Statistics of Medical Imaging

Author:   Tianhu Lei
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138114746


Pages:   438
Publication Date:   14 June 2017
Format:   Paperback
Availability:   In Print   Availability explained
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Statistics of Medical Imaging


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Full Product Details

Author:   Tianhu Lei
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.453kg
ISBN:  

9781138114746


ISBN 10:   113811474
Pages:   438
Publication Date:   14 June 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Introduction. X-Ray CT Physics and Mathematics. MRI Physics and Mathematics. Non-Diffraction Computed Tomography. Statistics of X-Ray CT Imaging. Statistics of X-Ray CT Image. Statistics of MR Imaging. Statistics of MR Image. Stochastic Image Models. Statistical Image Analysis – I. Statistical Image Analysis – II. Performance Evaluation of Image Analysis Methods.

Reviews

Statistics of Medical Imaging is an in-depth and mathematical account of the statistics associated with medical imaging technologies, particularly x-ray CT and MR imaging. The text is logically structured into a review of mathematics and imaging principles, and then it transitions to describing the statistics of CT and MR imaging and images and image analysis models. ... the text is successful at developing a structured argument for the statistical properties with supporting background physics, mathematical proofs, and integrated statistical models for both x-ray CT and MRI. -Camille Palmer, Health Physics-The Radiation Protection Journal, March 2013 ... a welcome addition to the important interface of statistics and medical imaging. ... The book fills a relatively long-standing gap in engineering literature, which is useful in understanding the statistical properties of medical images. This hopefully leads to a better understanding and interpretation, both qualitative and quantitative, of the resulting images that are useful to medical practitioners. In addition, this is expected to point to the design of better imaging systems by a closer scrutiny of the flaws in the existing systems. ... it can be used both as a textbook for students in medical physics and biomedical engineering as well as a research reference for Ph.D. students engaged in designing imaging systems. -Technometrics, February 2013 This is a good reference for graduate students and researchers in signal processing and electrical and systems engineering. ... The author has demonstrated a mastery and thorough knowledge of this subject and has done a superb job of describing CT and MR image and imaging statistics systematically. The book is unique in the targeted signal processing literature, rationally illustrating the steps of analyzing CT and MR images statistically and providing an evaluation tool. The equation derivations are written in a rigorous way so that researchers and students in signal processing can understand the basic principles. With some background knowledge, researchers can also perform statistical analysis and evaluate the statistics on CT and MR images and imaging processes. -Teh Lin, Doody's Review Service, 2013 ... a well-organized and well-thought out physics-based textbook ... Dr. Lei has done a fine job in emphasizing the statistical aspects of medical imaging, specifically analysis and synthesis methods. ... this book would be very well received by [the] intended target audience. I recommend that interested members of the author's target population obtain a copy of Statistics of Medical Imaging. -Robert D. Stoffey, American Journal of Roentgenology, November 2012


Author Information

Tianhu Lei is an associate professor at the University of Pittsburgh. He has previously worked at the University of Maryland, the University of Pennsylvania, and the Children’s Hospital of Philadelphia. He earned a Ph.D. in electric and system engineering from the University of Pennsylvania.

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