Methods in Diagnosis Optimization
A 5-Volume Set
Cornelius T Leondes
University of California, Los Angeles, USA
Yj^ World Scientific
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MEDICAL IMAGING SYSTEMS TECHNOLOGY A 5-Volume Set
Methods in Diagnosis Optimization
Copyright © 2005 by World Scientific Publishing Co. Pte. Ltd.
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ISBN 981-256-364-4 (Set) ISBN 981-256-990-1
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Because of the availability of powerful computational techniques, new modality techniques such as Computer-Aided Tomography (CAT), Magnetic Resonance Imaging (MRI) and others, and because of the new techniques of imaging processing (machine vision), the lives of many patients will be saved, and the quality of all our lives improved. This marriage of powerful computer technology and medical imaging has spawned a new and growing generation of young dynamic doctors who hold PhDs in physics and/or computer science, along with their MDs. In addition, technologists and computer scientists, with their superb skills, are also deeply involved in this area of major significance.
This volume covers the subject of medical imaging systems — methods in diagnosis optimization, by leading contributors on the international scene. This is one of the 5 volumes on medical imaging systems technology, and together they collectively constitute an MRW (Major Reference Work). An MRW is a comprehensive treatment of a subject requiring multiple authors and a number of distinctly-titled and well-integrated volumes. Each volume treats a specific subject area of fundamental importance in medical imaging. The titles of the respective 5 volumes which compose this MRW are:
• Medical Imaging Systems — Analysis & Computational Methods
• Medical Imaging Systems — Modalities
• Medical Imaging Systems — Methods in General Anatomy
• Medical Imaging Systems — Methods in Diagnosis Optimization
• Medical Imaging Systems — Methods in Cardiovascular & Brain Systems
Each volume is self-contained and stands alone for those interested in a specific volume. However, collectively this 5-volume set evidently constitutes the first multivolume comprehensive reference dedicated to the multi-discipline area of medical imaging.
There are over 130 coauthors of this notable work and they come from 25 countries. The chapters are clearly written, self-contained, readable and comprehensive with helpful guides including introduction, summary, extensive figures and examples with in-depth reference lists. Perhaps the most valuable feature of this work is the breadth and depth of the topics covered.
This volume on "Medical Imaging Systems — Methods in Diagnosis Optimization" includes essential subjects like:
(a) Robust techniques for enhancement of micro-calcifications in digital mammogr aphy
(b) Techniques in the detection of micro-calcification clusters in digital mammograms
(c) Fuzzy region growing and fusion methods for the segmentation of masses in mammograms
(d) ROC methodology and its application in breast cancer diagnosis
(e) Parametric shape reconstruction in inverse problems: Fundamental performance bounds and algorithms
(f) Wavelet techniques in region-based digital data compression and their application in digital mammography
(g) Techniques in segmenting images with anisotropic spatial resolution and for tracking temporal image
(h) Functional MRI activity characterization: An estimation and decision theoretic approach
(i) Techniques for detection of spectral signatures in MR images and their applications
The contributors of this volume clearly reveal the effectiveness of the techniques available and the essential role that they will play in the future. I hope that practitioners, research workers, computer scientists, and students will find this set of volumes to be a unique and significant reference source for years to come.
Robust Techniques for Enhancement of Micro calcifications in Digital Mammography 1
Techniques in the Detection of Microcalcification Clusters in Digital Mammograms 45
Issam El Naqa and Yongyi Yang
Fuzzy Region Growing and Fusion Methods for the
Segmentation of Masses in Mammograms 67
Denise Guliato and Rangaraj M. Rangayyan
ROC Methodology and its Application in Breast
Cancer Diagnosis 111
Smadar Gefen, Oleh Tretiak and David Gefen
Parametric Shape Reconstruction in Inverse Problems: Fundamental Performance Bounds and Algorithms 135
Jong Chul Ye
Wavelet Techniques in Region-Based Digital Data Compression and their Application in Digital Mammography 161
Monica Penedo and William A. Pearlman
Techniques in Segmenting 3D Images with Anisotropic Spatial
Resolution and for Tracking Temporal Image Sequences and their Application 195
Xose M. Pardo and David L. Vilarino
Functional MRI Activity Characterization: An Estimation and Decision Theoretic Approach 251
Mukund Desai, Rami Mangoubi and Homer Pien
Techniques for Detection of Spectral Signatures in MR Images and their Applications 297
Clayton Chi-Chang Chen, Chuin-Mu Wang, Chein-I Chang, Ching-Wen Yang, Jyh Wen Chai, Yi-Nung Chung and Pau-Choo Chung
Studying Anatomy and Disease in Medical Images Using
Shape Analysis 329
Daniel Goldberg-Zimring, Dominik S. Meier, Sylvain Bouix and Simon K. Warfield
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