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Abstract #1630

The Role of Bias Field Correction in the Free Water Elimination Problem

Drew Parker1, Abdol Aziz Ould Ismail1, Simon Alexander2, and Ragini Verma1

1Radiology, University of Pennsylvania, Philadelphia, PA, United States, 2Synaptive Medical Inc., Toronto, ON, Canada

Free water elimination (FWE) paradigms provide information about underlying pathology-induced tissue changes, based on a multi-compartment fit to the dMRI acquisition. Non-uniform intensity in MR signal, either due to coil or acquisition sequence, produces inhomogeneous tissue intensity profiles. This negatively affects FWE paradigms, producing artifactual multi-compartment fits. In this work, through extensive application on varied datasets, we demonstrate the effect of using bias field correction, an optimized non-uniform intensity normalization, on reducing artifacts in FWE and producing physiologically relevant maps. This suggests that bias correction should be maintained as an essential step in dMRI preprocessing for FWE.

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