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Abstract #1445

Advancing 7T Clinical fMRI: Automated Post-Processing with Prism and PSF-Based Distortion Correction

Myung-Ho In1, Eric G Stinson1, W Chad Neller2, Mojahed Hamed1,3, Frank Godenschweger4, Oliver Speck4, Jay J Pillai1, Kirk M Welker1, and Andrew Fagan1
1Radiology, Mayo Clinic, Rochester, MN, United States, 2Prism Clinical Imaging, Inc., Elm Grove, WI, United States, 3Siemens Medical Solutions USA, Inc., Scottsdale, AZ, United States, 4Biomedical Magnetic Resonance, Otto-von-Guericke University, Magdeburg, Germany

Synopsis

Keywords: fMRI Acquisition, fMRI Acquisition, fMRI Analysis

Motivation: Ultra-high-field (7T) fMRI provides enhanced BOLD contrast and spatial resolution for clinical applications but faces challenges from image distortions. Integrating effective solutions into a streamlined clinical workflow is crucial.

Goal(s): To integrate Prism’s automated fMRI post-processing and PSF-based distortion correction (DiCo) for improved reliability of 7T clinical fMRI.

Approach: A clinical fMRI workflow incorporating point-spread-function (PSF) mapping-based DiCo and vendor-provided motion correction (MoCo) was implemented with corresponding modifications in Prism’s post-processing pipeline.

Results: The integration significantly improved fMRI-to-anatomical alignment and demonstrated comparable MoCo performance to the method used by Prism across multiple exams.

Impact: Integrating PSF-based distortion correction with Prism’s automated workflow significantly improves fMRI data reliability and alignment at 7T, advancing clinical applications of ultra-high-field fMRI with minimal user input and optimized workflow efficiency.

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Keywords