Image Processing Reference
In-Depth Information
Chapter 23
From Individual to Population: Challenges
in Medical Visualization
C.P. Botha, B. Preim, A.E. Kaufman, S. Takahashi and A. Ynnerman
Abstract Due to continuing advances in medical imaging technology, and in medi-
cine 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 devel-
opments in medical visualization, after which we discuss the research challenges
that we foresee for the coming decade.
23.1 Introduction
Since the advent of magnetic resonance imaging (MRI) and computed tomography
(CT) scanners around the early seventies, and the consequent ubiquitousness of med-
ical volume data, medical visualization has undergone significant development and
is now a primary branch of Visualization. It finds application in diagnosis, for exam-
ple virtual colonoscopy, in treatment, for example surgical planning and guidance,
and in medical research, for example visualization of diffusion tensor imaging data.
Although the field of medical visualization only established itself with this name in
the late eighties [ 57 ], we shall see in the next section that already in the seventies
C.P. Botha ( B )
vxlabs, Somerset West, SA
e-mail: cpbotha@vxlabs.com
B. Preim
Department of Simulation and Graphics, University of Magdeburg, Magdeburg, Germany
e-mail: preim@isg.cs.uni-magdeburg.de
A.E. Kaufman
Department of Computer Science, Stony Brook University, New York, USA
e-mail: ari@cs.stonybrook.edu
S. Takahashi
Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
e-mail: takahashi@acm.org
A. Ynnerman
Norrköping Visualization and Interaction Studio, Linköping University, Linköping, Sweden
e-mail: anders.ynnerman@itn.liu.se
 
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