From individual to population: Challenges in medical visualization

C. P. Botha; B. Preim; A. E. Kaufman; S. Takahashi; A. Ynnerman

doi:10.1007/978-1-4471-6497-5_23

From individual to population: Challenges in medical visualization

C. P. Botha
, B. Preim
, A. E. Kaufman
, S. Takahashi
, A. Ynnerman

Computer Science

Vxlabs
Otto von Guericke University Magdeburg
The University of Tokyo
Linköping University

Research output: Contribution to journal › Article › peer-review

8 Scopus citations

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.

Original language	English
Pages (from-to)	265-282
Number of pages	18
Journal	Mathematics and Visualization
Volume	37
DOIs	https://doi.org/10.1007/978-1-4471-6497-5_23
State	Published - 2014

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title = "From individual to population: Challenges in medical visualization",

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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AU - Botha, C. P.

AU - Preim, B.

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AU - Takahashi, S.

AU - Ynnerman, A.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/84921645469

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DO - 10.1007/978-1-4471-6497-5_23

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VL - 37

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JO - Mathematics and Visualization

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ER -

From individual to population: Challenges in medical visualization

Abstract

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