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Abstract #2853

Making Quantitative Susceptibility Mapping (QSM) a clinical reality: a one minute Morphology Enabled Dipole Inversion using GPU computing

Mengyuan Wan1, Zhe Liu2,3, Pascal Spincemaille2, and Yi Wang2,3

1Software Engineering, Wuhan University, Wuhan, China, 2Radiology, Weill Cornell Medical College, New York, NY, United States, 3Biomedical Engineering, Cornell University, Ithaca, NY, United States

In this work, we demonstrate the feasibility of using GPU computing to achieve a 15 fold acceleration of the most time consuming parts of the Morphology Enabled Dipole Inversion (MEDI) method for Quantitative Susceptiblity Mapping (QSM) leading to an overall 5 fold reduction in total processing time, allowing a one minute susceptibility map reconstruction.

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