Estimation of axon-bundle parallel-diffusivity on clinical settings with linear-encoding DW-MR data
Pablo Antonio Stack-Sanchez1, Alonso Ramirez-Manzanares1, Arturo Gonzalez-Vega2, Jose Luis Marroquin1, and Luis Concha3
1Computer Science, Centro de Investigación en Matemáticas A.C., Guanajuato, Mexico, 2Department of Chemical, Electronic and Biomedical Engineering, Division of Sciences and Engineering, University of Guanajuato, Guanajuato, Mexico, Leon, Mexico, 3Institute of Neurobiology, Universidad Nacional Autonoma de Mexico, Juriquilla, Mexico
The estimation of reliable parameters of multi-compartment models of water diffusivity is a challenging open problem, especially when low-SNR clinical-datasets are analyzed. The ill-posedness of the models requires fixing a subset of parameters in order to estimate the rest of them. We propose a simple and fast method where only averaged parameters are required (not voxelwise information is required). The method is based on the processing of powder-averaged data to estimate a robust value for the axon-bundle parallel-diffusivity. We test the robustness of the method on synthetic experiments and show the results on in-vivo human and ex-vivo rodent datasets.
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