The Mathematics of Medical Imaging Charles L. Epstein November 6, 2001 ii Charles L. Epstein Department of Mathematics University of Pennsylvania Philadelphia, PA 19104 ******@
c Charles L. Epstein, 2001. All rights reserved. iii This book is dedicated to my wife, Jane and our children, Leo and Sylvia. They make it all worthwhile. iv Preface Over the past several decades advanced mathematics has quietly insinuated itself into many facets of our day to day life. Mathematics is at the heart of technologies from cellular tele- phones and satellite positioning systems to online banking and metal detectors. Arguably no technology has had a more positive and profound effect on our lives than advances in medical imaging and in no technology is the role of mathematics more pronounced. X-ray tomography, ultrasound, positron emission tomography and ic resonance imaging have fundamentally altered the practice of medicine. At the core of each modality is a mathematical model to interpret the measurements and a numerical algorithm to recon- struct an image. While each modality operates on a different physical principle and probes a different aspect of our anatomy or physiology, there is a large overlap in the mathematics used to model the measurements, design reconstruction algorithms and analyze the effects of noise. In this text we provide a tool kit, with detailed operating instructions, to work on the sorts of mathematical problems which arise in medical imaging. Our treatment steers a course midway between plete, rigorous, abstract mathematical discussion and a cookbook engineering approach. The target audience for this book is junior or senior math undergraduates with a firm command of calculus and linear algebra. The book is written in the language of mathemat- ics, which, as I have learned is quite distinct from the language of physics or the language of engineering. heless, the discussion of every topic begins at an el
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