Keywords: Kidney, Arterial spin labelling
Motivation: Effective motion correction is essential for accurate RBF quantification.
Goal(s): To evaluate the performance of groupwise and pairwise non-rigid registration algorithms to reduce motion effects in renal ASL perfusion images.
Approach: A total of 77 ASL datasets, with varying background suppression levels, post-labeling delays, and slices, were used. Outcomes were evaluated through both qualitative and quantitative metrics.
Results: A total of 90% datasets were rated as “improved” after groupwise registration, while all were classified as “improved” after pairwise registration Overall, metrics improved with pairwise registration and presented less variability across subjects.
Impact: Pairwise registration of ASL renal perfusion datasets shows promise for enhancing diagnostic reliability and real-time evaluation within the MR scanner.
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