The measurement of perfusion and filtration of blood in biological tissue give rise to important clinical parameters used in diagnosis, follow-up, and therapy. In this paper, we address techniques for perfusion analysis using processed contrast agent concentration data from dynamic MRI acquisitions. A new methodology for analysis is evaluated and verified using synthetic data generated on a tissue geometry.
CITATION STYLE
Lorentzen, R. J., Nævdal, G., Sævareid, O., Hodneland, E., Hanson, E. A., & Munthe-Kaas, A. (2023). Perfusion estimation using synthetic MRI-based measurements and a porous media flow model. PLoS Computational Biology, 19(10 October). https://doi.org/10.1371/journal.pcbi.1011127
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