Medical image reconstruction : a conceptual tutorial /

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Bibliographic Details
Author / Creator:Zeng, Gengsheng Lawrence.
Imprint:Beijing : Higher Education Press ; Heidelberg ; New York : Springer, c2010.
Description:1 online resource (xiii, 198 p.) : ill.
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8895762
Hidden Bibliographic Details
ISBN:9783642053689 (electronic bk.)
3642053688 (electronic bk.)
Notes:Includes bibliographical references and index.
Summary:& Quot;Medical Image Reconstruction: A Conceptual Tutorial" introduces the classical and modern image reconstruction technologies, such as two-dimensional (2D) parallel-beam and fan-beam imaging, three-dimensional (3D) parallel ray, parallel plane, and cone-beam imaging. This book presents both analytical and iterative methods of these technologies and their applications in X-ray CT (computed tomography), SPECT (single photon emission computed tomography), PET (positron emission tomography), and MRI (magnetic resonance imaging). Contemporary research results in exact region-of-interest (RO.
Other form:Print version: Zeng, Gengsheng Lawrence. Medical image reconstruction. Beijing : Higher Education Press ; Heidelberg ; New York : Springer, c2010 9783642053672
Publisher's no.:12733422
Description
Summary:

"Medical Image Reconstruction: A Conceptual Tutorial" introduces the classical and modern image reconstruction technologies, such as two-dimensional (2D) parallel-beam and fan-beam imaging, three-dimensional (3D) parallel ray, parallel plane, and cone-beam imaging. This book presents both analytical and iterative methods of these technologies and their applications in X-ray CT (computed tomography), SPECT (single photon emission computed tomography), PET (positron emission tomography), and MRI (magnetic resonance imaging). Contemporary research results in exact region-of-interest (ROI) reconstruction with truncated projections, Katsevich's cone-beam filtered backprojection algorithm, and reconstruction with highly undersampled data with l0-minimization are also included.

This book is written for engineers and researchers in the field of biomedical engineering specializing in medical imaging and image processing with image reconstruction.

Gengsheng Lawrence Zeng is an expert in the development of medical image reconstruction algorithms and is a professor at the Department of Radiology, University of Utah, Salt Lake City, Utah, USA.

Physical Description:1 online resource (xiii, 198 p.) : ill.
Bibliography:Includes bibliographical references and index.
ISBN:9783642053689
3642053688