Visualization in Medicine: Theory, Algorithms, and Applications / Edition 1

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2007 Hardcover First Edition New 0123705967. This specific hardback book is in new condition with a hard board cover that has sharp edges and corners and has a tight binding. ... The pages are clean, crisp, unmarked and uncreased. We package all books in custom cardboard book boxes for shipment and ship daily with tracking numbers.; "Visualization in Medicine is the first book on visualization and its application to problems in medical diagnosis, education, and treatment. The book describes the algorithms, the applications and their validation (how reliable are the results? ), and the clinical evaluation of the applications (are the techniques useful? ). It discusses visualization techniques from research literature as well as the compromises required to solve practical clinical problems. The book covers image acquisition, image analysis, and interaction techniques designed to explore and analyze the data. The final chapter shows how visualization is used for planning liver surgery, one of the most demanding s Read more Show Less

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Overview

Visualization in Medicine is the first book on visualization and its application to problems in medical diagnosis, education, and treatment. The book describes the algorithms, the applications and their validation (how reliable are the results?), and the clinical evaluation of the applications (are the techniques useful?). It discusses visualization techniques from research literature as well as the compromises required to solve practical clinical problems.

The book covers image acquisition, image analysis, and interaction techniques designed to explore and analyze the data. The final chapter shows how visualization is used for planning liver surgery, one of the most demanding surgical disciplines. The book is based on several years of the authors' teaching and research experience. Both authors have initiated and lead a variety of interdisciplinary projects involving computer scientists and medical doctors, primarily radiologists and surgeons.

* A core field of visualization and graphics missing a dedicated book until now
* Written by pioneers in the field and illustrated in full color
* Covers theory as well as practice

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Product Details

Meet the Author

Bernhard Preim is Professor of Visualization in the Computer Science Department of the U of Magdeburg. He has given many tutorials on medical visualization at IEEE Visualization, Eurographics, EuroVis and Computer-Assisted Radiology and Surgery. He was founder of the German "Visual Computing in Medicine" group which has held two yearly workshops since 2003. Together with Charl Botha (Delft), he initiated the Eurographics Workshop series on “Visual Computing in Biology and Medicine”. Bernhard now heads the VCBM steering committee. Currently, Bernhard and Charl serve as editors for a special issue on “Visual Computing in Biology and Medicine” in the journal "Computers and Graphics". Recently, Bernhard Preim was invited to serve as associate editor of the premium journal IEEE Transactions on Medical Imaging. Bernhard is regularly Visiting Professor at Fraunhofer MEVIS and heads the scientific advisory board of ICCAS (Innovation Center Computer Assisted Surgery). In the German Society for Computer-Assisted Surgery he has been board member since 2007 and first Vice-President since 2009.

Dirk Barz was Professor for Computer-Aided Surgery at the U of Leipzig. He was also member of the executive committee of the IEEE Visualization and Graphics Technical Committee. He received the NDI Young Investigator Award for his work on virtual endoscopy and intra-operative navigation.

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Table of Contents

Introduction; Chapter 2: Acquisition and Interpretation of Medical Volume Data; Chapter 3: Medical Volume Data in Clinical Practice; Chapter 4: Image Analysis for Medical Visualization; Chapter 5: Exploration of Time Varying Data; Chapter 6: Transfer Function Specification; Chapter 7: Clipping, Cutting and Virtual Resection; Chapter 8: Measurements in Medical Visualization; Chapter 9: Visualization of Anatomic Tree Structures; Chapter 10: Emphasis Techniques in Medical Visualization; Chapter 11: Exploration of MR Diffusion Tensor Images; Chapter 12: Image Analysis and Visualization for Liver Surgery Planning
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