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Among fiber tracking methods, spin glass tractography approaches propose an efficient framework to perform a global optimization of the inference of the structural brain connectivity from diffusion MRI HARDI or HYDI dataset. In addition, spin-glass based global tractography allows to add further regularization potentials to better constrain the energy landscape using anatomical or microstructural priors and thus help discard false positives. The proposed global tractography tools allows to compute from any diffusion MRI dataset a dense tractogram of virtual white matter fibers, under the constraint of a bending energy ensuring low curvature of fibres and robust inference of fibers in regions depicting several fiber populations (kissings, crossings, splittings), of anatomical prior (pial surface to drive the ending of fibers), and of microstructural priors (like the intraxonal volume fraction or the orientation dispersion of fibers, to allow sharp turns of fibres when connecting to the cortical ribbon).

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