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Abstract #4436

Tackling Degeneracy in Linear Tensor Encoding Diffusion MRI

Khoi Minh Huynh1, Ye Wu2, Hoyt Patrick Taylor IV2, Weili Lin2, and Pew-Thian Yap2
1Biomedical Engineering, UNC-Chapel Hill, Chapel Hill, NC, United States, 2Department of Radiology and BRIC, UNC-Chapel Hill, Chapel Hill, NC, United States

Model degeneracy in diffusion MRI could lead to misestimation of microstructural properties. This work presents a metric to characterize the degree of degeneracy and proposes a strategy to break degeneracy by utilizing both diffusion-weighted signal and its spherical mean. We will demonstrate that breaking the degeneracy results in more accurate quantification of microstructure.

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