Drew Morris1, Revital Nossin-Manor1, Margot J. Taylor1, John G. Sled2,3
1Diagnostic Imaging, Hospital for Sick Children, Toronto, Ontario, Canada; 2Physiology Experimental Medicine, Hospital for Sick Children, Toronto, Ontario, Canada; 3Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
When processing DTI data it is unclear as to whether outlier rejection should be done before or after correction steps which involve registration and resampling. Resampling outliers can corrupt adjacent data, while detecting outliers in uncorrected data can cause false outlier detection. We investigate this problem in processing pipelines for DTI in preterm neonates. We propose a method to tackle outlier rejection and registration based corrections simultaneously.