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Author, Editor(s)

Author(s):

Schultz, Thomas
Seidel, Hans-Peter

dblp
dblp



BibTeX cite key*:

Schultz2008Vis

Title

Title*:

Estimating Crossing Fibers: A Tensor Decomposition Approach

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://csdl.computer.org/dl/trans/tg/2008/06/ttg2008061635.pdf

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, USA

ISSN:

1077-2626

Vol, No, pp, Date

Volume*:

14

Number:

6

Publishing Date:

2008

Pages*:

1635-1642

Number of
VG Pages:

25

Page Start:

1635

Page End:

1642

Sequence Number:


DOI:

10.1109/TVCG.2008.128

Note, Abstract, ©

Note:


(LaTeX) Abstract:

Diffusion weighted magnetic resonance imaging is a unique
tool for non-invasive investigation of major nerve fiber tracts.
Since the popular diffusion tensor (DT-MRI) model is limited to
voxels with a single fiber direction, a number of high angular
resolution techniques have been proposed to provide information
about more diverse fiber distributions. Two such approaches are
Q-Ball imaging and spherical deconvolution, which produce
orientation distribution functions (ODFs) on the sphere. For
analysis and visualization, the maxima of these functions have been
used as principal directions, even though the results are known to
be biased in case of crossing fiber tracts. In this paper, we
present a more reliable technique for extracting discrete
orientations from continuous ODFs, which is based on decomposing
their higher-order tensor representation into an isotropic
component, several rank-1 terms, and a small residual. Comparing to
ground truth in synthetic data shows that the novel method reduces
bias and reliably reconstructs crossing fibers which are not
resolved as individual maxima in the ODF. We present results on both
Q-Ball and spherical deconvolution data and demonstrate that the
estimated directions allow for plausible fiber tracking in a real
data set.

URL for the Abstract:

http://www2.computer.org/portal/web/csdl/doi/10.1109/TVCG.2008.128

Categories,
Keywords:

DW-MRI, Q-Ball, spherical deconvolution, fiber tracking, higher-order tensor, tensor decomposition

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:

experts only

Appearance:

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


BibTeX Entry:

@ARTICLE{Schultz2008Vis,
AUTHOR = {Schultz, Thomas and Seidel, Hans-Peter},
TITLE = {Estimating Crossing Fibers: A Tensor Decomposition Approach},
JOURNAL = {IEEE Transactions on Visualization and Computer Graphics (Proc. IEEE Visualization)},
PUBLISHER = {IEEE Computer Society},
YEAR = {2008},
NUMBER = {6},
VOLUME = {14},
PAGES = {1635--1642},
ADDRESS = {Los Alamitos, USA},
ISBN = {1077-2626},
DOI = {10.1109/TVCG.2008.128},
}


Entry last modified by Thomas Schultz, 03/03/2009
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Editor(s)
Thomas Schultz
Created
01/15/2009 04:28:45 PM
Revisions
3.
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Editor(s)
Thomas Schultz
Thomas Schultz
Thomas Schultz
Thomas Schultz
Edit Dates
02/05/2009 01:46:53 PM
02/05/2009 01:45:58 PM
02/05/2009 01:44:11 PM
01/15/2009 04:28:46 PM