Abstract #2542

Noise Reduction for Task-Based Functional Magnetic Resonance Imaging using NORDIC and KWIA

Ru Zhang¹, Zhifeng Chen², Chengyang Zhao¹, Danny J.J. Wang¹, and Kay Jann¹

¹Mark and Mary Stevens Neuroimaging and Informatics Institute, University of Southern California, Los Angeles, CA, United States, ²Monash Biomedical Imaging, Department of Data Science & AI, Faculty of IT, Monash University, Clayton, Australia

Synopsis

Keywords: Image Reconstruction, Image ReconstructionWe quantitatively evaluate the performance of NORDIC and KWIA methods in denoising of high-resolution task-fMRI data from 7T in comparison to the standard manufacturer reconstruction. We found that both techniques improve single run statistics as well as improved consistency across runs. Analysis of tSNR confirmed improved data quality in the time domain that facilitates time-series analysis for task-fMRI.

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