Abstract #4116

Adaptation of a Computer Vision Blur Metric to Objectively Compare High Resolution DWI Strategies in in vivo Breast Imaging

Jessica A McKay^1,2, Gregory J Metzger^2,3, Steen Moeller^2,3, An L Church³, Michael T Nelson³, and Patrick J Bolan^2,3

¹Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States, ²Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, ³Radiology, University of Minnesota, Minneapolis, MN, United States

DWI has shown promise for detecting and characterizing breast cancers but is limited by the low spatial resolution of standard spin-echo EPI techniques. Several strategies have been proposed to generate high resolution DWI, including reduced field-of view, steady-state imaging, readout-segmented EPI, and simultaneous multi-slice imaging (SMS). In this work we adopt the Crété-Roffet blur metric to objectively compare resolution of three DWI strategies, including standard SE-EPI, and RO-segmented EPI and SMS-EPI high resolution approaches. In this comparison, both high-resolution DWI methods showed an improvement in in-plane resolution over the standard technique. The Crété-Roffet blur metric appears to be a robust and objective means of comparing effective resolution.

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