All-in-One Augmented Reality Guided Head and Neck Tumor Resection
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866908924866723840 |
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| author | Yang, Yue Chabanas, Matthieu Reale, Carrie Benson, Annie Slagle, Jason Weinger, Matthew Topf, Michael Wu, Jie Ying |
| author_facet | Yang, Yue Chabanas, Matthieu Reale, Carrie Benson, Annie Slagle, Jason Weinger, Matthew Topf, Michael Wu, Jie Ying |
| contents | Positive margins are common in head and neck squamous cell carcinoma, yet intraoperative re-resection is often imprecise because margin locations are typically communicated verbally from pathology. We present an all-in-one augmented reality (AR) system that relocalizes positive margins from a resected specimen to the resection bed and visualizes them in situ using HoloLens 2 depth sensing and fully automated markerless surface registration. In a silicone phantom study with six medical trainees, markerless registration achieved target registration errors comparable to a marker-based baseline (median 1.8 mm vs. 1.7 mm; maximum < 4 mm). In a margin relocalization task, AR guidance reduced error from verbal guidance (median 14.2 mm) to a few millimeters (median 3.2 mm), with all AR localizations within 5 mm error. These results support the feasibility of markerless AR margin guidance for more precise intraoperative re-excision. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_29495 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | All-in-One Augmented Reality Guided Head and Neck Tumor Resection Yang, Yue Chabanas, Matthieu Reale, Carrie Benson, Annie Slagle, Jason Weinger, Matthew Topf, Michael Wu, Jie Ying Computer Vision and Pattern Recognition Emerging Technologies Human-Computer Interaction Positive margins are common in head and neck squamous cell carcinoma, yet intraoperative re-resection is often imprecise because margin locations are typically communicated verbally from pathology. We present an all-in-one augmented reality (AR) system that relocalizes positive margins from a resected specimen to the resection bed and visualizes them in situ using HoloLens 2 depth sensing and fully automated markerless surface registration. In a silicone phantom study with six medical trainees, markerless registration achieved target registration errors comparable to a marker-based baseline (median 1.8 mm vs. 1.7 mm; maximum < 4 mm). In a margin relocalization task, AR guidance reduced error from verbal guidance (median 14.2 mm) to a few millimeters (median 3.2 mm), with all AR localizations within 5 mm error. These results support the feasibility of markerless AR margin guidance for more precise intraoperative re-excision. |
| title | All-in-One Augmented Reality Guided Head and Neck Tumor Resection |
| topic | Computer Vision and Pattern Recognition Emerging Technologies Human-Computer Interaction |
| url | https://arxiv.org/abs/2603.29495 |