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.