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Abstract #1383

Model-based motion correction outperforms a model-free method in quantitative renal MRI

Fotios Tagkalakis1, Kanishka Sharma2, Irvin Teh1, Bashair al-Hummiany1, David Shelley1, Margaret Saysell3, Julie Bailey3, Kelly Wroe3, Cherry Coupland3, Michael Mansfield3, and Steven Sourbron2
1University of Leeds, Leeds, United Kingdom, 2University of Sheffield, Sheffield, United Kingdom, 3Leeds Teaching Hospitals NHS Trust, St James's Hospital, United Kingdom

Current approaches for motion correction of quantitative MRI include model-driven registration (MDR) and model-free registration (MFR). This study compared MDR against a state-of-the-art groupwise MFR (GMFR) on T1-mapping, DTI and DCE from 10 patients with diabetic kidney disease. The results demonstrate the benefits of MDR in the context of quantitative imaging: MDR scores better on most quality and error metrics (up to 20% improvement) and offers a substantial gain in computation times (up to 17hrs per slice). Furthermore, there is potential for translation to other applications.

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