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Abstract #2429

Native Space Outlier Rejection (NaSOR) for Arterial Spin Labelling

Courtney Alexandra Bishop1, Mari Lambrechts2, James O'Callaghan2, Adam Connolly1, and Roger Gunn1

1Analysis, Invicro LLC, London, United Kingdom, 2MRI, Invicro LLC, London, United Kingdom

ASL suffers from relatively low signal-to-noise, so data cleaning strategies are required to optimise its utility. A previous method for outlier rejection of 2D-PASL data required time-consuming spatial normalization to standard space, degrading the original ASL data, and was limited to single inversion-time (TI) 2D-PASL. We therefore developed two native-space processing workflows, termed Native Space Outlier Rejection (NaSOR) and Native Space Perfusion-weighted Outlier Rejection (NaSPOR). The two native-space workflows performed comparably to an implementation of the previous standard-space method, in terms of both percentage of outliers rejected and coefficients of variation (CV) for test-retest CBF values, suggesting clinical utility.

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