title: Blood flow computation in phase-contrast MRI by minimal paths in anisotropic media.
abstract: 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.
authors: Fraunhofer MEVIS - Institute for Medical Image Computing, Bremen, Germany. michael.schwenke@mevis.fraunhofer.de
authors: Michael
authors: M
authors: Schwenke
authors: Anja
authors: A
authors: Hennemuth
authors: Bernd
authors: B
authors: Fischer
authors: Ola
authors: O
authors: Friman
mesh_terms: D000465:Algorithms; D000783:Aneurysm / Q000473:pathology; D016880:Anisotropy; D015415:Biomarkers / Q000378:metabolism; D001783:Blood Flow Velocity; D002339:Carotid Arteries / Q000473:pathology; D003201:Computers; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008858:Microscopy, Phase-Contrast / Q000379:methods*; D015233:Models, Statistical; D009010:Monte Carlo Method; D011336:Probability
chemical_list: D015415:Biomarkers