Abstract #2853

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

Mengyuan Wan¹, Zhe Liu^2,3, Pascal Spincemaille², and Yi Wang^2,3

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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