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GraphSVR: q-Space--Aware Graph-Based Slice-to-Volume Registration for Diffusion MRI
Diffusion-weighted imaging (DWI) remains highly vulnerable to subject motion, particularly in time-efficient protocols and in motion-prone populations. While slice-to-volume registration (SVR) can mitigate inter-slice and inter-stack misalignment, diffusion MRI introduces additional complexity due to diffusion-direction-dependent contrast and the requirement to align dozens of measurements within a common reference frame, effectively yielding a 4D registration problem. Existing approaches rely primarily on sequential modeling or pairwise similarity and often degrade under sparse gradient sampl
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-21T15:06:09.000Z
First collected: 2026-09-23T06:11:12.848Z. This is not the publication date.