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Abstract #4116

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

Jessica A McKay1,2, Gregory J Metzger2,3, Steen Moeller2,3, An L Church3, Michael T Nelson3, and Patrick J Bolan2,3

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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