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Abstract #5146

Realistic simulated MR Elastography data generated from in vivo brain images

Dhrubo Jyoti1, Diego Caban-Rivera2, Mary Kramer2, Alexa Diano2, Curtis Johnson2, Elijah Van Houten3, Keith Paulsen1, and Matthew Mcgarry1
1Dartmouth College, Hanover, NH, United States, 2University of Delaware, Newark, DE, United States, 3University of Sherbrooke, Sherbrooke, QC, Canada

Synopsis

Keywords: Elastography, In SilicoSimulations can play an important role in validating the accuracy of MR elastography (MRE) inversion algorithms. A realistic brain MRE simulation is created through a finite element model from in vivo MRE data, with 20 randomly generated simulated brains created by assigning properties of anatomical segmentations of brain structures within a range given by a published MRE atlas. Multi-frequency and multi-direction synthetic MRE data was generated via boundary conditions from in vivo measured motions to allow a range of inversion algorithms to be tested. These data will be supplied to the MRE study group for an inversion reconstruction challenge.

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Keywords