Description
Book SynopsisComputational neuroanatomy is an emerging field that utilizes various non-invasive brain imaging modalities, such as MRI and DTI, in quantifying the spatiotemporal dynamics of the human brain structures in both normal and clinical populations. This discipline emerged about twenty years ago and has made substantial progress in the past decade. The main goals of this book are to provide an overview of various mathematical, statistical and computational methodologies used in the field to a wide range of researchers and students, and to address important yet technically challenging topics in further detail.
Table of ContentsIntroduction; Deformation-Based Morphometry; Voxel-Based Morphometry; Tensor-Based Morphometry; Diffusion Tensor Images; Geometry of Cortical Manifolds; Smoothing on Cortical Manifolds; Fourier Representation; Spherical Harmonic Representation; Structural Connectivity; Topological Characterization of Brain Structures.
