Sign inGet started
Paper · arXiv

MoSAIK: Motion Search with Artificial Intelligence in K-space

Object: Motion artefacts remain a major limitation of routine two-dimensional T2-weighted turbo spin-echo (TSE) brain MRI, reducing diagnostic confidence and often necessitating repeated acquisitions. MoSAIK (Motion Search with AI in K-space) retrospectively estimates in-plane rigid-body motion directly from standard multi-coil TSE k-space. Without a motion-free reference, external navigators, or additional acquisitions, MoSAIK infers motion from k-space self-consistency violations and incorporates predicted parameters into model-based, motion-aware reconstruction rather than synthesizing corrected images. Materials and Methods: Selected complex coil data were represented as log-magnitude...

AuthorsOscar Dabrowski, Abijith Jagannath, Frédéric Grouiller et al.
Primary categorycs.AI
Published19 October 2026
Last updated at source19 October 2026
cs.AIphysics.med-ph
Embed this entry
<iframe src="https://silytics.si/embed/item/a979f893-f025-414a-a118-541a23f224b7" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 21 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.