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Abstract #2719

Validating NORDIC denoising on high-resolution fMRI data at 7 T

Viktor Pfaffenrot1 and David Norris1,2
1Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany, 2Donders Institute for Brain, Cognition and Behavior, Radboud Iniversity Nijmegen, Nijmegen, Netherlands

Synopsis

Keywords: Data Processing, fMRI, denoising, laminar fMRI, NORDIC PCAHigh-resolution fMRI is dominated by thermal noise. The NORDIC PCA filter is a promising method to remove thermal noise but its effect on the spatial fidelity of layer-dependent profiles is sparsely investigated. We evaluated the performance of NORDIC with several parameter setting for laminar fMRI at 7 T and sought to investigate the effect NORDIC has on the shape of the profiles. Our results suggest that NORDIC indeed affects high-resolution profiles but the overall effect can be seen to be small and can be further reduced with careful parameter settings.

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Keywords