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Author, Editor(s)

Author(s):

Schultz, Thomas
Theisel, Holger
Seidel, Hans-Peter

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dblp
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Not MPG Author(s):

Theisel, Holger

BibTeX cite key*:

Schultz2007Vis

Title

Title*:

Topological Visualization of Brain Diffusion MRI Data

Journal

Journal Title*:

IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE Visualization)

Journal's URL:

http://www.computer.org/portal/site/transactions/menuitem.a66ec5ba52117764cfe79d108bcd45f3/index.jsp?&pName=tvcg_home/&

Download URL
for the article:

http://dx.doi.org/10.1109/TVCG.2007.70602

Language:

English

Publisher

Publisher's
Name:

IEEE Computer Society

Publisher's URL:

http://www.computer.org/portal/site/ieeecs/index.jsp

Publisher's
Address:

Los Alamitos, CA, USA

ISSN:

1077-2626

Vol, No, pp, Date

Volume*:

13

Number:

6

Publishing Date:

November 2007

Pages*:

1496-1503

Number of
VG Pages:

25

Page Start:


Page End:


Sequence Number:


DOI:

10.1109/TVCG.2007.70602

Note, Abstract, ©

Note:


(LaTeX) Abstract:

Topological methods give concise and expressive visual
representations of flow fields. The present work suggests a
comparable method for the visualization of human brain diffusion MRI
data. We explore existing techniques for the topological analysis of
generic tensor fields, but find them inappropriate for diffusion MRI
data. Thus, we propose a novel approach that considers the
asymptotic behavior of a probabilistic fiber tracking method and
define analogs of the basic concepts of flow topology, like critical
points, basins, and faces, with interpretations in terms of brain
anatomy. The resulting features are fuzzy, reflecting the
uncertainty inherent in any connectivity estimate from diffusion
imaging. We describe an algorithm to extract the new type of
features, demonstrate its robustness under noise, and present
results for two regions in a diffusion MRI dataset to illustrate
that the method allows a meaningful visual analysis of probabilistic
fiber tracking results.

URL for the Abstract:

http://csdl2.computer.org/persagen/DLAbsToc.jsp?resourcePath=/dl/trans/tg/&toc=comp/trans/tg/2007/06/v6toc.xml&DOI=10.1109/TVCG.2007.70602

Categories,
Keywords:


HyperLinks / References / URLs:


Copyright Message:


Personal Comments:


Download
Access Level:

Intranet

Correlation

MPG Unit:

Max-Planck-Institut für Informatik



MPG Subunit:

Computer Graphics Group

Audience:

popular

Appearance:

MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort


BibTeX Entry:

@ARTICLE{Schultz2007Vis,
AUTHOR = {Schultz, Thomas and Theisel, Holger and Seidel, Hans-Peter},
TITLE = {Topological Visualization of Brain Diffusion {MRI} Data},
JOURNAL = {IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE Visualization)},
PUBLISHER = {IEEE Computer Society},
YEAR = {2007},
NUMBER = {6},
VOLUME = {13},
PAGES = {1496--1503},
ADDRESS = {Los Alamitos, CA, USA},
MONTH = {November},
ISBN = {1077-2626},
DOI = {10.1109/TVCG.2007.70602},
}


Entry last modified by Thomas Schultz, 02/05/2009
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Editor(s)
Thomas Schultz
Created
12/11/2007 03:43:57 PM
Revisions
3.
2.
1.
0.
Editor(s)
Thomas Schultz
Uwe Brahm
Anja Becker
Thomas Schultz
Edit Dates
02/05/2009 01:49:27 PM
02/28/2008 04:25:02 PM
15.02.2008 08:46:35
12/11/2007 03:43:59 PM