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Abstract #1149

Fast Longitudinal Image REgistration (FLIRE) for Breast MRI

Michelle W Tong1, Maren M. Sjaastad Andreassen2, Ana Rodríguez-Soto1, Christopher C Conlin1, Tyler Seibert3, Michael Hahn1, Rebecca Rakow-Penner1, and Anders M Dale1
1Radiology, University of California, San Diego, La Jolla, CA, United States, 2Circulation and Medical Imaging, Norwegian University of Science and Technology, Trondheim, Norway, 3Radiation Oncology, University of California, San Diego, La Jolla, CA, United States

MRI is commonly used to evaluate breast cancer response to neoadjuvant chemotherapy. Image registration algorithms aid diagnostic accuracy by correcting changes in patient position across visits. A novel technique, Fast Longitudinal Image REgistration (FLIRE), was evaluated by comparison to a standard algorithm optimized for breast tissue, DRAMMS. Breast images acquired over the course of neoadjuvant treatment were registered to baseline images. FLIRE runtime was 5 minutes (~20× faster). With this fast processing time, FLIRE performed within 2.5-10.2% of optimized DRAMMS in similarity measures. Overall accuracy and computation speed for FLIRE with default arguments demonstrates promise for clinical time-sensitive applications.

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