DocumentCode
3308933
Title
Geometry-driven diffusion filtering of MR tomograms using model-based conductance
Author
Bajla, Ivan ; Hollander, Igor
Author_Institution
Austrian Res. Centre, Seibersdorf, Austria
Volume
2
fYear
1999
fDate
36434
Abstract
A novel approach to the diffusion filtering of MR tomograms of the brain is proposed that is based on a model-based adaptive conductance using a priori information from the MR brain template atlas. It can be used in medical diagnostics for the enhancement and segmentation of MR brain tomograms
Keywords
biomedical MRI; brain models; image segmentation; medical image processing; tomography; a priori information; geometry-driven diffusion filtering; magnetic resonance brain template atlas; magnetic resonance brain tomograms; medical diagnostics; model-based adaptive conductance; segmentation; Biomedical imaging; Brain modeling; Data visualization; Image processing; Image segmentation; Information filtering; Information filters; Magnetic resonance imaging; Psychiatry; Solid modeling;
fLanguage
English
Publisher
ieee
Conference_Titel
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location
Atlanta, GA
ISSN
1094-687X
Print_ISBN
0-7803-5674-8
Type
conf
DOI
10.1109/IEMBS.1999.804240
Filename
804240
Link To Document