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Abstract #0211

Motion correction for 3D free-breathing renal DCE-MRI using tracer kinetic model-driven registration

Dimitra Flouri1,2, Daniel Lesnic2, Constantina Chrysochou3, Philip Kalra3, and Steven P Sourbron1

1Division of Biomedical Imaging, University of Leeds, Leeds, United Kingdom, 2Department of Applied Mathematics, University of Leeds, Leeds, United Kingdom, 3University of Manchester, Salford, United Kingdom

Tracer-kinetic model driven motion-correction is a highly effective strategy for 2D free-breathing DCE-MRI. In this study we address the challenge of translation to 3D by improving computational efficiency and evaluating performance in the presence of ghosting artefacts. Results in 8 patient cases show that the optimised algorithm is feasible in realistic computation times and effectively removes between-frame breathing motion despite significant within-frame artefacts. Quantitative evaluation against reference measurements shows a reduction of the bias, but precision is limited by within-frame artefacts and will require an integrated motion-correction and image reconstruction strategy.

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