Overview

Intelligent processing of multi--dimensional images has become crucial in conventional or computer--aided interpretation for radiological and diagnostic applications. This focused text provides the in--depth knowledge of the modalities used to acquire images for medical image reconstruction and processing and enables medical professionals to effectively select and develop the most appropriate image reconstruction and processing methods for accurate analysis and interpretation. This thorough introduction to the acquisition of images and the intelligent interpretation and analysis of biomedical images discusses such essentials as: * The interaction of the basic unit of imaging (such as protongs in MRI, or, x--ray photons in X--ray CT) in a biological environment * Formation of a quantifiable signal representing the biological information * etection and acquisition of the signal * Appropriate image reconstruction Featuring skill--building MATLAB exercises and end--of--chapter references, this text delivers an essential, top--to--bottom examination of medical imaging and helps you master the complexities of today's radiological and diagnostic applications. To view the MATLAB exercises, visit: ftp://ftp.wiley.com/public/sci tech med/medical image/

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9780471451310

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This introductory text should be useful for senior undergraduate or graduate students in a medical image analysis course. (Optical & Photonics News, April 2006) ...an excellent introductory text... I would strongly recommend the text...a welcomed addition to the personal libraries of students within these professional disciplines. (Health Physics, Vol. 86, No. 4, March 2004)

Author Information

Atam P. Dhawan, PhD, completed his doctorate in electrical engineering as a Canadian Commonwealth Fellow at the University of Manitoba in 1985. Dr. Dhawan is a former chair of the Emerging Technology Committee of the Engineering in Medicine and Biology Society of the IEEE and was a professor of bioengineering at the University of Toledo and director of Medical Imaging and Informatics Laboratory. Currently, he is a Professor of Electrical and Computer Engineering with a joint appointment in the Department of Biomedical Engineering at the New Jersey Institute of Technology.

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