Computational Radiology and Imaging - Therapy and Diagnostics (Paperback, Softcover reprint of the original 1st ed. 1999)

The articles collected in this volume are based on lectures given at the IMA Workshop, "Computational Radiology and Imaging: Therapy and Diagnostics", March 17-21, 1997. Introductory articles by the editors have been added. The focus is on inverse problems involving electromagnetic radiation and particle beams, with applications to X-ray tomography, nuclear medicine, near-infrared imaging, microwave imaging, electron microscopy, and radiation therapy planning. Mathematical and computational tools and models which play important roles in this volume include the X-ray transform and other integral transforms, the linear Boltzmann equation and, for near-infrared imaging, its diffusion approximation, iterative methods for large linear and non-linear least-squares problems, iterative methods for linear feasibility problems, and optimization methods. The volume is intended not only for mathematical scientists and engineers working on these and related problems, but also for non-specialists. It contains much introductory expository material, and a large number of references. Many unsolved computational and mathematical problems of substantial practical importance are pointed out.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	The IMA Volumes in Mathematics and its Applications, 110
Release date:	October 2012
First published:	1999
Editors:	Christoph Boergers • Frank Natterer
Dimensions:	235 x 155 x 16mm (L x W x T)
Format:	Paperback
Pages:	288
Edition:	Softcover reprint of the original 1st ed. 1999
ISBN-13:	978-1-4612-7189-5
Categories:	Books > Medicine > Clinical & internal medicine > Medical diagnosis > General Books > Medicine > Other branches of medicine > Medical imaging > Radiology Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Vector & tensor analysis Books > Science & Mathematics > Mathematics > Applied mathematics > General
LSN:	1-4612-7189-4
Barcode:	9781461271895

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