OHBM 2023 | 3069 | Talk | Simon Legeay | High Performance Computing global tractography for ultra-…
Title: High Performance Computing global tractography for ultra-high resolution diffusion MRI and 3D-PLI.
Session: Oral Session
Speaker: Simon Legeay
Abstract: Contrary to conventional streamline approaches which proceed with the inference of axonal fibers independently, spin-glass global tractography relies on a Markovian framework that simultaneously creates and optimizes the trajectories of virtual axonal fibers under the constraint of their local orientation distribution provided by diffusion MRI or 3D-Polarized Light Imaging (3D-PLI) [1]. The global optimization strategy guarantees more accuracy and reliability than common streamline tractography methods [6,8,9] but requires significant computational resources both in terms of time and memory, making it difficult to apply to large datasets. We propose here a revisited architecture for global tractography suitable for high performance computing (HPC) deployment with an application on the 11.7T MRI Chenonceau dataset [7].
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