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Abstract #3125

NORDIC denoising on VASO data

Lasse Knudsen1, Luca Vizioli2, Federico De Martino3, Lonike Faes3, Daniel Handwerker4, Steen Moeller2, Peter A. Bandettini4, and Laurentius Huber4
1Aarhus University, Aarhus, Denmark, 2University of Minnesota, Minneapolis, MN, United States, 3Maastricht University, Maastricht, Netherlands, 4National Institute of Mental Health, Bethesda, MD, United States

Synopsis

Keywords: fMRI Analysis, fMRI, NORDIC , VASO, laminar fMRI

Motivation: NORDIC denoising can effectively enhance the limited SNR in high-resolution fMRI. However, its application on VASO is yet to be validated.

Goal(s): We aimed to evaluate applications of NORDIC on VASO data and to offer recommendations for its execution.

Approach: We examined NORDIC’s capability to suppress noise while preserving the VASO signal across a wide parameter spectrum

Results: With a proper set of parameters, NORDIC effectively suppressed noise with minimal biases on the underlying signal.

Impact: NORDIC can substantially enhance the SNR in submillimeter VASO fMRI. We found the denoising performance to be sensitive to parameter choices and provide recommendations for safe execution.

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Keywords