Vision‐Guided Surgical Navigation Using Computer Vision for Dynamic Intraoperative Imaging Updates
Computer vision can enable dynamic intraoperative imaging by generating highly accurate CT updates from monocular endoscopic video without external tracking. By directly visualizing resection progress, this software-driven tool has the potential to enhance surgical completeness in ESS for next-generation navigation platforms.
Authors
- Eric J. Seibel (ORCID: https://orcid.org/0000-0002-3382-6541)
- Grant Harris
- Jeremy S. Ruthberg (ORCID: https://orcid.org/0000-0002-1116-1817)
- Randall A. Bly (ORCID: https://orcid.org/0000-0001-5308-527X)
- Hannah F. Case
- Waleed M. Abuzeid (ORCID: https://orcid.org/0000-0003-2489-0514)
- Nicole Gunderson (ORCID: https://orcid.org/0000-0003-1572-0273)
- Pengcheng Chen (ORCID: https://orcid.org/0000-0001-7473-1285)
Institutions
- University of Washington (US)
Publication Details
- Journal
- International Forum of Allergy & Rhinology
- Published
- 2025-08-22
- DOI
- https://doi.org/10.1002/alr.70000
- Primary Topic
- Augmented Reality Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health