Medical Imaging Physics Review

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(More customer reviews)This text is excellent for Medical Physicists preparing for the first part of their ABR or ABMP exam. This book is also a very good text for teaching Radiology Residents. Radiology Residents currently (4/12/03), do not use calculators for their ABR exam therefore they do not need to know most of the calculations that are presented in this text. The chapter on Radiation Detectors is an excellent primer for medical physicists, health physicists and Biomedical engineers. My only criticism of the text is that the QA recommendations are not current and the MRI section does not address image quality enough detail.

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Medical Imaging Signals and Systems Review

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(More customer reviews)A very pedagogic book that covers the principles of medical imaging from a linear systems point of view. It is divided in 5 parts, being the first one devoted to the basics of imaging systems and the rest deal with modalities well established in the medical community. So only the chapters of the first part are essential to read before going to any other sections, which are mostly self-contained.
One section I would add to make it more complete would be some chapters on optical imaging, of which some techniques are finding a niche in clinical applications.
I found there is room for improvement in the book layout; the outer margins are simply too wide and some long equations go too close to the spine. The clarity of diagrams and photographs is good, but I would have appreciated some color inserts in a book of this price.

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For courses in medical imaging systems. With signal processing as its foundation, this text covers the most important imaging modalities in radiology: projection radiography, x-ray computed tomography, nuclear medicine, ultrasound imaging, and magnetic resonance imaging. Organized into parts to emphasize key overall conceptual divisions, Medical Imaging is most appropriate for engineering students who have taken the prerequisite signals and systems courses as well as elementary probability.

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