Perfusion estimation using synthetic MRI-based measurements and a porous media flow model

PLoS Comput Biol. 2023 Oct 2;19(10):e1011127. doi: 10.1371/journal.pcbi.1011127. eCollection 2023 Oct.

Abstract

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.

MeSH terms

  • Contrast Media*
  • Magnetic Resonance Imaging* / methods
  • Perfusion
  • Porosity

Substances

  • Contrast Media

Grants and funding

This work is supported by the Norwegian Research Council project 262203 “Flow-based interpretation of Dynamical Contrast Enhanced Imaging data”. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.