Description

Featuring 229 sharp, new images obtained with state-of-the-art technology, the Second Edition of this popular pocket atlas is a quick, handy guide to interpreting computed tomography body images. It shows readers how to recognize normal anatomic structures on CT scans...and distinguish these structures from artifacts.Chapters cover the neck and larynx, thorax, portal venous phase abdomen, pelvis, arterial phase abdomen, and reconstructions. Each page presents a high-resolution image, with anatomic landmarks clearly labeled. Directly above the image are a key to the labels and a thumbnail illustration that orients the reader to the location and plane of view. This format--sharp images, orienting thumbnails, and clear keys--enables readers to identify features with unprecedented speed and accuracy.

Pocket Atlas of Body CT Anatomy

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£26.50

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Paperback / softback by W. Richard Webb , Michael B. Gotway

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Description:

Featuring 229 sharp, new images obtained with state-of-the-art technology, the Second Edition of this popular pocket atlas is a quick,... Read more

    Publisher: Lippincott Williams and Wilkins
    Publication Date: 12/02/2002
    ISBN13: 9780781736633, 978-0781736633
    ISBN10: 781736633

    Number of Pages: 144

    Non Fiction , Education

    Description

    Featuring 229 sharp, new images obtained with state-of-the-art technology, the Second Edition of this popular pocket atlas is a quick, handy guide to interpreting computed tomography body images. It shows readers how to recognize normal anatomic structures on CT scans...and distinguish these structures from artifacts.Chapters cover the neck and larynx, thorax, portal venous phase abdomen, pelvis, arterial phase abdomen, and reconstructions. Each page presents a high-resolution image, with anatomic landmarks clearly labeled. Directly above the image are a key to the labels and a thumbnail illustration that orients the reader to the location and plane of view. This format--sharp images, orienting thumbnails, and clear keys--enables readers to identify features with unprecedented speed and accuracy.

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