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Bridging the Markerless Tracking Validation Gap: Intraoperative X-ray Workflow Integration — arXiv:2610.21696

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.21696
License (as archived): CC0-1.0
Archived: 2026-10-16T10:35:26.345Z
SHA-256 of the archived text: 8c5d70b53dc05bbacb0e06985fad54cab58bf81fac35dbdcd722c7f3eebaacda
Stable URL of this page: https://metraipolis.com/documento/dc_efedd02bc89e

How to cite

Bridging the Markerless Tracking Validation Gap: Intraoperative X-ray Workflow Integration — arXiv:2610.21696 — arXiv (en), https://arxiv.org/abs/2610.21696 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_efedd02bc89e (Metraipolis archive dc_efedd02bc89e, sha256 8c5d70b53dc05bbacb0e06985fad54cab58bf81fac35dbdcd722c7f3eebaacda)

BibTeX

@misc{dcefedd02bc89e,
  title = {Bridging the Markerless Tracking Validation Gap: Intraoperative X-ray Workflow Integration — arXiv:2610.21696},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.21696},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_efedd02bc89e; sha256 8c5d70b53dc05bbacb0e06985fad54cab58bf81fac35dbdcd722c7f3eebaacda},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.21696. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Markerless intraoperative tracking of spinal anatomy via RGB-D sensors is a promising alternative to invasive bone-anchored fiducials, yet no existing clinical dataset provides independent subsurface ground truth for validating these methods. We address this gap with a clinically viable pipeline that derives per-vertebra 6-DoF pose from routine intraoperative C-arm fluoroscopy, co-registered to the RGB-D camera frame through a multimodal fiducial array detectable in both imaging modalities. Critically, the pipeline requires no additional radiation, instrumentation, or deviation from standard surgical workflows, relying solely on the fluoroscopic images already acquired during routine level checks. A calibrated transform chain links the vertebral pose recovered via multi-view 2D-3D CT-to-fluoroscopy registration to the RGB-D coordinate frame, enabling direct comparison of any markerless registration estimate against a subsurface reference. Ex vivo validation against optically tracked ovine vertebrae confirms end-to-end accuracy of 2.06 +- 0.29 mm and 3.35 +- 0.93 degrees, sufficient to serve as independent ground truth for methods with substantially larger errors. We demonstrate the pipeline's utility by evaluating two markerless registration strategies on clinical data spanning 11 vertebrae across 1,500 frames from three surgical sequences: the first such evaluation against an independent subsurface reference in a clinical setting. The proposed framework provides reusable infrastructure for benchmarking emerging markerless tracking methods on real surgical data.

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/2610.21696 — 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 2026-10-16T08:52:02.684Z dalla pagina https://arxiv.org/list/cs.CV/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).