Campus Event Calendar
Event Entry
What and Who
"Feature Extraction for Visual Analysis of DW-MRI Data"
Dipl.-Inform. Thomas Schultz
Max-Planck-Institut für Informatik - D4
Promotionskolloquium
AG 1, AG 3, AG 4, AG 5, SWS, RG1, MMCI
Public Audience
English
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Date, Time and Location
Thursday, 18 June 2009
16:00
90 Minutes
E1 4
019
Saarbrücken
Abstract
Diffusion Weighted MRI is a recent modality to investigate neuronal
pathways of the brain. In order to achieve understandable
visualizations of the resulting datasets, this dissertation reduces
them to relevant features. First, the accuracy of fiber tracking
methods in regions of crossing fibers is increased, and streamlines
are put into context with structural MR images. Then, derivative-based
methods are employed to identify boundaries, to segment meaningful
regions, and to describe local variance in the data. Finally, the role
of tensor topology for the visualization of diffusion tensors is
clarified.
pathways of the brain. In order to achieve understandable
visualizations of the resulting datasets, this dissertation reduces
them to relevant features. First, the accuracy of fiber tracking
methods in regions of crossing fibers is increased, and streamlines
are put into context with structural MR images. Then, derivative-based
methods are employed to identify boundaries, to segment meaningful
regions, and to describe local variance in the data. Finally, the role
of tensor topology for the visualization of diffusion tensors is
clarified.
Contact
Thorsten Thormaehlen
+49.681.9325.417
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Svetlana Borodina, 06/10/2009 15:58
Svetlana Borodina, 06/10/2009 15:57 -- Created document.
Svetlana Borodina, 06/10/2009 15:57 -- Created document.