Metraipolis › archive › dc_bc03fd46cb13

Training-Free Motion-Corrected 3D Brain MRI Reconstruction via Event-Guided References — arXiv:2611.01902

Source: arXiv (en)
Original: https://arxiv.org/abs/2611.01902
License (as archived): CC0-1.0
Archived: 2026-11-03T11:41:44.392Z
SHA-256 of the archived text: 3ee7d748471f2baaca952fd5aae7253912ca54e2e7f7e8402a1c284fac3b16a3
Stable URL of this page: https://metraipolis.com/documento/dc_bc03fd46cb13

How to cite

Training-Free Motion-Corrected 3D Brain MRI Reconstruction via Event-Guided References — arXiv:2611.01902 — arXiv (en), https://arxiv.org/abs/2611.01902 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_bc03fd46cb13 (Metraipolis archive dc_bc03fd46cb13, sha256 3ee7d748471f2baaca952fd5aae7253912ca54e2e7f7e8402a1c284fac3b16a3)

BibTeX

@misc{dcbc03fd46cb13,
  title = {Training-Free Motion-Corrected 3D Brain MRI Reconstruction via Event-Guided References — arXiv:2611.01902},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2611.01902},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_bc03fd46cb13; sha256 3ee7d748471f2baaca952fd5aae7253912ca54e2e7f7e8402a1c284fac3b16a3},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2611.01902. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Head motion causes artefacts in 3D brain MRI and can bias structural measurements. Model-based correction alternates between image and motion estimation, but artefacts in the reconstructed reference can reinforce motion errors. Learned priors can reduce these artefacts but require pretraining and may add test-time computation. We propose EventMC (event-guided motion correction), a training-free method for interleaved Cartesian acquisitions. It iteratively detects motion events and estimates motion using reference images reconstructed from stable intervals. It then refines the image and motion from low to high spatial frequencies. In a fair comparison in simulation (same reconstruction), EventMC's motion estimates improve mean PSNR by up to 4.0 dB over those of the learning-based MotionTTT. A single run of EventMC is up to 7.5 times faster than MotionTTT with less than half the GPU memory. On in vivo motion-corrupted scans, EventMC achieves similar mean image quality to MotionTTT without any training. Code is available at this https URL .

Tema degli esploratori: statistica e scienza dei dati (elenco arXiv cs.CV, nuovi lavori del giorno).
Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV).
Pagina del lavoro: https://arxiv.org/abs/2611.01902 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-03T11:06:37.524Z dalla pagina https://arxiv.org/list/cs.CV/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).