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Abstract #2704

Initial clinical evaluation of locally low-rank denoising on motor areas for task-based presurgical functional MRI

Nolan Meyer1, Norbert G Campeau2, David F Black2, Kirk M Welker2, Erin Gray2, Daehun Kang2, MyungHo In2, John Huston2, Yunhong Shu2, Matt A Bernstein2, and Joshua D Trzasko2
1Mayo Clinic Graduate School of Biomedical Sciences, Rochester, MN, United States, 2Radiology, Mayo Clinic, Rochester, MN, United States

In a preliminary evaluation of task-based motor fMRI data of five healthy subjects, locally low-rank (LLR) denoising is evaluated for clinical performance. Complex-valued timecourse echo planar imaging (EPI) data from finger-tapping exams were LLR-denoised and equivalently processed alongside control images. Statistical thresholds of LLR-denoised and control data were assessed by four board-certified neuroradiologists for four specific clinically relevant clusters and overall. LLR denoising predominantly yields increased thresholds for four specific cluster regions and aggregate maps in a preliminary analysis.

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