Methods in Diagnosis Optimization

A 5-Volume Set


Cornelius T Leondes

University of California, Los Angeles, USA

Yj^ World Scientific


Published by

World Scientific Publishing Co. Pte. Ltd. 5 Toh Tuck Link, Singapore 596224

USA office: 27 Warren Street, Suite 401-402, Hackensack, NJ 07601 UK office: 57 Shelton Street, Covent Garden, London WC2H 9HE

British Library Cataloguing-in-Publication Data

A catalogue record for this book is available from the British Library.


Methods in Diagnosis Optimization

Copyright © 2005 by World Scientific Publishing Co. Pte. Ltd.

All rights reserved. This book, or parts thereof, may not be reproduced in any form or by any means, electronic or mechanical, including photocopying, recording or any information storage and retrieval system now known or to be invented, without written permission from the Publisher.

For photocopying of material in this volume, please pay a copying fee through the Copyright Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, USA. In this case permission to photocopy is not required from the publisher.

ISBN 981-256-364-4 (Set) ISBN 981-256-990-1

Typeset by Stallion Press

Email: [email protected]

Printed in Singapore.


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.


Preface v

Chapter 1

Robust Techniques for Enhancement of Micro calcifications in Digital Mammography 1

Peter Heinlein

Chapter 2

Techniques in the Detection of Microcalcification Clusters in Digital Mammograms 45

Issam El Naqa and Yongyi Yang

Chapter 3

Fuzzy Region Growing and Fusion Methods for the

Segmentation of Masses in Mammograms 67

Denise Guliato and Rangaraj M. Rangayyan

Chapter 4

ROC Methodology and its Application in Breast

Cancer Diagnosis 111

Smadar Gefen, Oleh Tretiak and David Gefen

Chapter 5

Parametric Shape Reconstruction in Inverse Problems: Fundamental Performance Bounds and Algorithms 135

Jong Chul Ye

Chapter 6

Wavelet Techniques in Region-Based Digital Data Compression and their Application in Digital Mammography 161

Monica Penedo and William A. Pearlman

Chapter 7

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

Chapter 8

Functional MRI Activity Characterization: An Estimation and Decision Theoretic Approach 251

Mukund Desai, Rami Mangoubi and Homer Pien

Chapter 9

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

Chapter 10

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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