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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

Model-driven registration is faster and more effective than model-free registration for motion correction in multiparametric, quantitative MRI of the kidney.

Figure 3. Comparison of computational times in minutes per patient (1-10) for GFMR (red) and MDR (blue) methods on T1 (top), DTI (middle) and DCE (bottom).

Figure 2. Distribution of pixel-based median metrics (one per row) for all 3 contrast mechanisms (one per column) and for each individual subject (horizontal axis). Plots show median +/- standard deviation for uncorrected data (green), GFMR (red) and MDR (blue).