Visualization in Medicine and Life Sciences II Progress and New Chal
For some time, medicine has been an important driver for the development of data processing and visualization techniques. Improved technology offers the capacity to generate larger and more complex data sets related to imaging and simulation. This, in tur
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Series Editors Gerald Farin Hans-Christian Hege David Hoffman Christopher R. Johnson Konrad Polthier Martin Rumpf
For further volumes: http://www.springer.com/series/4562
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Lars Linsen Hans Hagen Bernd Hamann Hans-Christian Hege Editors
Visualization in Medicine and Life Sciences II Progress and New Challenges With 132 Figures, 116 in color
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Editors Lars Linsen Jacobs University, Bremen School of Engineering and Science Postfach 75 05 61 28725 Bremen Germany [email protected] Hans Hagen Universit¨at Kaiserslautern FB Informatik Postfach 30 49 67653 Kaiserslautern Germany [email protected]
Bernd Hamann Institute for Data Analysis and Visualization Department of Computer Science University of California, Davis One Shields Avenue Davis, CA 95616-8562 U.S.A. [email protected] Hans-Christian Hege Zuse Institute Berlin (ZIB) Visualization and Data Analysis Takustr. 7 14195 Berlin Germany [email protected]
ISBN 978-3-642-21607-7 e-ISBN 978-3-642-21608-4 DOI 10.1007/978-3-642-21608-4 Springer Heidelberg Dordrecht London New York Library of Congress Control Number: 2007935102 c Springer-Verlag Berlin Heidelberg 2012, Corrected printing 2012 This work is subject to copyright. All rights are reserved, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilm or in any other way, and storage in data banks. Duplication of this publication or parts thereof is permitted only under the provisions of the German Copyright Law of September 9, 1965, in its current version, and permission for use must always be obtained from Springer. Violations are liable to prosecution under the German Copyright Law. The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
Preface
Medicine has for a long time been a major driver for the development of data processing and visualization techniques. Many exciting and challenging visualization problems are continually arising in medicine as a consequence of our ability to generate increasingly large and complicated data (image data, simulated data) that require us to devise effective tools for meaningful interpretation and utilization in medical practice. The first VMLS workshop, which led to the book entitled “Visualization in Medicine and Life Sciences (VMLS),” was driven by the fact that emerging technologies in the life sciences had produced significant data visualization challenges. One interesting question was: Can medical data visualization approaches be devised and/or improved to meet these challenges with the promise of ultimately being adopted by medical experts. Life sciences are understood by us in a broad sense, including animal
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