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Blood flow computation in phase-contrast MRI by minimal paths in anisotropic media.

: Schwenke, M.; Hennemuth, A.; Fischer, B.; Friman, O.

Fichtinger, G.:
Medical image computing and computer-assisted intervention, MICCAI 2011. 14th international conference. Pt.1 : Toronto, Canada, September 18-22, 2011; proceedings
Berlin: Springer, 2011 (Lecture Notes in Computer Science 6891)
ISBN: 3-642-23622-7
ISBN: 978-3-642-23622-8
ISBN: 978-3-642-23623-5
ISSN: 0302-9743
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) <14, 2011, Toronto>
Conference Paper
Fraunhofer MEVIS ()

In this paper, anisotropic Fast Marching is employed to compute blood flow trajectories as minimal paths in 3D phase-contrast MRI images. Uncertainty in the estimated blood flow vectors is incorporated in a tensor which is used as metric for the anisotropic Fast Marching. A flow connectivity distribution is computed simultaneously to the Fast Marching. Based on the connectivity distribution the most likely flow trajectories can be identified. Results are presented for several PC MRI data sets and the capability of the method to indicate uncertainty of the flow trajectories is shown.