Mathematics of medical imaging: a beginner's guide

By:

Feeman, Timothy G

Series: Springer Undergraduate Texts in Mathematics and TechnologyPublication details: Springer International, 2015. Switzerland:Edition: 2ndDescription: xiv, 197p. ; pb. ; 25cmISBN:

9783319331072

Subject(s):

DDC classification:

515.7 FEE

Summary: A Beginner's Guide to the Mathematics of Medical Imaging presents the basic mathematics of computerized tomography - the CT scan - for an audience of undergraduates in mathematics and engineering. Assuming no prior background in advanced mathematical analysis, topics such as the Fourier transform, sampling, and discrete approximation algorithms are introduced from scratch and are developed within the context of medical imaging. A chapter on magnetic resonance imaging focuses on manipulation of the Bloch equation, the system of differential equations that is the foundation of this important technology. The text is self-contained with a range of practical exercises, topics for further study, and an ample bibliography, making it ideal for use in an undergraduate course in applied or engineering mathematics, or by practitioners in radiology who want to know more about the mathematical foundations of their field

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Books	IIT Gandhinagar General Stacks	General	515.7 FEE (Browse shelf(Opens below))	1	Available		030734

Includes bibliography and index

A Beginner's Guide to the Mathematics of Medical Imaging presents the basic mathematics of computerized tomography - the CT scan - for an audience of undergraduates in mathematics and engineering. Assuming no prior background in advanced mathematical analysis, topics such as the Fourier transform, sampling, and discrete approximation algorithms are introduced from scratch and are developed within the context of medical imaging. A chapter on magnetic resonance imaging focuses on manipulation of the Bloch equation, the system of differential equations that is the foundation of this important technology. The text is self-contained with a range of practical exercises, topics for further study, and an ample bibliography, making it ideal for use in an undergraduate course in applied or engineering mathematics, or by practitioners in radiology who want to know more about the mathematical foundations of their field

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