The Mathematics of Medical Imaging: A Beginnerâ s Guide (Springer Undergraduate Texts in Mathematics and Technology)

Feeman, Timothy G.

ISBN 10: 0387927115 / ISBN 13: 9780387927114

Published by Springer, 2009

About this Item

Fast Free Shipping â Good condition book with a firm cover and clean, readable pages. Shows normal use, including some light wear or limited notes highlighting, yet remains a dependable copy overall. Supplemental items like CDs or access codes may not be included.

Seller Inventory # GWV.0387927115.G

Bibliographic Details

• Title: The Mathematics of Medical Imaging: A Beginnerâ s Guide (Springer Undergraduate Texts in Mathematics and Technology)
• Publisher: Springer
• Publication Date: 2009
• Language: English
• ISBN 10: 0387927115
• ISBN 13: 9780387927114
• Binding: Hardcover
• Condition: good

About this title

Synopsis

This text explores medical imaging, one of the most significant areas of recent mathematical applications, in a concise manner accessible to undergraduate students. The author emphasizes the mathematical aspects of medical imaging, including not only the theoretical background, but also the role of approximation methods and the computer implementation of the inversion algorithms.

In twenty-first century health care, CAT scans, ultrasounds, and MRIs are commonplace. Significant computational advances, along with the development, design, and improvement of the machines themselves, can only occur in conjunction with a proper understanding of the mathematics. This book is inherently interdisciplinary in nature, and therefore is appropriate for students of engineering, physics, and computer science, in addition to mathematics.

About the Author

Dr. Timothy G. Feeman, veteran mathematics professor at Villanova University, has been published in all of the leading mathematics journals and has received an award for expository writing from the Mathematical Association of America. In 2002, the American Mathematical Society published his first book, Portraits of the Earth: A Mathematician Looks at Maps.