DocumentCode
2720742
Title
A comprehensive riemannian framework for the analysis of white matter fiber tracts
Author
Mani, Meena ; Kurtek, Sebastian ; Barillot, Christian ; Srivastava, Anuj
Author_Institution
Visages Project, IRISA/INRIA Rennes, Rennes, France
fYear
2010
fDate
14-17 April 2010
Firstpage
1101
Lastpage
1104
Abstract
A quantitative analysis of white matter fibers is based on different physical features (shape, scale, orientation and position) of the fibers, depending on the specific application. Due to the different properties of these features, one usually designs different metrics and spaces to treat them individually. We propose a comprehensive Riemannian framework that allows for a joint analysis of these features in a consistent manner. For each feature combination, we provide a formula for the distance, i.e. quantification of differences between fibers and a formula for geodesics, i.e. optimal deformations of fibers into each other. We illustrate this framework in the context of clustering fiber tracts from the corpus callosum and study the results from different combinations of features.
Keywords
biomedical MRI; image reconstruction; image segmentation; medical image processing; neurophysiology; pattern clustering; clustering fiber tracts; comprehensive Riemannian framework; corpus callosum; feature combination; fiber deformations; geodesics; white matter fiber tracts; Diffusion tensor imaging; Diseases; Extraterrestrial measurements; Information analysis; Labeling; Magnetic resonance imaging; Neurosurgery; Shape; Statistical analysis; Tensile stress; DTI fiber clustering; Riemannian shape analysis; elastic shape metric; joint feature spaces;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
Conference_Location
Rotterdam
ISSN
1945-7928
Print_ISBN
978-1-4244-4125-9
Electronic_ISBN
1945-7928
Type
conf
DOI
10.1109/ISBI.2010.5490185
Filename
5490185
Link To Document