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Abstract #0497

A computational fluid dynamics framework to generate digital reference objects for perfusion imaging

Ulin Nuha Abdul Qohar1, Erik Andreas Hanson1, Steven Sourbron2, and Antonella Zanna Munthe-Kaas1
1Mathematics, University of Bergen, Bergen, Norway, 2University of Sheffield, Sheffield, United Kingdom

In this study, we present a simulation framework capable of generating synthetic reference perfusion MRI data suitable for evaluation and comparison of tracer kinetic models. The framework consists of a graph-based contrast agent flow model with a vascular geometry and allows for controlled simulations with realistic structural and vascular parameters. We demonstrate the potential application of the proposed framework by performing a comparison between traditional pharmacokinetic models of varying complexity, by studying the effect of ROI size.

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