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Abstract #3364

A Novel Distortion-Matched Anatomical Imaging Technique for High-Fidelity Functional Mapping onto a True-Brain Atlas

Seong Dae Yun1, Patricia Pais-Roldán1, Jeongbeen Lee1,2, and N. Jon Shah1,3,4,5
1Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Juelich, Juelich, Germany, 2Department of Brain and Cognitive Sciences, Scranton College, Ewha Womans University, Seoul, Korea, Republic of, 3Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Juelich, Juelich, Germany, 4JARA - BRAIN - Translational Medicine, Aachen, Germany, 5Department of Neurology, RWTH Aachen University, Aachen, Germany

Synopsis

Keywords: Pulse Sequence Design, Pulse Sequence Design, Brain Atlas, Geometric Distortion Correction, Distortion-matched Anatomy, EPI, fMRI, Functional Mapping Accuracy, MP2RAGE, Submillimetre resolution, and Ultra-high field

Motivation: To address geometric distortion in EPI, a distortion-matched anatomical sequence (namely, MP2EPI) can be used in fMRI for effortless co-registration with functional scans. However, MP2EPI also introduces geometric distortion, limiting its applicability for atlas-based analysis.

Goal(s): This work proposes a novel MP2EPI scheme that simultaneously acquires reversed phase-encoding EPI, enabling effective distortion correction without increasing scan time.

Approach: Visual fMRI was performed using submillimetre EPI at 7T. Functional mapping accuracy was assessed using both the original and distortion-corrected MP2EPI.

Results: The distortion-corrected MP2EPI demonstrates functional mapping with a high degree of similarity to MP2RAGE, suggesting its potential use for brain atlas-based analysis.

Impact: The proposed MP2EPI scheme simultaneously acquires both original and reverse phase-encoding EPI, enabling effective distortion correction in distortion-matched anatomical scans. Distortion-corrected MP2EPI enhances functional mapping for submillimetre fMRI, exhibiting greater alignment with the true-brain atlas, as measured by MP2RAGE.

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Keywords