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Abstract #3770

MP-PCA denoising to improve detection of task-based fMRI activation in brain tumor patients

Benjamin Ades-Aron1, Jelle Veraart1, Els Fieremans1, Dmitry Novikov1, and Timothy Shepherd1

1Radiology, Center for Biomedical Imaging, New York University School of Medicine, New York, NY, United States

Functional MRI improves preoperative planning in brain tumor patients, however BOLD signal changes for task-based 3T fMRI are only 2-4% and the tumor often compromises patient performance. This retrospective study evaluated Marchenko-Pastur Principle Component Analysis (MP-PCA) denoising to increase sensitivity for cortical regions recruited during language task-based fMRI paradigms in brain tumor patients. MP-PCA denoising is shown to improve the clinical value and practical utility of performing preoperative fMRI in brain tumor patients.

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