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Philippe Karan, Manon Edde, Guillaume Gilbert, M. Barakovic, Stefano Magon, Maxime Descoteaux
0 8. 10. 2023.

Data-driven characterization and correction of the orientation dependence of magnetization transfer measures using diffusion MRI

Purpose To characterize the orientation dependence of magnetization transfer (MT) measures in white matter (WM) and propose a first correction method for such measures. Methods A characterization method was developed using the fiber orientation obtained from diffusion MRI (dMRI) with diffusion tensor imaging (DTI) and constrained spherical deconvolution (CSD). This allowed for characterization of the orientation dependence of measures in all of WM, regardless of the number of fiber orientation in a voxel. Furthermore, a first correction method was proposed from the results of characterization, aiming at removing said orientation dependence. Both methods were tested on a 20-subject dataset and effects on tractometry results were also evaluated. Results Previous results for single-fiber voxels were reproduced and a novel characterization was produced in voxels of crossing fibers, which seems to follow trends consistent with single-fiber results. Unwanted effects of the orientation dependence on MT measures were highlighted, for which the correction method was able to produce improved results. Conclusion Encouraging results of corrected MT measures showed the importance of such correction, opening the door for future research on the topic.


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