Abstract #0653

Motion Correction in DCE-MRI by Tracer-Kinetic Model-Driven Registration: Beyond the Tofts models

Dimitra Flouri^1,2, Daniel Lesnic², and Steven P Sourbron ¹

¹Division of Biomedical Imaging, University of Leeds, Leeds, United Kingdom, ²Department of Applied Mathematics, University of Leeds, Leeds, United Kingdom

Tracer-kinetic model-driven motion correction is an attractive solution for DCE-MRI, but previous studies only use the extended Tofts model. We propose a generalisation based on a 4-parameter 2-compartment tracer-kinetic model, and evaluate it in simulated and patient kidney data. Results show a significantly improved alignment of the data and removal of the motion-induced parameter error at a wide range of noise levels. With improvement in calculation time this is viable method for motion correction in arbitrary DCE-MRI data.

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