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Abstract #1716

Internal gradient distribution tensors of white matter tracts models

Jesus E. Fajardo1 and Gonzalo A. Álvarez1,2,3
1Centro Atómico Bariloche, CONICET, CNEA, 8400, San Carlos de Bariloche, Argentina, 2Instituto Balseiro, CNEA, Universidad Nacional de Cuyo, 8400, San Carlos de Bariloche, Argentina, 3Instituto de Nanociencia y Nanotecnología, CONICET, CNEA, San Carlos de Bariloche, Argentina

Detecting non-invasively tissue-microstructural changes associated with pathologies constitutes a promising diagnosis paradigm. Susceptibility-induced magnetic field gradients constitute a way to obtain microstructural information which is expected to complement Diffusion Weighted Imaging (DWI) methods, since these methods arise from distinct physical phenomena. We performed simulations that show the potential of extracting quantitative tissue-microstructure information of axons in the white matter based on internal-gradient-distribution tensors. We show promising results that can allow detecting alterations in axon diameters, axon density and demyelination using internal gradient distributions as a diagnostic tool.

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