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Proceedings Paper

Evaluating a visualization of uncertainty in probabilistic tractography
Author(s): Anette von Kapri; Tobias Rick; Svenja Caspers; Simon B. Eickhoff; Karl Zilles; Torsten Kuhlen
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Paper Abstract

In this paper we evaluate a visualization approach for representing uncertainty information in probabilistic fiber pathways in the human brain. We employ a semi-transparent volume rendering method where probabilities of fiber tracts are conveyed by colors and opacities (cf. Figure 1). Anatomic orientation is provided by placing anatomic landmarks in form of cortial or functional defined brain areas. In order to quantify the effectiveness of our approach we have conducted a formal user study concerning preferred anatomic context information and coloring of fiber tracts.

Paper Details

Date Published: 24 February 2010
PDF: 12 pages
Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 762534 (24 February 2010); doi: 10.1117/12.843808
Show Author Affiliations
Anette von Kapri, RWTH Aachen Univ. (Germany)
JARA-SIM, Jülich-Aachen Research Alliance (Germany)
Tobias Rick, RWTH Aachen Univ. (Germany)
JARA-SIM, Jülich-Aachen Research Alliance (Germany)
Svenja Caspers, Institute of Neuroscience and Medicine (Germany)
JARA-BRAIN, Jülich-Aachen Research Alliance (Germany)
Simon B. Eickhoff, Institute of Neuroscience and Medicine (Germany)
JARA-BRAIN, Jülich-Aachen Research Alliance (Germany)
RWTH Aachen Univ. (Germany)
Karl Zilles, Institute of Neuroscience and Medicine (Germany)
JARA-BRAIN, Jülich-Aachen Research Alliance (Germany)
Heinrich-Heine-Univ. (Germany)
Torsten Kuhlen, RWTH Aachen Univ. (Germany)
JARA-SIM, Jülich-Aachen Research Alliance (Germany)


Published in SPIE Proceedings Vol. 7625:
Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling
Kenneth H. Wong; Michael I. Miga, Editor(s)

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