Medical Image Databases

Overview

Medical Image Databases covers the new technologies of biomedical imaging databases and their applications in clinical services, education, and research. Authors were selected because they are doing cutting-edge basic or technology work in relevant areas. This was done to infuse each chapter with ideas from people actively investigating and developing medical image databases rather than simply review the existing literature. The authors have analyzed the literature and have expanded on their own research. They ...
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Paperback (Softcover reprint of the original 1st ed. 1998)
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Overview

Medical Image Databases covers the new technologies of biomedical imaging databases and their applications in clinical services, education, and research. Authors were selected because they are doing cutting-edge basic or technology work in relevant areas. This was done to infuse each chapter with ideas from people actively investigating and developing medical image databases rather than simply review the existing literature. The authors have analyzed the literature and have expanded on their own research. They have also addressed several common threads within their generic topics. These include system architecture, standards, information retrieval, data modeling, image visualizations, query languages, telematics, data mining, and decision supports.
The new ideas and results reported in this volume suggest new and better ways to develop imaging databases and possibly lead us to the next information infrastructure in biomedicine.
Medical Image Databases is suitable as a textbook for a graduate-level course on biomedical imaging or medical image databases, and as a reference for researchers and practitioners in industry.

The book contains black-and-white illustrations.

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Editorial Reviews

Matthew J. Bassignani
This is a collection of somewhat related articles with the general theme of medical image databases. The editor covers new techniques regarding biomedical imaging databases and their applications in clinical services, education, and research. Contributors were chosen because of their ongoing work in investigating and developing these databases. Those best served by this book include biomedical engineers and physicists, particularly those working in radiology departments. System administrators and radiologists heavily involved in PACS, telemedicine, and image database management would find this book interesting. The contributors include a diverse group of experts in their respective fields including radiologists, engineers, physicists, and computer science professionals. These front runners in development of medical image processing and database design were chosen by the editor for the ""cutting edge"" work they are doing in their respective fields. The editor begins with a very thorough discussion of all aspects of digital imaging. Subsequent chapters include works in the areas of medical image database design, data management, data compression and transmission, and image accessibility via the web. Although the topics are quite diverse, valuable information includes the hundreds of up-to-date references complementing each chapter. Overall, the diverse set of articles certainly stimulates further interest in the development of these databases. The poor quality of image reproduction is a definite drawback, although images are scarce to begin with, since the primary focus of this text relates to the technical aspects of imaging. Since I look at this book as a ""yearbook"" for medicalimage databases, I give it high marks for bringing together a varied collection of contributors to present interesting and innovative examples of their work in this ever growing and ever changing field.
Booknews
Covers the new technologies of biomedical imaging databases and their applications in clinical services, education, and research. The 15 contributions address such topics as system architecture, standards, information retrieval, data modeling, image visualization, query languages, telematics, data mining, and decision supports. The authors selected for inclusion are doing cutting-edge basic or technology work in the field, which serves to infuse the contributions with ideas from those investigating and developing medical imaging rather than simply reviewing the existing literature. Intended as a textbook for a graduate level course on biomedical imaging or medical imaging databases, and as a reference for researchers and practitioners. Annotation c. by Book News, Inc., Portland, Or.
Doody's Review Service
Reviewer: Matthew J. Bassignani, MD (University of Virginia Health Sciences Center)
Description: This is a collection of somewhat related articles with the general theme of medical image databases.
Purpose: The editor covers new techniques regarding biomedical imaging databases and their applications in clinical services, education, and research. Contributors were chosen because of their ongoing work in investigating and developing these databases.
Audience: Those best served by this book include biomedical engineers and physicists, particularly those working in radiology departments. System administrators and radiologists heavily involved in PACS, telemedicine, and image database management would find this book interesting. The contributors include a diverse group of experts in their respective fields including radiologists, engineers, physicists, and computer science professionals. These front runners in development of medical image processing and database design were chosen by the editor for the "cutting edge" work they are doing in their respective fields.
Features: The editor begins with a very thorough discussion of all aspects of digital imaging. Subsequent chapters include works in the areas of medical image database design, data management, data compression and transmission, and image accessibility via the web. Although the topics are quite diverse, valuable information includes the hundreds of up-to-date references complementing each chapter. Overall, the diverse set of articles certainly stimulates further interest in the development of these databases. The poor quality of image reproduction is a definite drawback, although images are scarce to begin with, since the primary focus of this text relates to the technical aspects of imaging.
Assessment: Since I look at this book as a "yearbook" for medical image databases, I give it high marks for bringing together a varied collection of contributors to present interesting and innovative examples of their work in this ever growing and ever changing field.

3 Stars from Doody
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Product Details

Table of Contents

List of Contributors. Preface. Acknowledgement. 1. Digital Image Management in Biomedicine; S.T.C. Wong. 2. Understanding and Using Dicom, the Data Interchange Standard for Biomedical Imaging; W.D. Bidgood, Jr., et al. 3. Multimodal Brain Atlases; A.W. Toga, P. Thompson. 4. The Use of Anatomical Knowledge in Medical Imaging: An Overview of the University of Washington Structural Informatics Group; J.F. Brinkley. 5. A Graphical Database for 3D Reconstruction Supporting (4) Different Geometrical Representations; F.J. Verbeek, D.P. Huijsmans. 6. Ontologies and Models for the Handling of Medical Images: Application to Image Databases; F. Aubry, et al. 7. Advances in Image Database Languages; J.D.N. Dionisio, A.F. Cárdenas. 8. Indexing Large Collections of Tumor-Like Shapes; F. Korn, et al. 9. An Active Medical Information System Using Active Index and Artificial Neural Network; S.-K. Chang, et al. 10. Telematics in Healthcare; S.C. Orphanoudakis, et al. 11. Mission-DBS: A Distributed Multimedia Database System for High-Performance Telemedicine; H.-M. Chen, D.Y.Y. Yun. 12. Wavelet-Based Progressive Transmission and Security Filtering for Medical Image Distribution; J.Z. Wang, et al. 13. Web Access to National Health Survey Text/Image Databases; L.R. Long, G.R. Thomas. 14. Model-Based Mining of Remotely Sensed Data for Environmental and Public Health Applications; S.-C. Li, et al. 15. A Decision Support System Based on Congenital Malformation Image Databases; S. Tsumoto. Index.
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