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Abstract #0592

Elucidating Micro-scale Fiber Trajectories at 16μ in Anisotropic Phantoms via Structural Tensor Analysis

Sudhir Kumar Pathak1, Rolf Pohmann2, Nikolai Ivanovich Avdievitch2, Klaus Scheffler2,3, Anthony Zuccolotto4, Yijen Wu5, and Walter Schneider6,7,8,9,10
1Learning Research and Development Center, University of Pittsburgh, PITTSBURGH, PA, United States, 2Max Planck Institute for Biological Cybernetics, Tübingen, Germany, 3Department for Biomedical Magnetic Resonance, University Hospital Tübingen, Tübingen, Germany, 4Psychology Software Tools, Pittsburgh, PA, United States, 5Department of Developmental Biology, University of Pittsburgh, Pittsburgh, PA, United States, 6Learning Research and Development Center, University of Pittsburgh, Pittsburgh, PA, United States, 7Psychology, University of Pittsburgh, Pittsburgh, PA, United States, 8Bioengineering, University of Pittsburgh, Pittsburgh, PA, United States, 9Neurosurgery, Pittsburgh, PA, United States, 10Radiology, University of Pittsburgh, Pittsburgh, PA, United States

Synopsis

Keywords: Phantoms, Phantoms, Validation, microstructural Imaging

Motivation: This study utilizes a custom-designed fiber crossing configuration based on anisotropic textile hollow fiber phantom and harnesses high-resolution 14T MRI to unravel manufactured fiber crossings at a microscopic scale.

Goal(s): By applying structural tensor analysis in combination with eigenvalue decomposition, we have estimated underlying fiber orientations and visualized in multi-planar, directional-color-encoded maps.

Approach: This innovative approach yielded precise angular measurements across the volume to delineate the expected fiber orientation and crossing angles, thereby validating the structural tensor method's efficacy in capturing complex fiber architecture within a controlled environment.

Results: This Phantom can provide a ground truth for validating diffusion MRI based crossing assessments.

Impact: This research presents a pivotal advancement for validating MRI-based fiber crossing, offering a novel phantom design for assessing the accuracy and limitations of MRI methods in resolving complex fiber architectures in biological tissues.

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