Abstract #0169

OSCILLATE: A Low-Rank Approach for Accelerated Magnetic Resonance Elastography

Grace McIlvain¹, Alex M Cerjanic², Anthony G Christodoulou³, Matthew DJ McGarry⁴, and Curtis L Johnson¹

¹Biomedical Engineering, University of Delaware, Newark, DE, United States, ²Bioengineering, University of Illinois, Urbana, IL, United States, ³Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, CA, United States, ⁴Thayer School of Engineering, Dartmouth College, Hanover, NH, United States

MR elastography (MRE) has emerged as a sensitive measure of brain health, but due to the need for repeated measures of wave motion, it is a fundamentally long scan. We have developed a method for accurate MRE using spatiotemporal undersampling and low rank joint reconstruction across all samples. We demonstrate the ability to collect accurate MRE data in half the time with under 2% stiffness error. This accelerated method will be used to scan challenging populations, such as those with developmental disabilities, as well as improve achievable resolution and feasibility of multi-frequency or multi-excitation methods.

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