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. © 2010 Springer-Verlag.
Cite
CITATION STYLE
Friman, O., Hennemuth, A., Harloff, A., Bock, J., Markl, M., & Peitgen, H. O. (2010). Probabilistic 4D blood flow mapping. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6363 LNCS, pp. 416–423). https://doi.org/10.1007/978-3-642-15711-0_52
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
