Detecting structure in diffusion tensor MR images

Authors:
K. Krishna Nand;Rafeef Abugharbieh;Brian G. Booth;Ghassan Hamarneh
Affiliations:
Biomedical Signal and Image Computing Lab, University of British Columbia;Biomedical Signal and Image Computing Lab, University of British Columbia;Medical Image Analysis Lab, School of Computing Science, Simon Fraser University;Medical Image Analysis Lab, School of Computing Science, Simon Fraser University
Venue:
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part II
Year:
2011

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Abstract

We derive herein first and second-order differential operators for detecting structure in diffusion tensor MRI (DTI). Unlike existing methods, we are able to generate full first and second-order differentials without dimensionality reduction and while respecting the underlying manifold of the data. Further, we extend corner and curvature feature detectors to DTI using our differential operators. Results using the feature detectors on diffusion tensor MR images show the ability to highlight structure within the image that existing methods cannot.