Probabilistic 4D blood flow mapping.

Ola Friman*, Anja Hennemuth, Andreas Harloff, Jelena Bock, Michael Markl, Heinz Otto Peitgen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)416-423
Number of pages8
JournalMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Issue numberPt 3
StatePublished - Nov 18 2010

ASJC Scopus subject areas

  • Medicine(all)


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