title: Probabilistic 4D blood flow mapping.
abstract: Blood flow and tissue velocity can be measured using phase-contrast MRI. In this work, the statistical properties of 4D phase-contrast images are derived, and a novel probabilistic blood flow mapping method based on sequential Monte Carlo sampling is presented. The resulting flow maps visualize and quantify the uncertainty in conventional flow visualization techniques such as streamlines and particle traces.
authors.affiliation: Fraunhofer MEVIS, Institute for Medical Image Computing, Germany.
authors.forename: Ola
authors.initials: O
authors.lastname: Friman
authors.forename: Anja
authors.initials: A
authors.lastname: Hennemuth
authors.forename: Andreas
authors.initials: A
authors.lastname: Harloff
authors.forename: Jelena
authors.initials: J
authors.lastname: Bock
authors.forename: Michael
authors.initials: M
authors.lastname: Markl
authors.forename: Heinz-Otto
authors.initials: HO
authors.lastname: Peitgen
mesh_terms: D000465:Algorithms; D001011:Aorta / Q000502:physiology*; D001783:Blood Flow Velocity / Q000502:physiology*; D003627:Data Interpretation, Statistical; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D015203:Reproducibility of Results; D012212:Rheology / Q000379:methods*; D012680:Sensitivity and Specificity