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Bridging fMRI Segmentation and 3D Printing for Detailed Modeling of Brain Anomalies

Poster Session D - Monday, March 31, 2025, 8:00 – 10:00 am EDT, Back Bay Ballroom/Republic Ballroom

Aryan Kodali1, Jonathan Barta1; 1University of North Carolina at Chapel Hill

Functional neuroimaging techniques, particularly resting state functional MRI (rs-fMRI), have emerged as a powerful tool for mapping and displaying blood oxygen level dependent (BOLD) signals. This study presents a novel integration of fMRI processing, fMRI segmentation and 3D printing to create anatomically accurate brain models, designed to enhance patient and clinician understanding of various brain pathologies. The research involved preprocessing over 1,000 fMRI scans, including skull-stripping, normalization, and reorientation. Advanced medical software was utilized to segment regions of interest (ROIs) and produce 3D models. These models were printed to visually represent disrupted neural pathways, tumors, and other clinical conditions. The resulting models serve as a valuable tool for patient education and clinical planning.

Topic Area: METHODS: Neuroimaging

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March 29–April 1  |  2025

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