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Description

To successfully detect and diagnose disease, it is vital for medical diagnosticians to properly apply the latest medical imaging technologies. It is a worrisome reality that due to either the nature or volume of some of the images provided, early or obscured signs of disease can go undetected or be misdiagnosed. To combat these inaccuracies, diagnosticians have come to rely on

applications that focus on medical image analysis. While there is a vast amount of information available on these procedures, a single-source guide that can comprehensively yet succinctly explain them would be an invaluable resource to have.

Medical Image Analysis Methods is that resource. It is an essential reference that details the primary methods, techniques, and approaches used to improve the quality of visually perceived images, as well as, quantitative detection and diagnostic decision aids. The book methodically presents this information by tapping into the expertise of a number of well-known contributing authors and researchers that are at the forefront of medical image analysis.

This comprehensive volume illustrates analytical techniques such as, computer-aided diagnosis (CAD), adaptive wavelet image enhancement, and data-driven optimized image segmentation and registration. Paradigms of the analysis methods used in bioinformatics and neurosciences are also provided in respective chapters. In addition, this reference reviews techniques that are used to evaluate these major medical-image processing and analysis methods.

Reviews

“… reviews an important set of methods in medical image analysis, and endeavors to convey the main ideas and motivations clearly. I would recommend the book to engineers and scientists involved in medical image analysis as a companion to other textbooks in the field.”

—Biomedical Engineering Online, 2006

Contents

Computer-Aided Diagnosis of Breast Cancer, H. Chan, B. Sahiner, N. Petrick, L. Hadjiiski, and S. Paquerault

Medical Image Processing and Analysis for CAD Systems, A. Papadopoulos, M. Plissiti, and D. Fotiadis

Texture and Morphological Analysis of Ultrasound Images of the Carotid Plaque for the Assessment of Stroke,C.Christodoulou, C. Pattichis, E. Kyriacou, M. Pattichis, M. Pantziaris,  and A. Nikolaides

Biomedical Image Classification Methods and Techniques,

V. Ruiz and S. Nasuto

Texture Characterization Using Autoregressive Models with Application to Medical Imaging, S. Lee and T. Stathaki

Locally Adaptive Wavelet Contrast Enhancement,L.Costaridou, P. Sakellaropoulos, S. Skiadopoulos, and G.  Panayiotakis

Three-Dimensional Multiscale Watershed Segmentation of MR Images, I. Pratikakis, H.Sahli, and J. Cornelis

A MRF-Based Approach for the Measurement of Skin Thickness in Mammography,A. Katartzis, H. Sahli, J. Cornelis, L. Costaridou, and G. Panayiotakis

Landmark-Based Registration of Medical Image Data,J.  Ruiz-Alzola, E. Suarez-Santana, C. Alberola-Lopez and C.  Westin

Graph-Based Analysis of Amino Acid Sequences, L. da Fontura Costa

Estimation of Human Cortical Connectivity with Multimodal Integration of fMRI and High-Resolution EEG,L. Astolfi, F. Cincotti, D. Mattia, B. He, S. Salinari, and F. Babiloni

Evaluation Strategies for Medical Image Analysis and Processing Methodologies, M. Kallergi

Name: Medical Image Analysis Methods (Hardback)CRC Press 
Description: Edited by Lena CostaridouSeries Editor: Alexander D. PoularikasContributors: Luciano da Fontoura Costa, Christos Christodoulou, Virginie F. Ruiz, Heang-Ping Chan, Maria Kallergi, Ioannis Pratikakis, Juan Ruiz-Alzola, Antonis Katartzis, Laura Astolfi, Sarah Lee, Athanassios Papadopoulos, Dimitrios I Fotiadis, Tania Stathaki, Slawomir J. Nasuto, Berkman Sahiner, Lubomir Hadjiyski, Nicholas Petrick, Spyros Skiadopoulos, George Panayiotakis, H. Sahli, Jan Cornelis, Carl-Fredrik Westin, C. S. Pattichis, Efthyvoulos Kyriacou, Marios S. Pattichis, Andrew N. Nicolaides, Carlos Alberola-Lopez, Fabio Babiloni, Febo Cincotti, Dontella Mattia, Marios Pantziaris, Sophie Paquerault, Marina Plissiti, Philipos Sakellaropoulos, Serenella Salinari, Eduardo Suarez-Santana. To successfully detect and diagnose disease, it is vital for medical diagnosticians to properly apply the latest medical imaging technologies. It is a worrisome reality that due to either the nature or volume of some of the images provided, early or...
Categories: Biomedical Engineering, Image Processing