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From Individual to Population: Challenges in Medical Visualization

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Scientific Visualization

Part of the book series: Mathematics and Visualization ((MATHVISUAL))

Abstract

Due to continuing advances in medical imaging technology, and in medicine itself, techniques for visualizing medical image data have become increasingly important. In this chapter, we present a brief overview of the past 30 years of developments in medical visualization, after which we discuss the research challenges that we foresee for the coming decade.

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Notes

  1. 1.

    http://www.brainlab.com/art/2841/4/surgical-pacs-access/

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Authors and Affiliations

  1. vxlabs, Somerset West, SA

    C. P. Botha

  2. Department of Simulation and Graphics, University of Magdeburg, Magdeburg, Germany

    B. Preim

  3. Department of Computer Science, Stony Brook University, New York, USA

    A. E. Kaufman

  4. Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan

    S. Takahashi

  5. Norrköping Visualization and Interaction Studio, Linköping University, Linköping, Sweden

    A. Ynnerman

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  3. A. E. Kaufman
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  4. S. Takahashi
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  5. A. Ynnerman
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Correspondence to C. P. Botha .

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  1. School of Computing Scientific Computing and Imaging Institu, University of Utah, Salt Lake City, Utah, USA

    Charles D. Hansen

  2. e-Research Centre, University of Oxford, Oxford, United Kingdom

    Min Chen

  3. School of Computing Scientific Computing and Imaging Institu, University of Utah, Salt Lake City, Utah, USA

    Christopher R. Johnson

  4. Department of Computer Science, Stony Brook University, New York, New York, USA

    Arie E. Kaufman

  5. Fachbereich Informatik, Technische Universität Kaiserslautern, Kaiserslautern, Germany

    Hans Hagen

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Botha, C.P., Preim, B., Kaufman, A.E., Takahashi, S., Ynnerman, A. (2014). From Individual to Population: Challenges in Medical Visualization. In: Hansen, C., Chen, M., Johnson, C., Kaufman, A., Hagen, H. (eds) Scientific Visualization. Mathematics and Visualization. Springer, London. https://doi.org/10.1007/978-1-4471-6497-5_23

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