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Doctoral dissertation | @PhdThesis{Schultz:PhD09, ... | Doktorarbeit

Schultz, Thomas

Feature Extraction for Visual Analysis of DW-MRI Data

Universität des Saarlandes, June, 2009
Universität des Saarlandes
Saarbrücken

Diffusion Weighted Magnetic Resonance Imaging (DW-MRI) is a recent modality to
investigate the major neuronal pathways of the human brain. However, the rich DW-MRI
datasets cannot be interpreted without proper preprocessing. In order to achieve under-
standable visualizations, this dissertation reduces the complex data to relevant features.
The first part is inspired by topological features in flow data. Novel features reconstruct
fuzzy fiber bundle geometry from probabilistic tractography results. The topological prop-
erties of existing features that extract the skeleton of white matter tracts are clarified,
and the core of regions with planar diffusion is visualized.
The second part builds on methods from computer vision. Relevant boundaries in the
data are identified via regularized eigenvalue derivatives, and boundary information is
used to segment anisotropy isosurfaces into meaningful regions. A higher-order structure
tensor is shown to be an accurate descriptor of local structure in diffusion data.
The third part is concerned with fiber tracking. Streamline visualizations are improved
by adding features from structural MRI in a way that emphasizes the relation between
the two types of data, and the accuracy of streamlines in high angular resolution data
is increased by modeling the estimation of crossing fiber bundles as a low-rank tensor
approximation problem.

Public
Download File(s):
Seidel, Hans-Peter
Theisel, Holger
Seidel, Hans-Peter
Completed
18
June
2009
Weickert, Joachim
Max-Planck-Institut für Informatik
Computer Graphics Group
MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort


BibTeX Entry:
@PHDTHESIS{Schultz:PhD09,
AUTHOR = {Schultz, Thomas},
TITLE = {Feature Extraction for Visual Analysis of DW-MRI Data},
PUBLISHER = {Universität des Saarlandes},
SCHOOL = {Universit{\"a}t des Saarlandes},
YEAR = {2009},
TYPE = {Doctoral dissertation}
ADDRESS = {Saarbr{\"u}cken},
MONTH = {June},
}





Entry last modified by Anja Becker, 03/22/2010
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Created
01/08/2010 04:44:39 PM
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Editor(s)
Anja Becker
Ellen Fries
Simone Schulze
Thomas Schultz
Edit Dates
22.03.2010 13:26:48
02/11/2010 10:49:04 AM
12.01.2010 15:28:32
01/08/2010 04:44:39 PM