Imaging systems and technology Books

Book SynopsisThis new up-to-date edition of the successful handbook and ready reference retains the proven concept of the first, covering basic and advanced methods and applications in infrared imaging from two leading expert authors in the field. All chapters have been completely revised and expanded and a new chapter has been added to reflect recent developments in the field and report on the progress made within the last decade. In addition there is now an even stronger focus on real-life examples, with 20% more case studies taken from science and industry. For ease of comprehension the text is backed by more than 590 images which include graphic visualizations and more than 300 infrared thermography figures. The latter include many new ones depicting, for example, spectacular views of phenomena in nature, sports, and daily life. Table of ContentsPreface to Second Edition XVII Preface to First Edition XIX List of Acronyms XXIII 1 Fundamentals of Infrared Thermal Imaging 1 1.1 Introduction 1 1.2 Infrared Radiation 6 1.2.1 ElectromagneticWaves and the Electromagnetic Spectrum 6 1.2.2 Basics of Geometrical Optics for Infrared Radiation 10 1.2.2.1 Geometric Properties of Reflection and Refraction 10 1.2.2.2 Specular and Diffuse Reflection 12 1.2.2.3 Portion of Reflected and Transmitted Radiation: Fresnel Equations 12 1.3 Radiometry and Thermal Radiation 14 1.3.1 Basic Radiometry 15 1.3.1.1 Radiant Power, Excitance, and Irradiance 15 1.3.1.2 Spectral Densities of Radiometric Quantities 15 1.3.1.3 Solid Angles 16 1.3.1.4 Radiant Intensity, Radiance, and Lambertian Emitters 17 1.3.1.5 Radiation Transfer between Surfaces: Fundamental Law of Radiometry and View Factor 20 1.3.2 Blackbody Radiation 21 1.3.2.1 Definition 21 1.3.2.2 Planck Distribution Function for Blackbody Radiation 22 1.3.2.3 Different Representations of Planck’s Law 24 1.3.2.4 Stefan–Boltzmann Law 26 1.3.2.5 Band Emission 26 1.3.2.6 Order-of-Magnitude Estimate of Detector Sensitivities of IR Cameras 29 1.4 Emissivity 31 1.4.1 Definition 31 1.4.2 Classification of Objects according to Emissivity 32 1.4.3 Emissivity and Kirchhoff’s Law 32 1.4.4 Parameters Affecting Emissivity Values 34 1.4.4.1 Material 34 1.4.4.2 Irregular Surface Structure 34 1.4.4.3 Viewing Angle 35 1.4.4.4 Regular Geometry Effects 39 1.4.4.5 Wavelength 41 1.4.4.6 Temperature 42 1.4.4.7 Conclusion 43 1.4.5 Techniques toMeasure/Guess Emissivities for PracticalWork 44 1.4.6 Blackbody Radiators: Emissivity Standards for Calibration Purposes 45 1.5 Optical Material Properties in IR 49 1.5.1 Attenuation of IR Radiation while Passing throughMatter 50 1.5.2 Transmission of Radiation through the Atmosphere 51 1.5.3 Transmission of Radiation through Slablike SolidMaterials 54 1.5.3.1 Nonabsorbing Slabs 54 1.5.3.2 Absorbing Slabs 55 1.5.4 Examples of Transmission Spectra of Optical Materials for IR Thermal Imaging 56 1.5.4.1 Gray Materials in Used IR Spectral Ranges 56 1.5.4.2 Some Selective Absorbers 61 1.6 Thin Film Coatings: IR Components with Tailored Optical Properties 62 1.6.1 Interference ofWaves 63 1.6.2 Interference and Optical Thin Films 64 1.6.3 Examples of AR Coatings 65 1.6.4 Other Optical Components 66 1.7 Some Notes on the History of Infrared Science and Technology 69 1.7.1 Infrared Science 69 1.7.1.1 Discovery of Heat Rays and Atmospheric Absorption 69 1.7.1.2 Blackbodies and Blackbody Radiation 72 1.7.1.3 Radiation Laws 73 1.7.2 Development of Infrared Technology 76 1.7.2.1 Prerequisites for IR Imaging 77 1.7.2.2 Quantitative Measurements 84 1.7.2.3 Applications and Imaging Techniques 88 References 97 2 Basic Properties of IR Imaging Systems 107 2.1 Introduction 107 2.2 Detectors and Detector Systems 107 2.2.1 Parameters That Characterize Detector Performance 108 2.2.2 Noise Equivalent Temperature Difference 110 2.2.3 Thermal Detectors 111 2.2.3.1 Temperature Change of Detector 111 2.2.3.2 Temperature-Dependent Resistance of Bolometer 112 2.2.3.3 NEP and D* forMicrobolometer 113 2.2.4 Photon Detectors 117 2.2.4.1 Principle of Operation and Responsivity 117 2.2.4.2 D* for Signal-Noise-Limited Detection 119 2.2.4.3 D* for Background Noise Limited Detection 120 2.2.4.4 Necessity to Cool Photon Detectors 123 2.2.5 Types of Photon Detectors 125 2.2.5.1 Photoconductors 125 2.2.5.2 Photodiodes 126 2.2.5.3 Schottky Barrier Detectors 128 2.2.5.4 Quantum Well IR Photodetectors 128 2.2.5.5 Recent Developments in IR Detector Technology 132 2.3 Basic Measurement Process in IR Imaging 142 2.3.1 Radiometric Chain 142 2.3.2 Wavebands for Thermal Imaging 146 2.3.3 Selecting the AppropriateWaveband for Thermal Imaging 147 2.3.3.1 Total Detected Amount of Radiation 148 2.3.3.2 Temperature Contrast–Radiation Changes upon Temperature Changes 151 2.3.3.3 Influence of Background Reflections 155 2.3.3.4 Influence of Emissivity and Emissivity Uncertainties 158 2.3.3.5 Potential use of Bolometers in MWor SWband 168 2.4 Complete Camera Systems 173 2.4.1 Camera Design – Image Formation 173 2.4.1.1 Scanning Systems 174 2.4.1.2 Staring Systems–Focal-Plane Arrays 176 2.4.1.3 Nonuniformity Correction 180 2.4.1.4 Bad Pixel Correction 186 2.4.2 Photon Detector versus Bolometer Cameras 186 2.4.3 Detector Temperature Stabilization and Detector Cooling 188 2.4.4 Optics and Filters 191 2.4.4.1 Spectral Response 191 2.4.4.2 Chromatic Aberrations 191 2.4.4.3 Field of View 192 2.4.4.4 Extender Rings 195 2.4.4.5 Narcissus Effect 196 2.4.4.6 Spectral Filters 199 2.4.5 Calibration 200 2.4.6 Camera Operation 204 2.4.6.1 Switch-On Behavior of Cameras 205 2.4.6.2 Thermal Shock Behavior 206 2.4.7 Camera Software – Software Tools 208 2.5 Camera Performance Characterization 209 2.5.1 Temperature Accuracy 209 2.5.2 Temperature Resolution – Noise Equivalent Temperature Difference (NETD) 210 2.5.3 Spatial Resolution – IFOV and Slit Response Function 213 2.5.4 Image Quality: MTF, MRTD, and MDTD 216 2.5.5 Time Resolution – Frame Rate and Integration Time 221 References 226 3 AdvancedMethods in IR Imaging 229 3.1 Introduction 229 3.2 Spectrally Resolved Infrared Thermal Imaging 229 3.2.1 Using Filters 230 3.2.1.1 Glass Filters 231 3.2.1.2 Plastic Filters 233 3.2.1.3 Influence of Filters on Object Signal and NETD 234 3.2.2 Two-Color or Ratio Thermography 236 3.2.2.1 Neglecting Background Reflections 237 3.2.2.2 Approximations of Planck’s Radiation Law 240 3.2.2.3 Tobj Error for True Gray Bodies withinWien Approximation 242 3.2.2.4 Additional Tobj Errors Owing to Nongray Objects 246 3.2.2.5 Ratio Versus Single-Band-Radiation Thermometry 247 3.2.2.6 Exemplary Application of Two-Color Thermography 248 3.2.2.7 Extension of Ratio Method and Applications 254 3.2.3 Multi- and Hyperspectral Infrared Imaging 256 3.2.3.1 Principal Idea 256 3.2.3.2 Basics of FTIR Spectrometry 258 3.2.3.3 Advantages of FTIR Spectrometers 262 3.2.3.4 Example of a Hyperspectral Imaging Instrument 263 3.3 Superframing 265 3.3.1 Method 266 3.3.2 Example of High-Speed Imaging and Selected Integration Times 268 3.3.3 Cameras with Fixed Integration Time 270 3.4 Polarization in Infrared Thermal Imaging 271 3.4.1 Polarization and Thermal Reflections 272 3.4.1.1 Transition from Directed to Diffuse Reflections from Surfaces 272 3.4.1.2 Reflectivities for SelectedMaterials in the Thermal Infrared Range 276 3.4.1.3 Measuring Reflectivity Spectra: Laboratory Experiments 278 3.4.1.4 Identification and Suppression of Thermal Reflections: Practical Examples 281 3.4.2 Polarization-Sensitive Thermal Imaging 284 3.5 Processing of IR Images 285 3.5.1 Basic Methods of Image Processing 287 3.5.1.1 Image Fusion 287 3.5.1.2 Image Building 289 3.5.1.3 Image Subtraction 290 3.5.1.4 Consecutive Image Subtraction: Time Derivatives 293 3.5.1.5 Consecutive Image Subtraction: High-Sensitivity Mode 296 3.5.1.6 Image Derivative in Spatial Domain 296 3.5.1.7 Infrared Image Contrast and Digital Detail Enhancement 300 3.5.2 Advanced Methods of Image Processing 309 3.5.2.1 Preprocessing 311 3.5.2.2 Geometrical Transformations 313 3.5.2.3 Segmentation 314 3.5.2.4 Feature Extraction and Reduction 316 3.5.2.5 Pattern Recognition 319 3.5.2.6 Deblurring of Infrared Images 321 3.6 Active Thermal Imaging 327 3.6.1 Transient Heat Transfer – ThermalWave Description 330 3.6.2 Pulse Thermography 333 3.6.3 Lock-in Thermography 337 3.6.3.1 Nondestructive Testing of Metals and Composite Structures 340 3.6.3.2 Solar Cell Inspection 343 3.6.4 Pulsed Phase Thermography 345 References 346 4 Some Basic Concepts in Heat Transfer 351 4.1 Introduction 351 4.2 The Basic Heat TransferModes: Conduction, Convection, and Radiation 352 4.2.1 Conduction 352 4.2.2 Convection 355 4.2.3 Radiation 356 4.2.4 Convection Including Latent Heats 357 4.3 Selected Examples of Heat Transfer Problems 359 4.3.1 Overview 359 4.3.2 Conduction within Solids: The Biot Number 361 4.3.3 Steady-State Heat Transfer through One-DimensionalWalls and U-Value 364 4.3.4 Heat Transfer ThroughWindows 369 4.3.5 Steady-State Heat Transfer in Two- and Three-Dimensional Problems: Thermal Bridges 370 4.3.6 Dew Point Temperatures 372 4.4 Transient Effects: Heating and Cooling of Objects 373 4.4.1 Heat Capacity and Thermal Diffusivity 374 4.4.2 Short Survey of Quantitative Treatments of Time-Dependent Problems 375 4.4.3 Demonstration of Transient Heat Diffusion 377 4.4.4 Typical Time Constants for Transient Thermal Phenomena 377 4.4.4.1 Cooling Cube Experiment 379 4.4.4.2 Theoretical Modeling of Cooling of Solid Cubes 379 4.4.4.3 Time Constants for Different Objects 382 4.5 Some Thoughts on the Validity of Newton’s Law 383 4.5.1 Theoretical Cooling Curves 383 4.5.2 Relative Contributions of Radiation and Convection 385 4.5.3 Experiments: Heating and Cooling of Light Bulbs 389 References 392 5 Basic Applications for Teaching: Direct Visualization of Physics Phenomena 393 5.1 Introduction 393 5.2 Mechanics: Transformation of Mechanical Energy into Heat 394 5.2.1 Sliding Friction andWeight 394 5.2.2 Sliding Friction during Braking of Bicycles and Motorcycles 395 5.2.3 Sliding Friction: the Finger or Hammer Pencil 398 5.2.4 Inelastic Collisions: Tennis 398 5.2.5 Inelastic Collisions: The Human Balance 401 5.2.6 Temperature Rise of Floor and Feet whileWalking 402 5.2.7 Temperature Rise of Tires during Normal Driving of a Vehicle 403 5.2.8 Generating Heat by Periodic Stretching of Rubber 404 5.3 Thermal Physics Phenomena 406 5.3.1 Conventional Hot-Water-Filled Heaters 407 5.3.2 Thermal Conductivities 407 5.3.3 Conduction of Heat in Stack of Paper 410 5.3.4 Convection in Liquids 410 5.3.5 Convection Effects Due to Gases 414 5.3.6 Evaporative Cooling 414 5.3.7 Adiabatic Heating and Cooling 417 5.3.8 Heating of Cheese Cubes 418 5.3.9 Cooling of Bottles and Cans 422 5.4 Electromagnetism 424 5.4.1 Energy and Power in Simple Electric Circuits 424 5.4.2 Eddy Currents 426 5.4.3 Thermoelectric Effects 427 5.4.4 Experiments with Microwave Ovens 429 5.4.4.1 Setup 429 5.4.4.2 Visualization of Horizontal Modes 430 5.4.4.3 Visualization of Vertical Modes 431 5.4.4.4 Aluminum Foil in Microwave Ovens 431 5.5 Optics and Radiation Physics 432 5.5.1 Transmission ofWindow Glass, NaCl, and SiliconWafers 433 5.5.2 From Specular to Diffuse Reflection 435 5.5.3 Some Light Sources 437 5.5.4 Blackbody Cavities 437 5.5.5 Emissivities and Leslie Cube 439 Contents XI 5.5.6 From Absorption to Emission of Cavity Radiation 441 5.5.7 Selective Absorption and Emission of Gases 443 References 444 6 Shortwave Infrared Thermal Imaging 447 6.1 Introduction 447 6.2 The Why and How of SWInfrared Imaging 447 6.3 Some Applications of SWInfrared Imaging 450 6.3.1 Water OpticalMaterial Properties 452 6.3.2 Cameras Used in the Experiments 452 6.3.3 Selected Examples of SWImaging 454 6.3.3.1 High-Temperature Measurements 454 6.3.3.2 Vegetation Studies 456 6.3.3.3 Sky-to-Cloud Contrast Enhancement 458 6.3.3.4 Sorting Plastics and Detecting Liquid Levels in Plastic Containers 460 6.3.3.5 Looking Beneath the Surface 461 6.3.3.6 Undamaged Fresh Fruit/Vegetable Test 466 6.3.3.7 Material Properties of Liquids 467 6.3.3.8 Moisture onWalls 470 6.3.3.9 Other Applications of SW Imaging 470 6.4 Survey of Commercial Systems 472 References 472 7 IR Imaging of Buildings and Infrastructure 477 7.1 Introduction 477 7.1.1 Publicity of IR Images of Buildings 478 7.1.2 Just Colorful Images? 479 7.1.2.1 Level and Span 480 7.1.2.2 Choice of Color Palette 480 7.1.2.3 More on Palette, Level, and Span 480 7.1.3 General Problems Associated with Interpretation of IR Images 485 7.1.4 Energy Standard Regulations for Buildings 488 7.2 Some Standard Examples for Building Thermography 490 7.2.1 Half-Timbered Houses behind Plaster 490 7.2.2 Other Examples with OutsideWalls 493 7.2.3 Determining whether a Defect Is Energetically Relevant 494 7.2.4 The Role of Inside Thermal Insulation 497 7.2.5 Floor Heating Systems 498 7.3 Geometrical Thermal Bridges versus Structural Problems 500 7.3.1 Geometrical Thermal Bridges 500 7.3.2 Structural Defects 504 7.4 External Influences 507 7.4.1 Wind 507 7.4.2 Effect of Moisture in Thermal Images 509 7.4.3 Solar Load and Shadows 513 7.4.3.1 Modeling Transient Effects Due to Solar Load 513 7.4.3.2 Experimental Time Constants 516 7.4.3.3 Shadows 518 7.4.3.4 Solar Load of Structures withinWalls 519 7.4.3.5 Direct Solar Reflections 520 7.4.4 General View Factor Effects in Building Thermography 525 7.4.5 Night Sky Radiant Cooling and the View Factor 528 7.4.5.1 Cars Parked Outside or Below a Carport 529 7.4.5.2 Walls of Houses Facing a Clear Sky 531 7.4.5.3 View Factor Effects: Partial Shielding ofWalls by Carport 531 7.4.5.4 View Factor Effects: The Influence of Neighboring Buildings and Roof Overhang 533 7.5 Windows 534 7.5.1 General Features 534 7.5.2 Optically Induced Thermal Effects 539 7.6 Thermography and Blower-Door Tests 541 7.6.1 Close-Up Studies 543 7.6.2 Overview Studies 547 7.7 Quantitative IR Imaging: Total Heat Transfer through Building Envelope 549 7.8 New Developments and Conclusions 552 References 556 8 Industrial Application: Detection of Gases 561 8.1 Introduction 561 8.2 Spectra of Molecular Gases 561 8.3 Influences of Gases on IR Imaging: Absorption, Scattering, and Emission of Radiation 567 8.3.1 Introduction 567 8.3.2 Interaction of Gases with IR Radiation 567 8.3.3 Influence of Gases on IR Signals from Objects 569 8.4 Absorption by Cold Gases: Quantitative Aspects 572 8.4.1 Attenuation of Radiation by a Cold Gas 572 8.4.2 From Transmission Spectra to Absorption Constants 574 8.4.3 Transmission Spectra for Arbitrary Gas Conditions and IR Camera Signal Changes 574 8.4.4 Calibration Curves for Gas Detection 577 8.4.5 Problem: the Enormous Variety ofMeasurement Conditions 578 8.5 Thermal Emission from Hot Gases 580 8.6 New Developments 582 8.7 Practical Examples: Gas Detection with Commercial IR Cameras 588 8.7.1 Organic Compounds 588 8.7.2 Some Inorganic Compounds 591 8.7.3 CO2: Gas of the Century 594 8.7.3.1 Comparison of Broadband and Narrowband Detection 596 8.7.3.2 Detecting Volume Concentration of CO2 in Exhaled Air 597 8.7.3.3 Absorption, Scattering, and Thermal Emission of IR Radiation 597 8.7.3.4 Quantitative Result: Detecting Minute Amounts of CO2 in Air 599 8.7.3.5 Quantitative Result: Detection ofWell-Defined CO2 Gas Flows from a Tube 599 8.A Appendix: Survey of Transmission Spectra of Various Gases 602 8.A.1 Inorganic Compounds 1 604 8.A.2 Inorganic Compounds 2 605 8.A.3 Simple Hydrocarbons 1 606 8.A.4 Simple Hydrocarbons 2 607 8.A.5 Simple Multiple Bond Compounds and Some Alcohols 608 8.A.6 Some Ketones/Ethers 609 8.A.7 Some Benzene Compounds 610 8.A.8 Some HydrocarbonsWith Halogens 611 References 612 9 Microsystems 615 9.1 Introduction 615 9.2 Special Requirements for Thermal Imaging 616 9.2.1 Mechanical Stability of Setup 616 9.2.2 Microscope Objectives, Close-up Lenses, Extender Rings 616 9.2.3 High-Speed Recording 618 9.2.4 Temperature Measurement 618 9.3 Microfluidic Systems 619 9.3.1 Microreactors 619 9.3.1.1 Stainless Steel Falling Film Microreactor 619 9.3.1.2 Glass Microreactor 623 9.3.1.3 Silicon Microreactor 625 9.3.2 Micro Heat Exchangers 626 9.4 Microsensors 628 9.4.1 Thermal IR Sensors 628 9.4.1.1 IR Thermopile Sensors 629 9.4.1.2 IR Bolometer Sensors 632 9.4.2 Semiconductor Gas Sensors 635 9.5 Microsystems with Electric to Thermal Energy Conversion 637 9.5.1 Miniaturized IR Emitters 637 9.5.2 Micro Peltier Elements 639 9.5.3 Cryogenic Actuators 640 References 642 10 Selected Topics in Industry 645 10.1 Introduction 645 10.2 Miscellaneous Industrial Applications 645 10.2.1 Predictive Maintenance and Quality Control 645 10.2.2 Pipes and Valves in a Power Plant 647 10.2.3 Levels of Liquids in Tanks in Petrochemical Industry 648 10.2.4 Polymer Molding 651 10.2.5 Rack-Storage Fire Testing 652 10.3 Low-Voltage Electrical Applications 653 10.3.1 Early Microelectronic Boards 654 10.3.2 Macroscopic Electric Boards 655 10.3.3 ModernMicroelectronic Boards 656 10.4 High-Voltage Electrical Applications 656 10.4.1 Substation Transformers 657 10.4.2 Overheated High-Voltage Line 659 10.4.3 Electric Fan Defects 660 10.4.4 Oil Levels in High-Voltage Bushings 660 10.5 Metal Industry and High Temperatures 662 10.5.1 Direct Imaging of HotMetal Molds 662 10.5.2 Manufacturing Hot SolidMetal Strips: Thermal Reflections 663 10.5.3 Determination of Metal Temperatures if Emissivity Is Known 665 10.5.4 Determining Metal Temperatures for Unknown Emissivity: Gold Cup Method 666 10.5.5 Determining Metal Temperatures for Unknown Emissivity:Wedge and Black Emitter Method 667 10.5.6 Other Applications of IR Imaging in Metal Industry or at High Temperatures 669 10.6 Automobile Industry 670 10.6.1 Quality Control of Heating Systems 671 10.6.2 Active and Passive IR Night Vision Systems 672 10.6.3 IR Imaging of Race Cars 675 10.6.4 Motorcycles 676 10.7 Airplane and Spacecraft Industry 676 10.7.1 Imaging of Aircraft 676 10.7.2 Imaging of Spacecraft 678 10.8 Plastic Foils 683 10.8.1 Spectra: Selective Emitters 683 10.8.2 Images: Looking through Plastics 685 10.9 Surveillance and Security: Range of IR Cameras 687 10.9.1 Applications in Surveillance 687 10.9.2 Range of IR Cameras 688 10.10 Line Scanning Thermometry ofMoving Objects 694 10.11 Remote Sensing Using IR Imaging 695 10.11.1 Survey ofMethods 695 10.11.2 Some IR Imaging Applications Using Drones 699 References 702 11 Selected Applications in Other Fields 709 11.1 Medical Applications 709 11.1.1 Introduction 709 11.1.2 Diagnosis andMonitoring of Pain 712 11.1.3 Acupuncture 716 11.1.4 Breast Thermography and Detection of Breast Cancer 718 11.1.5 Other Medical Applications 719 11.1.5.1 Raynaud’s Phenomenon 719 11.1.5.2 Pressure Ulcers 720 11.2 Animals and Veterinary Applications 721 11.2.1 Pets 722 11.2.2 Zoo Animals 723 11.2.3 Equine Thermography 725 11.2.4 Wildlife 726 11.3 Sports 729 11.3.1 High-Speed Recording of Tennis Serve 729 11.3.2 Squash and Volleyball 732 11.3.3 Other Applications in Sports 734 11.4 Arts: Music, Contemporary Dancing, and Paintings 735 11.4.1 Musical Instruments 735 11.4.2 Contemporary Dance 737 11.4.3 Paintings 740 11.5 Nature 742 11.5.1 Sky and Clouds 742 11.5.2 Wildfires 746 11.5.3 Sun and Moon 749 11.5.4 InfraredMirages 752 11.5.5 Geothermal Phenomena 754 11.5.5.1 Geysers and Hot Springs 754 11.5.5.2 IR Thermal Imaging in Volcanology 756 References 760 Index 765

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Book SynopsisThe second edition ofRad Tech''s Guide to MRIprovides practicing and training technologists with a succinct overview of magnetic resonance imaging (MRI). Designed for quick reference and examination preparation, this pocket-size guide covers the fundamental principles of electromagnetism, MRI equipment, data acquisition and processing, image quality and artifacts, MR Angiography, Diffusion/Perfusion, and more. Written by an expert practitioner and educator, this handy reference guide: Provides essential MRI knowledge in a single portable, easy-to-read guide Covers instrumentation and MRI hardware components, including gradient and radio-frequency subsystems Provides techniques to handle flow imaging issues and improve the quality of MRIs Explains the essential physics underpinning MRI technology Rad Tech''s Guide to MRIis a must-have resource for student radiographers, especially those preparing for the AmeriTable of Contents1. Hardware Overview 1 Instrumentation: Magnets 1 Instrumentation: RF Subsystem 6 Instrumentation: Gradient Subsystem 8 2. Fundamental Principles 11 Electromagnetism: Faraday’s Law of Induction 11 Magnetism 12 Behavior of Hydrogen in a Magnetic Field 14 3. Production of Magnetic Resonance Signal 19 4. Relaxation and Tissue Characteristics 23 T2-Relaxation 23 T1-Relaxation 24 Proton Density 24 T2* (Pronounced “T2 star”) 25 5. Data Acquisition and Image Formation 27 Pulse Sequences 27 Image Contrast Control 30 Image Formation 42 Data Acquisition 43 Scan Time 50 Controlling Image Quality with FSE 57 6. Magnetic Resonance Image Quality 61 Spatial Resolution 61 Signal-to-Noise Ratio (SNR) 63 7. Artifacts 75 Chemical Shift (Water and Fat in Different Voxels) 75 Chemical Shift (Water and Fat in the Same Voxel) 77 Magnetic Susceptibility 79 Motion and Flow 81 Spatial Presaturation 82 Gradient Moment Nulling (Flow Compensation) 84 Compensation for Respiration 84 Cardiac Compensation 86 Aperiodic Motion 88 Aliasing 89 Gibbs and Truncation Artifact 91 Radio-Frequency Artifacts 92 Gradient Malfunctions 93 Image Shading 93 Inadequate System Tuning 94 Reconstruction Artifacts 94 8. Flow Imaging 97 Flow Patterns 97 Magnetic Resonance Angiography (Non Contrast) 98 Reduction of Flow Artifacts 102 Signal Loss in MRA 102 Two-Dimensional and Three-Dimensional Time-of-Flight 103 Signal Loss with Two-Dimensional TOF 104 Three-Dimensional TOF 106 Signal Loss with Three-Dimensional TOF 108 PC Techniques 109 Contrast Enhanced MRA (CE-MRA) 113 9. Diffusion and Perfusion Imaging 117 Diffusion-Weighted Imaging (DWI) 117 10. Gadolinium-Based Contrast Agents 125 Characteristics, Composition and Structure 125 Index 129

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Book SynopsisFully automated interpretation and understanding of remotely sensed data by a computer has been a challenge for many decades, and many approaches have been developed over the years. Significant advances in knowledge-based image understanding, machine learning and artificial intelligence has led to this topic being the focus of much research in recent years. This book highlights the different theoretical and application-oriented aspects and potential solutions to the topic of automated remote sensing data analysis. Thereby, both classical knowledge-based as well as modern machine learning-oriented concepts are described. A field such as this is specialized and dynamic and also interdisciplinary and multilayered. Written by an international team of experts, the book has therefore been split into parts dealing with the concepts and applications, and the focus is on elucidating the complementarity of different lines of research rather than providing the complete set of scientific approaches.Part A of this book gives insight into the basic theories and concepts of feature extraction, image understanding and the respective assessment strategies as well as into geometric, radiometric and sensor-related fundamentals of remote sensing technology. Part B focuses on various scientific and practical applications of remote sensing data analysis. These range from the automatic detailed reconstruction of complex 3D environments to visual tracking of objects in image sequences as well as monitoring natural and anthropogenic long-term processes on a regional scale. Part C sketches recent trends in automatic analysis of remote sensing data.Table of ContentsPart A: Methodology Introduction; Object, data and sensor modelling; Feature extraction from images and point clouds: Fundamentals, advances and trends; A short survey on supervised classification in remote; Context-based classification; Toward a framework for quality assessment in remote sensing applicationsPart B: Application From raw 3D point clouds to semantic objects; Traffic extraction and characterization from optical remote sensing data; Object extraction in image sequences; A process-based model approach to predict future land-use changes and link biodiversity with soil erosion in Chile; Interferometric SAR Image analysis for 3D building reconstruction; Detection and classification of collapsed buildings after a strong earthquake by means of laser scanning and image analysis; A settlement process analysis in coastal Benin - confronting scarce data availability in developing countriesPart C: Conclusion Benchmarking - a basic requirement for effective performance evaluation; Remote sensing and computer vision image analysis: summary and recent trends

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Book SynopsisIn their 112-year history, the many special characteristics of Calcium Aluminate Cements have led to their use in all kinds of applications that are beyond the capabilities of other cements, such as Portland cements. This encompasses characteristics such as chemical resistance, rapid hardening properties, high temperature resistance, and an ideal component for blended systems and many more. The first International conference on calcium aluminate cements was held in London in 1990 and since then there have been further events in Edinburgh (2001) and twice in Avignon, France (2008 and 2014). This volume presents the fifth conference in this series and once again provides essential reading for anyone interested in the subject. This volume contains over 60 international contributions with the most up to date information about calcium aluminates and their unique properties. Topics covered include new types, hydration and durability studies including blended systems, the latter are now widely used and some of these have significantly different hydration chemistry to the pure calcium aluminates. A variety of applications of these interesting cements is covered, including traditional applications such as concretes for contrasting marine situations (seabed and coastal), temperature-resistant refractory applications, formulated blended systems within the building chemistry sector along with the necessary admixtures and the many uses in corrosive biogenic situations that give sewage system infrastructure a considerably longer lifespan. Other new applications are also explored including 3D printing, thermochemical storage encapsulation, oil well cements, and ettringite-based repair systems. The peer-reviewed papers presented in these proceedings include a wide variety of techniques used by the authors to deliver new understanding of aspects of these cements and will undoubtedly drive future research into the various aspects of these cements.

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Book SynopsisWritten by a team of international experts, this book provides a comprehensive overview of the major applications of airborne and terrestrial laser scanning. The book focuses on principles and methods and presents an integrated treatment of airborne and terrestrial laser scanning technology. Laser scanning is a relatively young 3D measurement technique offering much potential in the acquisition of precise and reliable 3D geodata and object geometries. However, there are many terrestrial and airborne scanners on the market, accompanied by numerous software packages that handle data acquisition, processing and visualization, yet existing knowledge is fragmented over a wide variety of publications, whether printed or electronic. This book brings together the various facets of the subject in a coherent text that will be relevant for advanced students, academics and practitioners. After consideration of the technology and processing methods, the book turns to applications.The primary use thus far has been the extraction of digital terrain models from airborne laser scanning data, but many other applications are considered including engineering, forestry, cultural heritage, extraction of 3D building models and mobile mapping.Trade Review'The authors and editors are to be congratulated for this effort at bringning together the knowledge of the technology, data handling and applications of laser scanning in a comprehensive book for the first time. I would recommend it as essential reading for any student or professional in the fieldof geospatial technology and its applications.' GIS DEVELOPMENT '...the editors ... did a tremendous job and provided a comprehensive and coherent textbook... The book ... is a must-have textbook for students which are interested in the large field of airborne and terrestrial LiDAR and will surely become an important reference for practitioners involved in the acquisition and use of laser scanning data.' Photogrammetrie Fernerkundung Geoinformation '...a comprehensive work... This text provides a comprehensive account of airborne and terrestrial laser scanning. ... This will likely become a core textfor undergraduate students, but will doubtlessly also appeal to a broader range of readers, including those engaged in academic research and commercial practice.' Geomatics World '...this book will form a useful reference work... ...an excellent basic text... ...will serve as a reference book for the many users who need to understand the technology and principles of airborna and terrestrial laser scanning. There is no better alternative today.' International Journal of Digital Earth 'A valuable addition to laser scanning literature... For advanced undergraduates or postgrads, Chapters 1 to 3 are an excellent introduction to the technology, and for practitioners, the applications chapters show how laser scanning data is processd to produce the products they use in many, diverse disciplines. An excellent purchase for either group.' GEOconnexion InternationalTable of ContentsIntroduction. Laser Scanning Technology (J.-Angelo Beraldin, National Research Council Canada, Francois Blais, National Research Council Canada and Uwe Lohr, Lohr Consulting Germany). Visualisation and Structuring of Point Clouds (George Vosselman and Reinhard Klein). Registration and Calibration (Derek Lichti, University of Calgary, Canada and Jan Skaloud, Swiss Federal Institute of Technology [EPFL]). Extraction of Digital Terrain Models (Christian Briese, Vienna University of Technology, Austria). Building Extraction (Claus Brenner, Leibnitz Universitat Hannover, Germany). Forestry Applications (Hans-Gerd Maas). Engineering Applications (Roderick Lindenbergh, Technical University of Delft, Netherlands). Cultural Heritage Applications (Pierre Grussenmeyer, INSA Strasbourg, Graduate School of Science and Technology, France and Klaus Hanke, University of Innsbruck, Austria). Mobile Mapping (Hansjorg Kutterer, Leibniz Universitat Hannover, Germany). Index

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Book SynopsisWearable Systems Based Gait Monitoring and Analysis provides a thorough overview of wearable gait monitoring techniques and their use in health analysis. The text starts with an examination of the relationship between the human body’s physical condition and gait, and then introduces and explains nine mainstream sensing mechanisms, including piezoresistive, resistive, capacitive, piezoelectric, inductive, optical, air pressure, EMG and IMU-based architectures. Gait sensor design considerations in terms of geometry and deployment are also introduced. Diverse processing algorithms for manipulating sensors outputs to transform raw data to understandable gait features are discussed. Furthermore, gait analysis-based health monitoring demonstrations are given at the end of this book, including both medical and occupational applications. The book will enable students of biomedical engineering, electrical engineering, signal processing, and ergonomics and practitioners to understand the medical and occupational applications of engineering-based gait analysis and falling injury prevention methods.Table of ContentsIntroduction.- Characteristics of Gait.- Wearable Gait Detection Technologies.- Gait Analysis Algorithms.- Medical Applications.- Occupational Applications. Conclusions.

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Book SynopsisThe book explains to the reader the necessary considerations and modelling ideas required for the successful design of optical imaging systems incorporating diffractive surfaces.

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Book SynopsisFluorescent chemosensors have been widely applied in many diverse fields such as biology, physiology, pharmacology, and environmental sciences. The interdisciplinary nature of chemosensor research has continued to grow over the last 25 years to meet the increasing needs of monitoring our environment and health. More recently, a large range of fluorescent chemosensors have been established for the detection of biologically and/or environmentally important species, and are increasingly being used to solve biological problems. The use of these molecules as imaging probes to diagnose and treat disease is gaining momentum with clear future applications. This book will bring together world-leading experts to describe the current state of play in the field and introduce the cutting-edge research and possible future directions into fluorescent chemosensors design. Chapters focus on the basic principles involved in the design of chemosensors for specific analytes, problems, and challenges in the field. Concentrating on advanced techniques and methods, the book will be of use for academics and researchers across a number of disciplines, with international appeal.Table of ContentsWelcome to Fluorescent Chemosensors;Supramolecular Chemistry, Fluorescence, and Sensing;Activity-based Sensing: Principles and Probes for Selective Bioimaging;Aggregation-induced Emission-based Fluorescent Systems;Diversity-oriented Fluorescence Library Approach: Accelerating Probe Development for Biological and Environmental Applications;Two-photon Fluorescent Probes;Ratiometric Fluorescent Chemosensors: Photophysical/Chemical Mechanism Principles and Design Strategies;Chirality Sensing with UV-visible Absorbance, Fluorescence, and Circular Dichroism Spectroscopy;Fluorescent Carbon Nanoparticles;Fluorescent Chemosensors for Phosphates;Fluorescent Sensors for Reactive Oxygen Species;Subcellular Compartment-targeting Fluorescent Zn2+ Probes;Molecular Fluorescent Probes for the Detection and Imaging of Sulfane Sulfur and Reactive Selenium Species;The Activity-based Sensing of Biological Transition Metals;Activatable Photodynamic Photosensitizers for Cancer Treatment;Fluorescent Platforms for Environmental Sensing;Time-delayed Lanthanide Luminescent Sensors and Probes

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Book SynopsisThis book addresses the automatic sizing and layout of analog integrated circuits (ICs) using deep learning (DL) and artificial neural networks (ANN). It explores an innovative approach to automatic circuit sizing where ANNs learn patterns from previously optimized design solutions. In opposition to classical optimization-based sizing strategies, where computational intelligence techniques are used to iterate over the map from devices’ sizes to circuits’ performances provided by design equations or circuit simulations, ANNs are shown to be capable of solving analog IC sizing as a direct map from specifications to the devices’ sizes. Two separate ANN architectures are proposed: a Regression-only model and a Classification and Regression model. The goal of the Regression-only model is to learn design patterns from the studied circuits, using circuit’s performances as input features and devices’ sizes as target outputs. This model can size a circuit given its specifications for a single topology. The Classification and Regression model has the same capabilities of the previous model, but it can also select the most appropriate circuit topology and its respective sizing given the target specification. The proposed methodology was implemented and tested on two analog circuit topologies. Table of ContentsIntroduction.- Related Work.- Overview of Artificial Neural Networks (ANNs).- On the Exploration of Promising Analog IC Designs via ANNs.- ANNs as an Alternative for Automatic Analog IC Placement.- Conclusions.

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Book SynopsisThis book focuses on broadband power amplifier design for wireless communication. Nonlinear model embedding is described as a powerful tool for designing broadband continuous Class-J and continuous class F power amplifiers. The authors also discuss various techniques for extending bandwidth of load modulation based power amplifiers, such as Doherty power amplifier and Chireix outphasing amplifiers. The book also covers recent trends on digital as well as analog techniques to enhance bandwidth and linearity in wireless transmitters. Presents latest trends in designing broadband power amplifiers; Covers latest techniques for using nonlinear model embedding in designing power amplifiers based on waveform engineering; Describes the latest techniques for extending bandwidth of load modulation based power amplifiers such as Doherty power amplifier and Chireix outphasing amplifiers; Includes coverage of hybrid analog/digital predistortion as wideband solution for wireless transmitters; Discusses recent trends on on-chip power amplifier design with GaN /GaAs MMICs for high frequency applications. Table of ContentsIntroduction to RF Power Amplifier Design and Architecture.- Non-linear Device Characterization and Modeling for Power Amplifier Design.- Power Amplifier Design using nonlinear Model Embedding.- Broadband Techniques in Power Amplifiers.- Digital Techniques for Broadband and Linearized Transmitters.- Advance Material for Power Amplifiers Design and Packaging.

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Book SynopsisRemote Sensing Digital Image Analysis provides a comprehensive treatment of the methods used for the processing and interpretation of remotely sensed image data. Over the past decade there have been continuing and significant developments in the algorithms used for the analysis of remote sensing imagery, even though many of the fundamentals have substantially remained the same. As with its predecessors this new edition again presents material that has retained value but also includes newer techniques, covered from the perspective of operational remote sensing. The book is designed as a teaching text for the senior undergraduate and postgraduate student, and as a fundamental treatment for those engaged in research using digital image analysis in remote sensing. The presentation level is for the mathematical non-specialist. Since the very great number of operational users of remote sensing come from the earth sciences communities, the text is pitched at a level commensurate with their background. The chapters progress logically through means for the acquisition of remote sensing images, techniques by which they can be corrected, and methods for their interpretation. The prime focus is on applications of the methods, so that worked examples are included and a set of problems conclude each chapter.Table of ContentsSources and characteristics of remote sensing image data.- correcting and registering images.- interpreting images.- radiometric enhancement of images.- geometric processing and enhancement: image domain techniques.- spectral domain image transforms.- spatial domain image transforms.- supervised classification techniques.- clustering and unsupervised classification.- Feature Reduction.- Image Classification in Practice.- Multisource Image Analysis.

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Book SynopsisThis comprehensive and self-contained text presents the fundamentals of optical imaging from the viewpoint of both ray and wave optics, within a single volume. Comprising three distinct parts, it opens with an introduction to electromagnetic theory, including electromagnetic diffraction problems and how they can be solved with the aid of standard numerical methods such as RCWA or FDTD. The second part is devoted to the basic theory of geometrical optics and the study of optical aberrations inherent in imaging systems, including large-scale telescopes and high-resolution projection lenses. A detailed overview of state-of-the-art optical system design provides readers with the necessary tools to successfully use commercial optical design software. The final part explores diffraction theory and concludes with vectorial wave propagation, image formation and image detection in high-aperture imaging systems. The wide-ranging perspective of this important book provides researchers and professTrade Review'The breadth and depth of material in this book is astonishing. It will be a valuable addition to the bookshelf of any optical scientist with an interest in imaging. Anyone from a new graduate student to an expert with a lifetime of experience will be able to learn something from this text. I could imagine 'Braat and Török' becoming for optical imaging what 'Born and Wolf' is for classical optics.' Martin Booth, University of Oxford'A decade of the authors teaching graduate students led to the genesis of this comprehensive yet extremely clearly written book that fills the lacunae of multiple sources on imaging optics. I know of no other single source with a single notation that can substitute for Imaging Optics. This masterful treatise/textbook, replete with clear figures, will become a classic in optics. With a rigorous foundation of electromagnetic-wave propagation, the authors develop geometric optics, aberrations and optical design with many applications. A detailed analysis of diffraction in optical imaging is developed for the complete vector theory, including consideration of polarization. The vector theory of optical imaging of a point object with high-numerical-aperture microscope objectives is a topic of great utility in microscopy.' Barry R. Masters, Optics and Photonics News'Braat and Török manage a journey from Maxwell's equations to lens design in a seamless, beautifully written masterwork. This text will surely be an essential resource for an array of scientists and engineers, ranging from specialised designers to end users of imaging systems.' P. Scott Carney, University of Rochester'Imaging Optics establishes a clear connection among the electrodynamic theory of optical propagation, the various approaches to diffraction theory, and the practical methods used in the design and optimization of imaging systems … Imaging Optics [is] not only a good choice for students, but also a useful reference book for physicists and engineers interested in the design, development, and optimization of optical imaging systems.' Rémi Carminati, Physics TodayTable of ContentsPreface; Acknowledgement; Part I. Electromagnetic Theory in the Optical Domain: 1. Electromagnetic wave propagation in isotropic media; 2. Wave propagation in anisotropic media; 3. Surface waves, metamaterials and perfect imaging; Part II. Geometrical Theory of Optical Imaging: 4. Foundations of geometrical optics; 5. Aberration analysis of optical systems; 6. Analytic design and optimisation of optical systems; 7. Design methods for optical imaging systems; Part III. Diffraction Theory of Optical Imaging: 8. Vectorial and scalar theory of diffraction and focussing; 9. The aberrated scalar and vector point-spread function; 10. Frequency analysis of optical imaging; 11. Theory of vector imaging; Appendix A. Fourier analysis, complex notation and vector formulas; Appendix B. Phase and group velocity of a wave packet; Appendix C. The Kramers-Kronig dispersion relations; Appendix D. Zernike polynomials; Appendix E. Magnetically induced optical rotation (Faraday effect); Appendix F. Vector point-spread function in a multilayer structure; Appendix G. V. S Ignatowsky: diffraction by a lens of arbitrary aperture; References; Author index; Subject index.

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Book SynopsisThe first book on the topic, with each chapter written by pioneers in the field, this essential resource details the fundamental theory, applications, and future developments of liquid cell electron microscopy. This book describes the techniques that have been developed to image liquids in both transmission and scanning electron microscopes, including general strategies for examining liquids, closed and open cell electron microscopy, experimental design, resolution, and electron beam effects. A wealth of practical guidance is provided, and applications are described in areas such as electrochemistry, corrosion and batteries, nanocrystal growth, biomineralization, biomaterials and biological processes, beam-induced processing, and fluid physics. The book also looks ahead to the future development of the technique, discussing technical advances that will enable higher resolution, analytical microscopy, and even holography of liquid samples. This is essential reading for researchers and pTable of ContentsPart I. Technique: 1. Past, present and future electron microscopy of liquid specimens Niels de Jonge and Frances M. Ross; 2. Encapsulated liquid cells for transmission electron microscopy Eric Jensen and Kristian Mølhave; 3. Imaging liquid processes using open cells in the TEM, SEM, and beyond Chongmin Wang; 4. Membrane based environmental cells for SEM in liquids Andrei Kolmakov; 5. Observations in liquids using an inverted SEM Chikara Sato and Mitsuo Suga; 6. Temperature control in liquid cells for TEM Shen J. Dillon and Xin Chen; 7. Electron beam effects in liquid cell TEM and STEM Nicholas M. Schneider; 8. Resolution in liquid cell experiments Niels de Jonge, Nigel Browning, James E. Evans, See Wee Chee and Frances M. Ross; Part II. Applications: 9. Nanostructure growth, interactions and assembly in the liquid phase Hong-Gang Liao, Kai-Yang Niu and Haimei Zheng; 10. Quantifying electrochemical processes using liquid cell TEM Frances M. Ross; 11. Application of electrochemical liquid cells for electrical energy storage and conversion studies Raymond R. Unocic and Karren L. More; 12. Applications of liquid cell TEM in corrosion science See Wee Chee and M. Grace Burke; 13. Nanoscale water imaged by liquid cell TEM Utkur Mirsaidov and Paul Matsudaira; 14. Nanoscale deposition and etching of materials using focused electron beams and liquid reactants Eugenii U. Donev, Matthew Bresin and J. Todd Hastings; 15. Liquid cell TEM for studying environmental and biological mineral systems Michael H. Nielsen and James J. De Yoreo; 16. Liquid STEM for studying biological function in whole cells Diana B. Peckys and Niels de Jonge; 17. Visualizing macromolecules in liquid at the nanoscale Andrew C. Demmert, Madeline J. Dukes, Elliot Pohlmann, Kaya Patel, A. Cameron Varano, Zhi Sheng, Sarah M. McDonald, Michael Spillman, Utkur Mirsaidov, Paul Matsudaira and Deborah F. Kelly; 18. Application of liquid cell microscopy to study function of muscle proteins Haruo Sugi, Shigeru Chaen, Tsuyoshi Akimoto, Masaru Tanokura, Takuya Miyakawa and Hiroki Minoda; Part III. Prospects: 19. High resolution imaging in the graphene liquid cell Jungwon Park, Vivekananda P. Adiga, Alex Zettl and A. Paul Alivisatos; 20. Analytical electron microscopy during in situ liquid cell studies Megan E. Holtz, David A. Muller and Nestor J. Zaluzec; 21. Spherical and chromatic aberration correction for atomic-resolution liquid cell electron microscopy Rafal E. Dunin-Borkowski and Lothar Houben; 22. The potential for imaging dynamic processes in liquids with high temporal resolution Nigel D. Browning and James E. Evans; 23. Future prospects for biomolecular, biomimetic and biomaterials research enabled by new liquid cell electron microscopy techniques Taylor Woehl and Tanya Prozorov.

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Book SynopsisLearn about the theory, techniques and applications of wavefront shaping in biomedical imaging using this unique text. With authoritative contributions from researchers who are defining the field, cutting-edge theory is combined with real-world practical examples, experimental data and the latest research trends to provide the first book-level treatment of the subject. It is suitable for both background reading and use in a course, with coverage of essential topics such as adaptive optical microscopy, deep tissue microscopy, time reversal and optical phase conjugation, and tomography. The latest images from the forefront of biomedical imaging are included, and full-colour versions are available in the eBook version. Researchers, practitioners and graduate students in optics, biophotonics, biomedical engineering, and biology who use biomedical imaging tools and are looking to advance their knowledge of the subject will find this an indispensable resource.Trade Review'Perusal of this exciting book suggests that combinations of wavefront-shaping techniques with vortex light beams may result in significant advances of deep-tissue imaging of highly scattering live specimens.' Barry R. Masters, Optics and Photonics NewsTable of ContentsPart I. Adaptive Optical Microscopy for Biological Imaging: 1. Adaptive optical microscopy using image-based wavefront sensing Jacopo Antonello, Débora M. Andrade and Martin J. Booth; 2. Adaptive optical microscopy using guide-star based direct wavefront sensing Xiaodong Tao, Oscar Azucena and Joel Kubby; Part II. Deep Tissue Microscopy: 3. Deep tissue fluorescence microscopy Meng Cui; 4. Zonal adaptive optical microscopy for deep tissue imaging Cristina Rodrıguez and Na Ji; Part III. Focusing Light through Turbid Media using the Scattering Matrix: 5. Transmission matrix approach to light control in complex media Sylvain Gigan; 6. Coupling optical wavefront shaping and photoacoustics Emmanuel Bossy; 7. Imaging and controlling light propagation deep within scattering media using time-resolved reflection matrix Youngwoon Choi, Sungsam Kang and Wonshik Choi; Part IV. Focusing Light through Turbid Media using Feedback Optimization: 8. Feedback-based wavefront shaping Ivo M. Vellekoop; 9. Focusing light through scattering media using a micro-electro-mechanical systems spatial light modulator Yang Lu and Hari P. Paudel; 10. Computer-generated holographic techniques to control light propagating through scattering media using a digital-mirror-device spatial light modulator Antonio M. Caravaca-Aguirre and Rafael Piestun; 11. Transmission matrix correlations Roarke Horstmeyer, Ivo M. Vellekoop and Benjamin Judkewitz; Part V. Time Reversal, Optical Phase Conjugation: 12. Reflection matrix approaches in scattering media: from detection to imaging Amaury Badon, Alexandre Aubry and Mathias Fink; 13. Wavefront-engineered optical focusing into scattering media using ultrasound- or perturbation-based guide stars: TRUE, TRAP, SEWS, and PAWS Xiao Xu, Cheng Ma, Puxiang Lai and Lihong V. Wang; Part VI. Shaped Beams for Light Sheet Microscopy: 14. Light-sheet microscopy with wavefront shaped beams: looking deeper into objects and increasing image contrast Alexander Rohrbach; 15. Shaped beams for light sheet imaging and optical manipulation Tom Vettenburg and Kishan Dholakia; Part VII. Tomography: 16. Incoherent illumination tomography and adaptive optics Peng Xiao, Mathias Fink and A. Claude Boccara; 17. Computational adaptive optics for broadband optical interferometric tomography of biological tissue Nathan D. Shemonski, Yuan-Zhi Liu, Fredrick A. South and Stephen A. Boppart.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisThis textbook introduces basic and advanced embedded system topics through Arm Cortex M microcontrollers, covering programmable microcontroller usage starting from basic to advanced concepts using the STMicroelectronics Discovery development board. Designed for use in upper-level undergraduate and graduate courses on microcontrollers, microprocessor systems, and embedded systems, the book explores fundamental and advanced topics, real-time operating systems via FreeRTOS and Mbed OS, and then offers a solid grounding in digital signal processing, digital control, and digital image processing concepts — with emphasis placed on the usage of a microcontroller for these advanced topics. The book uses C language, “the” programming language for microcontrollers, C++ language, and MicroPython, which allows Python language usage on a microcontroller. Sample codes and course slides are available for readers and instructors, and a solutions manual is available to instructors. The book will also be an ideal reference for practicing engineers and electronics hobbyists who wish to become familiar with basic and advanced microcontroller concepts.Table of ContentsChapter 1. Introduction.- Chapter 2. Microcontroller Architecture.- Chapter 3. Software Development Platforms.- Chapter 4. Digital Input and Output.- Chapter 5. Interrupts and Power Management.- Chapter 6. Timing Operations.- Chapter 7. Conversion Between Analog and Digital Values.- Chapter 8. Digital Communication.- Chapter 9. Memory Operations.- Chapter 10. Real-Time Operating Systems.- Chapter 11. LCD, Touch Screen and Graphical User Interface Formation.- Chapter 12. Introduction to Digital Signal Processing.- Chapter 13. Introduction to Digital Control.- Chapter 14. Introduction to Digital Image Processing.- Chapter 15. Advanced Topics.

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Book SynopsisInformation on integrating soft computing techniques into video surveillance is widely scattered among conference papers, journal articles, and books. Bringing this research together in one source, Handbook on Soft Computing for Video Surveillance illustrates the application of soft computing techniques to different tasks in video surveillance. Worldwide experts in the field present novel solutions to video surveillance problems and discuss future trends.After an introduction to video surveillance systems and soft computing tools, the book gives examples of neural network-based approaches for solving video surveillance tasks and describes summarization techniques for content identification. Covering a broad spectrum of video surveillance topics, the remaining chapters explain how soft computing techniques are used to detect moving objects, track objects, and classify and recognize target objects. The book also explores advanced surveillance systems undTable of ContentsIntroduction to Video Surveillance Systems. The Role of Soft Computing in Image Analysis: Rough-Fuzzy Approach. Neural Networks in Video Surveillance: A Perspective View. Video Summarization and Significance of Content: A Review. Background Subtraction for Visual Surveillance: A Fuzzy Approach. Sensor and Data Fusion: Taxonomy, Challenges, and Applications. Independent Viewpoint Silhouette-Based Human Action Modeling and Recognition. Clustering for Multi-Perspective Video Analytics: A Soft Computing-Based Approach. An Unsupervised Video Shot Boundary Detection Technique Using Fuzzy Entropy Estimation of Video Content. Multi-Robot and Multi-Camera Patrolling. A Network of Audio and Video Sensors for Monitoring Large Environments. Index.

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Book SynopsisDocumentation of our cultural heritage is experiencing an explosion of innovation. New tools have appeared in recent decades including laser scanning, rapid prototyping, high dynamic range spherical and infrared imagery, drone photography, augmented and virtual reality and computer rendering in multiple dimensions. These give us visualisations and data that are at once interesting, intriguing and yet sometimes deceptive. This text provides an objective and integrated approach to the subject, bringing together the techniques of conservation with management, photographic methods, various modelling techniques and the use of unmanned aerial systems. This interdisciplinary approach addresses the need for knowledge about deploying advanced digital technologies and the materials and methods for the assessment, conservation, rehabilitation and maintenance of the sustainability of existing structures and designated historic buildings. Furthermore, this book actively provides the knowhow to facilitate the creation of heritage inventories, assessing risk, and addressing the need for sustainability.In so doing it becomes more feasible to mitigate the threats from inherent and external causes, not only for the built heritage but also for moveable objects and intangible heritage that suffer abandonment and negligence as well as looting and illegal trafficking. The book is written by a team of international experts based upon their practical experience and expertise. It therefore creates a unique book that encapsulates the knowledge of this discipline required by anyone working in this field.Trade Review`...this new publication is a welcome addition, highlighting how these 3D techniques can be utilised... ...this well-illustrated volume represents a useful contribution for scholars wishing to gain a better understanding of the underpinnings of 3D recording and documentation’. Medieval Archaeology -------------------- `...I found this book very valuable. It can reach an eclectic audience in providing a broad spectrum of the subject. This book is of major importance for Cultural Heritage 3D recording and management and...an important resource handbook’. International Institute for Conservation of Historic and Artistic Works -------------------- '...this new, richly illustrated reference publication on recording and documenting cultural heritage. ... For anyone considering a digital camera for survey purposes ... this chapter [4] is essential reading, and is rightfully one of the best references currently available on the science behind imaging. ...manages to provide what is probably the most up-to-date reference book on 3D recording, documentation and management of cultural heritage. For any heritage professional, academic, student or interested individual considering applying, acquiring, undertaking or researching digital imaging, photogrammetry, Structure-from-Motion, laser scanning, GIS, BIM or RPAS/UAV within a conservation context, this book should be essential reading before embarking down any one of these rapidly developing technological routes'. Conservation and Management of Archaeological Sites -------------------- '...the images in this book, both in colour and high-resolution, play a critical role along with the text. This is a well produced book that is wonderful to read and view. ...I find this book exceptional for its publishing quality, content and production. It clearly includes cutting-edge knowledge, awareness and experience from many contributors involved in cultural heritage processes around the globe...would be very useful to anyone involved in cultural heritage, documentation of history and site preservation and conservation. It can readily serve as a course text in addition to being a reference text. ... I've nothing but positive things to say about this book - I think you will too'. 3D Visualization WorldTable of ContentsIntroduction - current trends in cultural heritage and documentation; Conservation techniques in cultural heritage; Cultural heritage management tools: The role of GIS and BIM; Basics of photography for cultural heritage imaging; Basics of image-based modelling techniques in cultural heritage 3D recording; Basics of range-based modelling techniques in cultural heritage 3D recording; Cultural heritage documentation with RPAS/UAV

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Book SynopsisThe second edition of this book has been fully updated to include information on optical sensors launched since 2012 and on new developments in technology, particularly on small satellites and on constellations. There is also a new chapter on applications which looks at how products from optical sensors are used by various organisations for the benefit of end users. Information is given on acquiring images and value added products. Examples and case studies from various disciplines and regions are included. The book is a comprehensive guide to the characteristics and use of high resolution optical images from satellite-borne sensors, concentrating on sensors designed for mapping. It considers in detail the SPOT series of satellites and sensors with a ground sample distance (GSD) of less than 15m, operational since SPOT 1 and particularly the sensors launched since 1999 with GSD of less than 1m The book explains to students, anyone working in map production and scientists working in fields other than mapping, the way in which high resolution imagery is obtained and the issues which surround its collection and use. It deals progressively with the fundamentals of mapping from imagery, followed by the key features in the design of sensors and methods of data storage and transmission, including data compression. Subsequent chapters cover the sensors, calibration, sensor models and the methods of determining the orientation elements and extracting coordinates from the images. Rigorous orientation, use of rational polynomial coefficients (RPCs) and approximate methods are covered. Results from tests showing the accuracy which can be obtained, generation of digital elevations models, their accuracy and the production of orthoimages are included, as are image processing and data fusion. Finally, future missions and the issues which face further development are discussed. High Resolution Optical Satellite Imagery is written by a team of acknowledged international experts, is the only comprehensive text on the subject and has been well received by the geospatial community.Table of ContentsIntroduction; History of Optical Sensors in Space; Principles of High Resolution Optical Sensors; Sensors with a GSD of Greater than 1 m up to 16 m; Sensors with a GSD of 1 m or less; Calibration, Sensor Models and Orientation; Processing and Products; Applications; Conclusions and Future Developments; Index

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Book SynopsisIn kurzer und prägnanter Form behandelt dieses Buch die grundlegende Theorie zur Beschreibung von Signalen und Systemen der Informationstechnik. Zugunsten von Plausibilitätsbetrachtungen tritt die strenge mathematische Beweisführung oft in den Hintergrund, ohne jedoch auf die Exaktheit zu verzichten. Dieses Studienbuch unterstützt die anwendungsbezogene Lehre an Fachhochschul- und Gesamthochschulen, indem es zwischen den stetig wachsenden Bedürfnissen der Lehre und den zeitlichen Möglichkeiten eine angemesse Lösung anbietet.Table of ContentsDie wichtigsten Grundlagen aus der Signal- und Systemtheorie - Die Fouriertransformation und Anwendungen - Ideale Übertragungssysteme - Die Laplace-Transformation und einige Anwendungen in der Systemtheorie - Zeitdiskrete Signale und Systeme - Stochastische Signale - Lineare Systeme mit zufälligen Eingangssignalen

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Book SynopsisThis book describes the latest development in optical fiber devices, and their applications to sensor technology. Optical fiber sensors, an important application of the optical fiber, have experienced fast development, and attracted wide attentions in basic science as well as in practical applications.Trade Review“The book provides a well-organized and in-depth treatment of optical fiber sensors for students and can also serve as a convenient reference for engineers and scientists working in the field.” (IEEE Electrical Insulation Magazine, 1 March 2014) Table of ContentsPreface xi 1 Introduction 1 1.1 Historical Review and Perspective 1 1.2 Classifications of Optical Fiber Sensors 3 1.3 Overview of the Chapters 6 References 8 2 Fundamentals of Optical Fibers 10 2.1 Introduction to Optical Fibers 10 2.1.1 Basic Structure and Fabrication of Optical Fiber 10 2.1.2 Basic Characteristics 12 2.1.3 Classifications of Optical Fibers 17 2.2 Electromagnetic Theory of Step-Index Optical Fibers 18 2.2.1 Maxwell Equations in Cylindrical Coordinates 19 2.2.2 Boundary Conditions and Eigenvalue Equations 23 2.2.3 Weakly Guiding Approximation, Hybrid Modes, and Linear Polarized Modes 26 2.2.4 Field Distribution and Polarization Characteristics 29 2.2.5 Multimode Fiber and Cladding Modes 35 2.2.6 Propagation of Optical Pulses in Optical Fibers 39 2.3 Basic Theory of the Gradient-Index Optical Fiber 42 2.3.1 Ray Equation in Inhomogeneous Media 42 2.3.2 Ray Optics of GRIN Fiber 46 2.3.3 Wave Optics of GRIN Fiber 51 2.3.4 Basic Characteristics of Gradient Index Lens 56 2.4 Special Optical Fibers 57 2.4.1 Rare-Earth-Doped Fibers and Double-Cladding Fibers 57 2.4.2 Polarization Maintaining Fibers 60 2.4.3 Photonic Crystal Fiber and Microstructure Fiber 64 Problems 69 References 71 3 Fiber Sensitivities and Fiber Devices 76 3.1 Fiber Sensitivities to Physical Conditions 76 3.1.1 Sensitivity to Axial Strain 77 3.1.2 Sensitivity to Lateral Pressure 78 3.1.3 Bending-Induced Birefringence 83 3.1.4 Torsion-Induced Polarization Mode Cross-Coupling 87 3.1.5 Bending Loss 91 3.1.6 Vibration and Mechanical Waves in Fiber 95 3.1.7 Sensitivity to Temperature 96 3.2 Fiber Couplers 97 3.2.1 Structures and Fabrications of 2×2 Couplers 98 3.2.2 Basic Characteristics and Theoretical Analyses of the Coupler 99 3.2.3 N×N and 1×N Fiber Star Couplers 110 3.2.4 Coupling in Axial Direction and Tapered Fiber 114 3.3 Fiber Loop Devices Incorporated with Couplers 118 3.3.1 Fiber Sagnac Loops 118 3.3.2 Fiber Rings 126 3.3.3 Fiber Mach–Zehnder Interferometers and Michelson Interferometers 131 3.3.4 Fiber Loops Incorporated with 3×3 Couplers 135 3.4 Polarization Characteristics of Fibers 142 3.4.1 Polarization State Evolution in Fibers 142 3.4.2 Basic Characteristics of Polarization Mode Dispersion 154 3.4.3 Spun Fiber and Circular Birefringence Fiber 157 3.4.4 Faraday Rotation and Optical Activity 159 3.5 Fiber Polarization Devices 162 3.5.1 Fiber Polarizers 162 3.5.2 Fiber Polarization Controller 165 3.5.3 Fiber Depolarizer and Polarization Scrambler 166 3.5.4 Fiber Optical Isolator and Circulator 170 Problems 172 References 174 4 Fiber Gratings and Related Devices 183 4.1 Introduction to Fiber Gratings 183 4.1.1 Basic Structure and Principle 183 4.1.2 Photosensitivity of Optical Fiber 186 4.1.3 Fabrication and Classifications of Fiber Gratings 190 4.2 Theory of Fiber Grating 194 4.2.1 Theory of Uniform FBG 194 4.2.2 Theory of Long-Period Fiber Grating 202 4.2.3 Basic Theory of Nonuniform Fiber Gratings 208 4.2.4 Inverse Engineering Design 214 4.2.5 Apodization of Fiber Grating 219 4.3 Special Fiber Grating Devices 222 4.3.1 Multisection FBGs 222 4.3.2 Chirped Fiber Bragg Grating 233 4.3.3 Tilted Fiber Bragg Gratings 236 4.3.4 Polarization Maintaining Fiber Gratings 243 4.3.5 In-Fiber Interferometers and Acoustic Optic Tunable Filter 246 4.4 Fiber Grating Sensitivities and Fiber Grating Sensors 249 4.4.1 Sensitivities of Fiber Gratings 250 4.4.2 Tunability of Fiber Gratings 252 4.4.3 Packaging of Fiber Grating Devices 255 4.4.4 Fiber Grating Sensor Systems and Their Applications 259 Problems 263 References 266 5 Distributed Optical Fiber Sensors 278 5.1 Optical Scattering in Fiber 278 5.1.1 Elastic Optical Scattering 279 5.1.2 Inelastic Optical Scattering 281 5.1.3 Stimulated Raman Scattering and Stimulated Brillouin Scattering 285 5.2 Distributed Sensors Based on Rayleigh Scattering 286 5.2.1 Optical Time Domain Reflectometer 286 5.2.2 Polarization OTDR 292 5.2.3 Coherent OTDR and Phase Sensitive OTDR 294 5.2.4 Optical Frequency Domain Reflectometry 298 5.3 Distributed Sensors Based on Raman Scattering 300 5.3.1 Raman Scattering in Fiber 301 5.3.2 Distributed Anti-Stokes Raman Thermometry 304 5.3.3 Frequency Domain DART 307 5.4 Distributed Sensors Based on Brillouin Scattering 308 5.4.1 Brillouin Scattering in Fiber 308 5.4.2 Brillouin Optical Time Domain Reflectrometer 312 5.4.3 Brillouin Optical Time Domain Analyzer 316 5.5 Distributed Sensors Based on Fiber Interferometers 322 5.5.1 Configuration and Characteristics of Interferometric Fiber Sensors 323 5.5.2 Low Coherence Technology in a Distributed Sensor System 327 5.5.3 Sensors Based on Speckle Effect and Mode Coupling in Multimode Fiber 331 Problems 335 References 337 6 Fiber Sensors With Special Applications 351 6.1 Fiber Optic Gyroscope 351 6.1.1 Interferometric FOG 352 6.1.2 Brillouin Laser Gyro and Resonance Fiber Optic Gyroscope 362 6.2 Fiber Optic Hydrophone 364 6.2.1 Basic Structures 365 6.2.2 Sensor Arrays and Multiplexing 370 6.2.3 Low Noise Laser Source 372 6.3 Fiber Faraday Sensor 373 6.3.1 Faraday Effect in Fiber 374 6.3.2 Electric Current Sensor Based on Faraday Rotation 376 6.4 Fiber Sensors Based on Surface Plasmon Effect 379 6.4.1 Surface Plasmon Effect 379 6.4.2 Sensors Based on SPW 383 Problems 386 References 387 7 Extrinsic Fiber Fabry–Perot Interferometer Sensor 395 7.1 Basic Principles and Structures of Extrinsic Fiber F-P Sensors 395 7.1.1 Structures of EFFP Devices 396 7.1.2 Basic Characteristics of a Fabry–Perot Interferometer 398 7.2 Theory of a Gaussian Beam Fabry–Perot Interferometer 401 7.2.1 Basic Model and Theoretical Analysis 401 7.2.2 Approximation as a Fizeau Interferometer 404 7.3 Basic Characteristics and Performances of EFFPI Sensors 406 7.3.1 Sensitivity of an EFFPI Sensor 406 7.3.2 Linear Range and Dynamic Range of Measurement 408 7.3.3 Interrogation and Stability 410 7.3.4 Frequency Response 413 7.4 Applications of the EFFPI Sensor and Related Techniques 417 7.4.1 Localization of the Sound Source 417 7.4.2 Applications in an Atomic Force Microscope 418 7.4.3 More Application Examples 419 Problems 421 References 422 Appendices 427 Appendix 1 Mathematical Formulas 427 A1.1 Bessel Equations and Bessel Functions 427 A1.2 Runge–Kutta Method 432 A1.3 The First-Order Linear Differential Equation 433 A1.4 Riccati Equation 433 A1.5 Airy Equation and Airy Functions 434 Appendix 2 Fundamentals of Elasticity 435 A2.1 Strain, Stress, and Hooke’s Law 435 A2.2 Conversions Between Coordinates 438 A2.3 Plane Deformation 440 A2.4 Equilibrium of Plates and Rods 443 A2.5 Photoelastic Effect 446 Appendix 3 Fundamentals of Polarization Optics 446 A3.1 Polarized Light and Jones Vector 446 A3.2 Stokes Vector and Poincar´e Sphere 447 A3.3 Optics of Anisotropic Media 449 A3.4 Jones Matrix and Mueller Matrix 450 A3.5 Measurement of Jones Vector and Stokes Vector 453 Appendix 4 Specifications of Related Materials and Devices 454 A4.1 Fiber Connectors 456 Index 459

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Book SynopsisThe third book in the trilogy that explores the popular missional movement From Reggie McNeal, the bestselling author of The Present Future and Missional Renaissance, comes the third book in the series that helps to define and illuminate the popular missional movement. This newest book in the trilogy examines a natural outgrowth of the move toward a missional orientation: the deconstruction of congregations into very small Christian communities. For all those thousands of churches and leaders who have followed Reggie McNeal''s bold lead, this book details the rise of a new life form in churches. Discusses how to move a church from an internal to an external ministry focus Reggie McNeal is a recognized leader in the missional movement Outlines an alternative to the program church model that is focused on the projects and passions of the congregants This book draws on McNeal''s twenty years of leadership roles in localTable of ContentsAbout the Jossey-Bass Leadership Network Series xi Foreword by Hugh Halter xiii Acknowledgments xvii Introduction xix 1 ‘‘Let There Be . . . Missional Communities’’ 1 2 The Missional Church Conversation 15 3 Missional Communities—European Style 39 4 Soma Communities: Missional Communities as Organizing Architecture 65 5 Campus Renewal UT: Missional Communities as Campus Evangelism Strategy 85 6 Future Travelers: Missional Communities as Megachurch Strategy 103 7 Mission Houston: Missional Communities for Spiritual Formation and Community Transformation 125 8 Looking Ahead 145 About the Author 155 Index 157

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Book SynopsisIn order to truly understand data signals transmitted by satellite, one must understand scintillation theory in addition to well established theories of EM wave propagation and scattering. Scintillation is a nuisance in satellite EM communications, but it has stimulated numerous theoretical developments with science applications.Table of Contents1. Introduction. 1.1 Electromagnetic Propagation Theory. 1.2 Anticipating Scintillation Theory. 2. The Forward Propagation Equation. 2.1 Weakly Inhomogeneous Media. 2.2 Numerical Simulations. 3. The Statistical Theory of Scintillation. 3.1 Background. 3.2 Calculation of Field Moments. 3.3 Second-Order Moments. 3.4 Fourth-Order Moments. 3.5 Intensity Statistics. 3.6 Numerical Simulations. 3.7 Statistical Theory Limitations. 4. Beacon Satellite Scintillation. 4.1 Geometric Considerations. 4.2 Phase Structure Revisited. 4.3 Complex Field Coherence Revisited. 4.4 Satellite Orbit & Earth Magnetic Field Calculation. 4.5 Examples. 4.6 Theory and Simulations. 5. System Applications of Scintillation. 5.1 An Introduction to Waveforms. 5.2 Scintillation Channel Model. 5.3 System Performance Analysis. 5.4 Scintillation Data Processing. 5.5 Scintillation Data Interpretation. 5.6 Beacon Satellite Research. 6. Scattering and Boundaries. 6.1 Embedded Compact Scattering Objects. 6.2 Boundary Surfaces. Appendix A. A.1 Far-Field Approximation. A.2 Backscatter. A.3 Anisotropy Transformations. A.4 Wavefront Curvature Correction. A.5 Two-Dimensional Boundary Integrals. References. Index.

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Book SynopsisFourier Methods in Imaging first introduces the basic mathematical concepts of linear algebra for vectors and functions, a knowledge of which is necessary for understanding the subsequent discussions.Trade Review"Overall, this is an excellent text, appropriate for the graduate student approaching this material for the first time, and for the seasoned professional looking for an up-to-date reference." (Journal of Electronic Imaging, 1 April 2011) "This comprehensive textbook represents a practical review of Fourier techniques in imaging methods. It will be very useful for graduate students (in engineering, science, computer science, and applied mathematics) as well as engineers interested in linear imaging systems." (Zentralblatt Math, 2010)Table of ContentsSeries Editor’s Preface. Preface. 1 Introduction. 1.1 Signals, Operators, and Imaging Systems. 1.2 The Three Imaging Tasks. 1.3 Examples of Optical Imaging. 1.4 ImagingTasks inMedical Imaging. 2 Operators and Functions. 2.1 Classes of Imaging Operators. 2.2 Continuous and Discrete Functions. Problems. 3 Vectors with Real-Valued Components. 3.1 Scalar Products. 3.2 Matrices. 3.3 Vector Spaces. Problems. 4 Complex Numbers and Functions. 4.1 Arithmetic of Complex Numbers. 4.2 Graphical Representation of Complex Numbers. 4.3 Complex Functions. 4.4 Generalized Spatial Frequency – Negative Frequencies. 4.5 Argand Diagrams of Complex-Valued Functions. Problems. 5 Complex-Valued Matrices and Systems. 5.1 Vectors with Complex-Valued Components. 5.2 Matrix Analogues of Shift-Invariant Systems. 5.3 Matrix Formulation of ImagingTasks. 5.4 Continuous Analogues of Vector Operations. Problems. 6 1-D Special Functions. 6.1 Definitions of 1-D Special Functions. 6.2 1-D Dirac Delta Function. 6.3 1-D Complex-Valued Special Functions. 6.4 1-D Stochastic Functions–Noise. 6.5 Appendix A: Area of SINC[x] and SINC2[x]. 6.6 Appendix B: Series Solutions for Bessel Functions J0[x] and J1[x]. Problems. 7 2-D Special Functions. 7.1 2-D Separable Functions. 7.2 Definitions of 2-D Special Functions. 7.3 2-D Dirac Delta Function and its Relatives. 7.4 2-D Functions with Circular Symmetry. 7.5 Complex-Valued 2-D Functions. 7.6 Special Functions of Three (orMore) Variables. Problems. 8 Linear Operators. 8.1 Linear Operators. 8.2 Shift-Invariant.Operators. 8.3 Linear Shift-Invariant (LSI) Operators. 8.4 Calculating Convolutions. 8.5 Properties of Convolutions. 8.6 Autocorrelation. 8.7 Crosscorrelation. 8.8 2-DLSIOperations. 8.9 Crosscorrelations of 2-D Functions. 8.10 Autocorrelations of 2-D.Functions. Problems. 9 Fourier Transforms of 1-D Functions. 9.1 Transforms of Continuous-Domain Functions. 9.2 Linear Combinations of Reference Functions. 9.3 Complex-Valued Reference Functions. 9.4 Transforms of Complex-Valued Functions. 9.5 Fourier Analysis of Dirac Delta Functions. 9.6 Inverse Fourier Transform. 9.7 Fourier Transforms of 1-D Special Functions. 9.8 Theorems of the Fourier Transform. 9.9 Appendix: Spectrum of Gaussian via Path Integral. Problems. 10 Multidimensional Fourier Transforms. 10.1 2-D Fourier Transforms. 10.2 Spectra of Separable 2-D Functions. 10.3 Theorems of 2-D Fourier Transforms. Problems. 11 Spectra of Circular Functions. 11.1 The Hankel Transform. 11.2 Inverse Hankel Transform. 11.3 Theorems of Hankel Transforms. 11.4 Hankel Transforms of Special Functions. 11.5 Appendix: Derivations of Equations (11.12) and (11.14). Problems. 12 The Radon Transform. 12.1 Line-Integral Projections onto Radial Axes. 12.2 Radon Transforms of Special Functions. 12.3 Theorems of the Radon Transform. 12.4 Inverse Radon Transform. 12.5 Central-Slice Transform. 12.6 Three Transforms of Four Functions. 12.7 Fourier and Radon Transforms of Images. Problems. 13 Approximations to Fourier Transforms. 13.1 Moment Theorem. 13.2 1-D Spectra via Method of Stationary Phase. 13.3 Central-Limit Theorem. 13.4 Width Metrics and Uncertainty Relations. Problems. 14 Discrete Systems, Sampling, and Quantization. 14.1 Ideal Sampling. 14.2 Ideal Sampling of Special Functions. 14.3 Interpolation of Sampled Functions. 14.4 Whittaker–Shannon Sampling Theorem. 14.5 Aliasingand Interpolation. 14.6 “Prefiltering” to Prevent Aliasing. 14.7 Realistic Sampling. 14.8 Realistic Interpolation. 14.9 Quantization. 14.10 Discrete Convolution. Problems. 15 Discrete Fourier Transforms. 15.1 Inverse of the Infinite-Support DFT. 15.2 DFT over Finite Interval. 15.3 Fourier Series Derived from Fourier Transform. 15.4 Efficient Evaluation of the Finite DFT. 15.5 Practical Considerations for DFT and FFT. 15.6 FFTs of 2-D Arrays. 15.7 Discrete Cosine Transform. Problems. 16 Magnitude Filtering. 16.1 Classes of Filters. 16.2 Eigenfunctions of Convolution. 16.3 Power Transmission of Filters. 16.4 Lowpass Filters. 16.5 Highpass Filters. 16.6 Bandpass Filters. 16.7 Fourier Transform as a Bandpass Filter. 16.8 Bandboost and Bandstop Filters. 16.9 Wavelet Transform. Problems. 17 Allpass (Phase) Filters. 17.1 Power-Series Expansion for Allpass Filters. 17.2 Constant-Phase Allpass Filter. 17.3 Linear-Phase Allpass Filter. 17.4 Quadratic-Phase Filter. 17.5 Allpass Filters with Higher-Order Phase. 17.6 Allpass Random-Phase Filter. 17.7 Relative Importance of Magnitude and Phase. 17.8 Imaging of Phase Objects. 17.9 Chirp Fourier Transform. Problems. 18 Magnitude–Phase Filters. 18.1 Transfer Functions of Three Operations. 18.2 Fourier Transform of Ramp Function. 18.3 Causal Filters. 18.4 Damped Harmonic Oscillator. 18.5 Mixed Filters with Linear or Random Phase. 18.6 Mixed Filter with Quadratic Phase. Problems. 19 Applications of Linear Filters. 19.1 Linear Filters for the Imaging Tasks. 19.2 Deconvolution– “Inverse Filtering”. 19.3 Optimum Estimators for Signals in Noise. 19.4 Detection of Known Signals – Matched Filter. 19.5 Analogies of Inverse and Matched Filters. 19.6 Approximations to Reciprocal Filters. 19.7 Inverse Filtering of Shift-Variant Blur. Problems. 20 Filtering in Discrete Systems. 20.1 Translation, Leakage, and Interpolation. 20.2 Averaging Operators– Lowpass Filters. 20.3 Differencing Operators – Highpass Filters. 20.4 Discrete Sharpening Operators. 20.5 2-DGradient. 20.6 Pattern Matching. 20.7 Approximate Discrete Reciprocal Filters. Problems. 21 Optical Imaging in Monochromatic Light. 21.1 Imaging Systems Based on Ray Optics Model. 21.2 Mathematical Model of Light Propagation. 21.3 Fraunhofer Diffraction. 21.4 Imaging System based on Fraunhofer Diffraction. 21.5 Transmissive Optical Elements. 21.6 Monochromatic Optical Systems. 21.7 Shift-Variant Imaging Systems. Problems. 22 Incoherent Optical Imaging Systems. 22.1 Coherence. 22.2 Polychromatic Source – Temporal Coherence. 22.3 Imaging in Incoherent Light. 22.4 System Function in Incoherent Light. Problems. 23 Holography. 23.1 Fraunhofer Holography. 23.2 Holography in Fresnel Diffraction Region. 23.3 Computer-Generated Holography. 23.4 Matched Filtering with Cell-Type CGH. 23.5 Synthetic-Aperture Radar (SAR). Problems. References. Index.

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Book SynopsisLearn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems development, making it easier to master such tasks as classification, clustering, and feature selection. Rough-Fuzzy Pattern Recognition examines the important underlying theory as well as algorithms and applications, helping readers see the connections between theory and practice. The first chapter provides an introduction to pattern recognition and data mining, including the Table of ContentsForeword xiii Preface xv About the Authors xix 1 Introduction to Pattern Recognition and Data Mining 1 1.1 Introduction 1 1.2 Pattern Recognition 3 1.2.1 Data Acquisition 4 1.2.2 Feature Selection 4 1.2.3 Classification and Clustering 5 1.3 Data Mining 6 1.3.1 Tasks, Tools, and Applications 7 1.3.2 Pattern Recognition Perspective 8 1.4 Relevance of Soft Computing 9 1.5 Scope and Organization of the Book 10 References 14 2 Rough-Fuzzy Hybridization and Granular Computing 21 2.1 Introduction 21 2.2 Fuzzy Sets 22 2.3 Rough Sets 23 2.4 Emergence of Rough-Fuzzy Computing 26 2.4.1 Granular Computing 26 2.4.2 Computational Theory of Perception and f -Granulation 26 2.4.3 Rough-Fuzzy Computing 28 2.5 Generalized Rough Sets 29 2.6 Entropy Measures 30 2.7 Conclusion and Discussion 36 References 37 3 Rough-Fuzzy Clustering: Generalized c-Means Algorithm 47 3.1 Introduction 47 3.2 Existing c-Means Algorithms 49 3.2.1 Hard c-Means 49 3.2.2 Fuzzy c-Means 50 3.2.3 Possibilistic c-Means 51 3.2.4 Rough c-Means 52 3.3 Rough-Fuzzy-Possibilistic c-Means 53 3.3.1 Objective Function 54 3.3.2 Cluster Prototypes 55 3.3.3 Fundamental Properties 56 3.3.4 Convergence Condition 57 3.3.5 Details of the Algorithm 59 3.3.6 Selection of Parameters 60 3.4 Generalization of Existing c-Means Algorithms 61 3.4.1 RFCM: Rough-Fuzzy c-Means 61 3.4.2 RPCM: Rough-Possibilistic c-Means 62 3.4.3 RCM: Rough c-Means 63 3.4.4 FPCM: Fuzzy-Possibilistic c-Means 64 3.4.5 FCM: Fuzzy c-Means 64 3.4.6 PCM: Possibilistic c-Means 64 3.4.7 HCM: Hard c-Means 65 3.5 Quantitative Indices for Rough-Fuzzy Clustering 65 3.5.1 Average Accuracy, α Index 65 3.5.2 Average Roughness, ϱ Index 67 3.5.3 Accuracy of Approximation, α⋆ Index 67 3.5.4 Quality of Approximation, γ Index 68 3.6 Performance Analysis 68 3.6.1 Quantitative Indices 68 3.6.2 Synthetic Data Set: X32 69 3.6.3 Benchmark Data Sets 70 3.7 Conclusion and Discussion 80 References 81 4 Rough-Fuzzy Granulation and Pattern Classification 85 4.1 Introduction 85 4.2 Pattern Classification Model 87 4.2.1 Class-Dependent Fuzzy Granulation 88 4.2.2 Rough-Set-Based Feature Selection 90 4.3 Quantitative Measures 95 4.3.1 Dispersion Measure 95 4.3.2 Classification Accuracy, Precision, and Recall 96 4.3.3 κ Coefficient 96 4.3.4 β Index 97 4.4 Description of Data Sets 97 4.4.1 Completely Labeled Data Sets 98 4.4.2 Partially Labeled Data Sets 99 4.5 Experimental Results 100 4.5.1 Statistical Significance Test 102 4.5.2 Class Prediction Methods 103 4.5.3 Performance on Completely Labeled Data 103 4.5.4 Performance on Partially Labeled Data 110 4.6 Conclusion and Discussion 112 References 114 5 Fuzzy-Rough Feature Selection using f -Information Measures 117 5.1 Introduction 117 5.2 Fuzzy-Rough Sets 120 5.3 Information Measure on Fuzzy Approximation Spaces 121 5.3.1 Fuzzy Equivalence Partition Matrix and Entropy 121 5.3.2 Mutual Information 123 5.4 f -Information and Fuzzy Approximation Spaces 125 5.4.1 V -Information 125 5.4.2 Iα-Information 126 5.4.3 Mα-Information 127 5.4.4 χα-Information 127 5.4.5 Hellinger Integral 128 5.4.6 Renyi Distance 128 5.5 f -Information for Feature Selection 129 5.5.1 Feature Selection Using f -Information 129 5.5.2 Computational Complexity 130 5.5.3 Fuzzy Equivalence Classes 131 5.6 Quantitative Measures 133 5.6.1 Fuzzy-Rough-Set-Based Quantitative Indices 133 5.6.2 Existing Feature Evaluation Indices 133 5.7 Experimental Results 135 5.7.1 Description of Data Sets 136 5.7.2 Illustrative Example 137 5.7.3 Effectiveness of the FEPM-Based Method 138 5.7.4 Optimum Value of Weight Parameter β 141 5.7.5 Optimum Value of Multiplicative Parameter η 141 5.7.6 Performance of Different f -Information Measures 145 5.7.7 Comparative Performance of Different Algorithms 152 5.8 Conclusion and Discussion 156 References 156 6 Rough Fuzzy c-Medoids and Amino Acid Sequence Analysis 161 6.1 Introduction 161 6.2 Bio-Basis Function and String Selection Methods 164 6.2.1 Bio-Basis Function 164 6.2.2 Selection of Bio-Basis Strings Using Mutual Information 166 6.2.3 Selection of Bio-Basis Strings Using Fisher Ratio 167 6.3 Fuzzy-Possibilistic c-Medoids Algorithm 168 6.3.1 Hard c-Medoids 168 6.3.2 Fuzzy c-Medoids 169 6.3.3 Possibilistic c-Medoids 170 6.3.4 Fuzzy-Possibilistic c-Medoids 171 6.4 Rough-Fuzzy c-Medoids Algorithm 172 6.4.1 Rough c-Medoids 172 6.4.2 Rough-Fuzzy c-Medoids 174 6.5 Relational Clustering for Bio-Basis String Selection 176 6.6 Quantitative Measures 178 6.6.1 Using Homology Alignment Score 178 6.6.2 Using Mutual Information 179 6.7 Experimental Results 181 6.7.1 Description of Data Sets 181 6.7.2 Illustrative Example 183 6.7.3 Performance Analysis 184 6.8 Conclusion and Discussion 196 References 196 7 Clustering Functionally Similar Genes from Microarray Data 201 7.1 Introduction 201 7.2 Clustering Gene Expression Data 203 7.2.1 k-Means Algorithm 203 7.2.2 Self-Organizing Map 203 7.2.3 Hierarchical Clustering 204 7.2.4 Graph-Theoretical Approach 204 7.2.5 Model-Based Clustering 205 7.2.6 Density-Based Hierarchical Approach 206 7.2.7 Fuzzy Clustering 206 7.2.8 Rough-Fuzzy Clustering 206 7.3 Quantitative and Qualitative Analysis 207 7.3.1 Silhouette Index 207 7.3.2 Eisen and Cluster Profile Plots 207 7.3.3 Z Score 208 7.3.4 Gene-Ontology-Based Analysis 208 7.4 Description of Data Sets 209 7.4.1 Fifteen Yeast Data 209 7.4.2 Yeast Sporulation 211 7.4.3 Auble Data 211 7.4.4 Cho et al. Data 211 7.4.5 Reduced Cell Cycle Data 211 7.5 Experimental Results 212 7.5.1 Performance Analysis of Rough-Fuzzy c-Means 212 7.5.2 Comparative Analysis of Different c-Means 212 7.5.3 Biological Significance Analysis 215 7.5.4 Comparative Analysis of Different Algorithms 215 7.5.5 Performance Analysis of Rough-Fuzzy-Possibilistic c-Means 217 7.6 Conclusion and Discussion 217 References 220 8 Selection of Discriminative Genes from Microarray Data 225 8.1 Introduction 225 8.2 Evaluation Criteria for Gene Selection 227 8.2.1 Statistical Tests 228 8.2.2 Euclidean Distance 228 8.2.3 Pearson’s Correlation 229 8.2.4 Mutual Information 229 8.2.5 f -Information Measures 230 8.3 Approximation of Density Function 230 8.3.1 Discretization 231 8.3.2 Parzen Window Density Estimator 231 8.3.3 Fuzzy Equivalence Partition Matrix 233 8.4 Gene Selection using Information Measures 234 8.5 Experimental Results 235 8.5.1 Support Vector Machine 235 8.5.2 Gene Expression Data Sets 236 8.5.3 Performance Analysis of the FEPM 236 8.5.4 Comparative Performance Analysis 250 8.6 Conclusion and Discussion 250 References 252 9 Segmentation of Brain Magnetic Resonance Images 257 9.1 Introduction 257 9.2 Pixel Classification of Brain MR Images 259 9.2.1 Performance on Real Brain MR Images 260 9.2.2 Performance on Simulated Brain MR Images 263 9.3 Segmentation of Brain MR Images 264 9.3.1 Feature Extraction 265 9.3.2 Selection of Initial Prototypes 274 9.4 Experimental Results 277 9.4.1 Illustrative Example 277 9.4.2 Importance of Homogeneity and Edge Value 278 9.4.3 Importance of Discriminant Analysis-Based Initialization 279 9.4.4 Comparative Performance Analysis 280 9.5 Conclusion and Discussion 283 References 283 Index 287

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Book SynopsisNMR in Pharmaceutical Sciencesis intended to be a comprehensive source of information for the many individuals that utilize MR in studies of relevance to the pharmaceutical sector. The book is intended to educate and inform those who develop and apply MR approaches within the wider pharmaceutical environment, emphasizing the toolbox that is available to spectroscopists and radiologists. This book is structured on the key processes in drug discovery, development and manufacture, but underpinned by an understanding of fundamental NMR principles and the unique contribution that NMR (including MRI) can provide. After an introductory chapter, which constitutes an overview, the content is organised into five sections. The first section is on the basics of NMR theory and relevant experimental methods. The rest follow a sequence based on the chronology of drug discovery and development, firstly ''Idea to Lead'' then ''Lead to Drug Candidate'', followed by ''Clinical DevelopmenTable of ContentsContributors xi Series Preface xvii Preface xix Part A: Introduction 1 1 Drug Discovery and Development: The Role of NMRJeremy R. Everett 3 Part B: NMR Theory & Experimental Methods 21 2 Modern NMR Pulse Sequences in Pharmaceutical R&DJohn A. Parkinson 23 3 Experimental NMR Methods for Pharmaceutical Research and DevelopmentAnthony C. Dona 41 4 19F NMR Spectroscopy: Applications in Pharmaceutical StudiesJohn C. Lindon and Ian D. Wilson 53 5 Quantitative NMR Spectroscopy in Pharmaceutical R&DUlrike Holzgrabe 63 6 High-throughput NMR in Pharmaceutical R&DJohn C. Hollerton 79 7 Multivariate Data Analysis Methods for NMR-based Metabolic Phenotyping in Pharmaceutical and Clinical ResearchKirill A. Veselkov, James S. McKenzie, and Jeremy K. Nicholson 89 Part C: Idea to Lead 103 8 The Role of NMR in Target Identification and Validation for Pharmaceutical R&DKrishna Saxena and Harald Schwalbe 105 9 High-resolution MAS NMR of Tissues and CellsLeo L. Cheng 117 10 NMR Studies of Inborn Errors of MetabolismSarantos Kostidis and Emmanuel Mikros 131 11 NMR-based Structure Confirmation of Hits and Leads in Pharmaceutical R&DPhilip J. Sidebottom 147 12 Fragment-based Drug Design Using NMR MethodsLeonor Puchades-Carrasco and Antonio Pineda-Lucena 155 13 Hit Discovery from Natural Products in Pharmaceutical R&DOlivia Corcoran 173 Part D: Lead to Drug Candidate 183 14 NMR-based Structure Determination of Drug Leads and CandidatesTorren M. Peakman 185 15 Mixture Analysis in Pharmaceutical R&D Using Hyphenated NMR TechniquesIan D. Wilson and John C. Lindon 197 16 Conformation and Stereochemical Analysis of Drug MoleculesGary J. Sharman 207 17 NMR Methods for the Assignment of Absolute Stereochemistry of Bioactive CompoundsJose M. Seco and Ricardo Riguera 221 18 Applications of Preclinical MRI/MRS in the Evaluation of Drug Efficacy and SafetyThomas M. Bocan, Lauren Keith, and David M. Thomasson 255 19 Practical Applications of NMR Spectroscopy in Preclinical Drug Metabolism StudiesRaman Sharma and Gregory S. Walker 267 20 Preclinical Drug Efficacy and Safety Using NMR SpectroscopyMuireann Coen and Ian D. Wilson 281 21 Characterization of Pharmaceutical Compounds by Solid-state NMRFrederick G. Vogt 297 22 Structure-based Drug Design Using NMRMark Jeeves, Lee Quill, and Michael Overduin 317 23 Pharmaceutical Technology Studied by MRIDavid G. Reid and Stephen J. Byard 331 Part E: Clinical Development 345 24 NMR-based Metabolic Phenotyping for Disease Diagnosis and StratificationBeatriz Jiménez 347 25 NMR-based Pharmacometabonomics: A New Approach to Personalized MedicineJeremy R. Everett 359 26 Clinical MRI Studies of Drug Efficacy and SafetyDavid G. Reid, Paul D. Hockings, and Nadeem Saeed 373 27 The Role of NMR in the Protection of Intellectual Property in Pharmaceutical R&DFrederick G. Vogt 385 Part F: Drug Manufacture 395 28 Analysis of Counterfeit Medicines and Adulterated Dietary Supplements by NMRMyriam Malet-Martino and Robert Martino 397 29 Pharmaceutical Industry: Regulatory Control and Impact on NMR SpectroscopyAndrea Ruggiero and Sarah K. Branch 413 30 NMR Spectroscopy in the European and US PharmacopeiasHelen Corns and Sarah K. Branch 425 31 NMR in Pharmaceutical ManufacturingEdwin Kellenbach and Paulo Dani 441 Index 453

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Book SynopsisThis fifth edition of the most accessible introduction to MRI principles and applications from renowned teachers in the field provides an understandable yet comprehensive update. Accessible introductory guide from renowned teachers in the field Provides a concise yet thorough introduction for MRI focusing on fundamental physics, pulse sequences, and clinical applications without presenting advanced math Takes a practical approach, including up-to-date protocols, and supports technical concepts with thorough explanations and illustrations Highlights sections that are directly relevant to radiology board exams Presents new information on the latest scan techniques and applications including 3 Tesla whole body scanners, safety issues, and the nephrotoxic effects of gadolinium-based contrast media Table of ContentsPreface, ix ABR study guide topics, xi 1 Production of net magnetization 1 1.1 Magnetic fields 1 1.2 Nuclear spin 2 1.3 Nuclear magnetic moments 4 1.4 Larmor precession 4 1.5 Net magnetization 6 1.6 Susceptibility and magnetic materials 8 2 Concepts of magnetic resonance 10 2.1 Radiofrequency excitation 10 2.2 Radiofrequency signal detection 12 2.3 Chemical shift 14 3 Relaxation 17 3.1 T1 relaxation and saturation 17 3.2 T2 relaxation, T2* relaxation, and spin echoes 21 4 Principles of magnetic resonance imaging – 1 26 4.1 Gradient fields 26 4.2 Slice selection 28 4.3 Readout or frequency encoding 30 4.4 Phase encoding 33 4.5 Sequence looping 35 5 Principles of magnetic resonance imaging – 2 39 5.1 Frequency selective excitation 39 5.2 Composite pulses 44 5.3 Raw data and image data matrices 46 5.4 Signal-to-noise ratio and tradeoffs 47 5.5 Raw data and k-space 48 5.6 Reduced k-space techniques 51 5.7 Reordered k-space filling techniques 54 5.8 Other k-space filling techniques 56 5.9 Phased-array coils 58 5.10 Parallel acquisition methods 60 6 Pulse sequences 65 6.1 Spin echo sequences 67 6.2 Gradient echo sequences 70 6.3 Echo planar imaging sequences 75 6.4 Magnetization-prepared sequences 77 7 Measurement parameters and image contrast 86 7.1 Intrinsic parameters 87 7.2 Extrinsic parameters 89 7.3 Parameter tradeoffs 91 8 Signal suppression techniques 94 8.1 Spatial presaturation 94 8.2 Magnetization transfer suppression 96 8.3 Frequency-selective saturation 99 8.4 Nonsaturation methods 101 9 Artifacts 103 9.1 Motion artifacts 103 9.2 Sequence/Protocol-related artifacts 105 9.3 External artifacts 119 10 Motion artifact reduction techniques 126 10.1 Acquisition parameter modification 126 10.2 Triggering/Gating 127 10.3 Flow compensation 132 10.4 Radial-based motion compensation 134 11 Magnetic resonance angiography 135 11.1 Time-of-flight MRA 137 11.2 Phase contrast MRA 141 11.3 Maximum intensity projection 144 12 Advanced imaging applications 147 12.1 Diffusion 147 12.2 Perfusion 153 12.3 Functional brain imaging 156 12.4 Ultra-high field imaging 158 12.5 Noble gas imaging 159 13 Magnetic resonance spectroscopy 162 13.1 Additional concepts 162 13.2 Localization techniques 167 13.3 Spectral analysis and postprocessing 169 13.4 Ultra-high field spectroscopy 173 14 Instrumentation 177 14.1 Computer systems 177 14.2 Magnet system 180 14.3 Gradient system 182 14.4 Radiofrequency system 184 14.5 Data acquisition system 186 14.6 Summary of system components 187 15 Contrast agents 189 15.1 Intravenous agents 190 15.2 Oral agents 195 16 Safety 196 16.1 Base magnetic field 197 16.2 Cryogens 197 16.3 Gradients 198 16.4 RF power deposition 198 16.5 Contrast media 199 17 Clinical applications 200 17.1 General principles of clinical MR imaging 200 17.2 Examination design considerations 202 17.3 Protocol considerations for anatomical regions 203 17.4 Recommendations for specific sequences and clinical situations 218 References and suggested readings 222 Index 225

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Book SynopsisMRI PHYSICS MRI PHYSICSTECH TO TECH EXPLANATIONSTechnologists must have a solid understanding of the physics behind Magnetic Resonance Imaging (MRI), including safety, the hows and whys of the quantum physics of the MR phenomenon, and how to competently operate MRI scanners. Generating the highest quality images of the human body involves thorough knowledge of scanner hardware, pulse sequences, image contrast, geometric parameters, and tissue suppression techniques.MRI Physics: Tech to Tech Explanations is designed to help student MRI technologists and radiotherapists preparing for Advanced MRI certification examinations to better understand difficult concepts and topics in a quick and easy manner.Written by a highly experienced technologist, this useful guide provides clear and reader-friendly coverage of what every MR Technologist needs to know. Topics include safety considerations associated with the magnetic field and RF, pulse sequences, Table of ContentsAbout the Author xv Preface xvii Acknowledgements xix Introduction 1 1 Hardware: Magnet Types and Coils 15 Magnets 15 Coils 17 2 The Basics 23 Why the Hydrogen Molecule? 24 The Net Magnetization Vector 26 MRI is a Sequence of Events 27 Free Induction Decay (FID) 32 Relaxation 33 Proton Density 38 Image Contrast 38 The IQ Triangle: Contrast, SNR, Resolution 39 B0 and B1 43 Free and Bound Protons 44 3 Image Weighting 47 Where Does Image Weighting Come From? 48 Time of Repetition (TR) 50 Time of Echo (TE) 52 TE and TR 54 Why Different TR Ranges for Different Field Strengths? 54 How Does TR Control T1? 55 What Does TR Affect? 56 Interpreting the T1 Relaxation Curve 57 Time of Repetition: Effects of the TR 57 TE: The T1 and T2 of it 58 Interpreting the T2 Relaxation Curve 60 Effects of TE on Image Contrast 62 What Do the Lines on the Curves Really Mean Anyway? 62 One Last Weighting Triangle 65 T1 and T2 Contrast Review 66 4 Introduction to the Basic Pulse Sequences 69 What is a Pulse Sequence? 69 Spin Echo (SE) 70 Gradient Echo/Gradient Recalled Echo (GRE) 73 Line Diagram Anatomy 74 The Ernst Angle 77 5 Multi Echo Spin Echo Sequence 81 Introduction to k-Space 82 k-Space: Phase Encoding 85 With FSE, Watch the Speed Limit! 86 k-Space, ETL, and Image Contrast 87 Filling k-Space 89 Pros and Cons of FSE 89 Another Way to View T2* and 180°s 91 Where Do Relaxation and Decay Curves Come From? 92 A T2* Curve Compared to the T2 Curve 93 Metal Artifact Reduction (MARS) 94 Driven Equilibrium: A “Forced T1” 95 3D FSE: CUBE/SPACE/VISTA 97 Single Shot FSE/HASTE 98 6 Tissue Suppression 105 Tissue Saturation versus Suppression 107 Inversion Recovery – Part One: STIR 108 Inversion Recovery: STIR with Vectors 109 Inversion Recovery Part Two: T2 FLAIR 113 IR Sequences: T1 and T2 FLAIR 116 IR Weightings: STIR, T1 and T2 FLAIR 117 Inversion Recovery – Part Two 119 The Rupture View 120 Tissue Saturation: Chemical Shift 121 Chemical Saturation at Low Fields 123 Tissue Saturation: SPAIR and SPIR 124 The Dixon Technique 126 Water Excitation 126 Saturation Pulses or Bands 129 Subtractions 131 Magnetization Transfer 135 IR Prepped Sequences 137 How is an RF Pulse Selective or Non-Selective? 140 Water Excitation Sequences 142 7 The Gradient Echo Sequence 145 GRE Sequence Structure 147 Phase Dispersion and Gradient Reversal 148 Analog to Digital Converter (ADC) 149 GRE Sequence Image Weighting 149 Two Different Kinds of T2 Relaxation 152 The GRE Weighting Triangle 153 GRE and SE Differences 156 Different Gradient Echo Types 157 In and Out of Phase TEs 161 In Phase/Out of Phase at 1.5 T 163 8 Gradient Echo Magnetic Resonance Angiography 167 Time of Flight MRA 168 TOF Angiography: Two Golden Rules 171 Types of MRA Sequences 171 TOF Concept in MRA versus MRV 172 2D versus 3D 172 2D TOF MRAs 175 3D TOF MRAs 176 In-Plane Saturation 178 In-Plane Saturation Avoidance 179 Magnetization Transfer (MT) 181 Options for Better MRAs 183 Phase Contrast MRA 185 9 k-Space 191 What Is Fourier Transform? 192 k-Space Filling 192 10 Echo Planar Sequences 203 Diffusion Weighted Imaging 205 Diffusion Tensor Imaging or White Matter Tractography 215 Susceptibility Weighted Imaging 216 Brain Perfusion 218 Arterial Spin Labeling 222 Spectroscopy 225 11 Geometric Parameters: Trade-offs and Effects on Image Quality 231 Field of View (FOV) Is Your Film Size 232 Nex, ACQ, NSA, and SNR 235 Scan Matrix 237 Frequency Matrix 237 Echo Train Length 238 Echo Spacing 239 Echo Train Balancing 240 Slice Thickness and Slice Gap 242 Fractional Echo 243 Bandwidth 244 Rectangular (Rec.) FOV 249 No Phase Wrap/Phase Oversampling/Fold-Over Suppression 251 Concatenations or Acquisitions 254 Sequential Order Acquisition 255 12 Image Artifacts 257 Motion 258 Flow Artifact/Phase Mis-registration 262 RF Artifacts 265 Wrap/Aliasing/Fold-over Artifact 265 Gibbs Artifact (Ringing/Truncation) 268 Chemical Shift Artifact 271 Cross-talk 276 Cross-excitation 278 Gradient Warp or Distortion 281 Metal Artifacts 281 Corduroy Artifact 283 Annifact 284 Moiré Fringe Artifact or Zebra Artifact 285 Magnetic Susceptibility Artifact 286 Dielectric Effect or Standing Wave 288 Magic Angle Artifact 290 13 Gradients 295 Physical Gradients 296 Logical Gradients 302 14 MRI Math 313 The Larmor Equation: W0 = γB0 314 Acquisitions or Nex or NSA 314 Scan Time Equations 315 Pixel Size and Voxel Volume 317 How to Convert Hz per Pixel to MHz 318 In and Out of Phase TEs 319 Dixon Method or Technique 320 SNR and the 3D Sequence 321 15 Parallel Imaging 325 Parallel Imaging: What Is It? 325 When and Where to Use the Speed 326 Parallel Imaging: How Does It Work? 327 Parallel Imaging: Pros and Cons 330 16 IV Gadolinium 335 Why We Use Gad 336 How Does Gad Shorten the T1 of Tissues? 337 The Blood–Brain Barrier 341 Post Contrast T2 FLAIR Imaging 342 Imaging Gadolinium 345 Eovist® 347 Glossary 351 Suggested Reading 388 Index 389

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Book SynopsisPodcasting is a powerful tool of communication and creative expression that doesn''t need to be intimidating. This book brings together the creative and technical aspects of audio engineering to help podcasters communicate their ideas effectively and creatively. The Podcaster''s Audio Handbook focuses on simple techniques that immediately elevate the audio quality of your podcast. The book provides an overview of podcast recording and editing techniques, so that podcasters can avoid common pitfalls. Readers will also gain access to audio downloads to enhance the learning process. With this book, you can improve the technical aspects of recording and editing your podcasts. Anyone can learn audio techniques and I encourage anyone to share their stories through podcasting. Unleash your creativity and connect with your audience!  What You Will Learn  Choose the correct file formats and settings  Set up a portable recorder  MaTable of ContentsThe Podcaster's Audio HandbookPreface (old chapter 1)Chapter 1: File Formats and Settings (old chapter 2)Chapter 2: Gear (old chapter 3)Chapter 3: Getting a Good Take (old chapter 7)Chapter 4: Recording InsideChapter 5: Recording OutsideChapter 6: Recording RemotelyChapter 7: Editing (old chapter 8)

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Book SynopsisThis handbook introduces speckle techniques to nonspecialists to help them understand the basic principles of speckle interferometry. The book mainly focuses on the use of speckle patterns with direct phase-measuring methods that produce an instantaneous phase. The major electronic speckle pattern interferometry (ESPI) techniques are presented using simplified mathematical notation that includes rigid-body and standard-body displacements to estimate object pose changes with six degrees of freedom. Additionally, the adoption of temporal phase unwrapping instead of spatial phase unwrapping is promoted. This handbook also includes a summary of recent industrial applications, with an update on current research in the ESPI field.Table of Contents Fundamentals of Interference Speckle Interference and Displacement Electronic Speckle Pattern Interferometers Illumination and Displacement Detection Transient Displacement Analysis Phase Detection

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