Max-Planck-Institut für Informatik
max planck institut
mpii logo Minerva of the Max Planck Society

MPI-INF D4 Publications :: Thesis :: Schultz, Thomas

MPI-INF D4 Publications
Show all entries of:this year (2019)last year (2018)two years ago (2017)Open in Notes
Action:login to update  Library locked

Thesis - Doctoral dissertation | @PhdThesis | Doktorarbeit

Author(s)*:Schultz, Thomas
BibTeX citekey*:Schultz:PhD09

Title, School
Title*:Feature Extraction for Visual Analysis of DW-MRI Data
School:Universität des Saarlandes
Type of Thesis*:Doctoral dissertation

Publishers Name:Universität des Saarlandes
Publishers Address:Saarbrücken

Note, Abstract, Copyright
LaTeX Abstract: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.

Download Access Level:Public
Download File(s):View attachments here:

Referees, Status, Dates
1. Referee:Seidel, Hans-Peter
2. Referee:Theisel, Holger
Supervisor:Seidel, Hans-Peter
Date Kolloquium:18 June 2009
Chair Kolloquium:Weickert, Joachim

MPG Unit:Max-Planck-Institut für Informatik
MPG Subunit:Computer Graphics Group
Appearance:MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort

BibTeX Entry:
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
Hide details for Edit History (please click the blue arrow to see the details)Edit History (please click the blue arrow to see the details)

01/08/2010 04:44:39 PM
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