mlsanityData to 14 Oct 2026

Toward surface-based registration of a virtual preoperative cutting guide onto the mandible for reconstruction surgery

arXiv 2608.06599 ↗First posted 6 Aug 2026cs.CV cs.ETcited by 0

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Abstract (arXiv)

Mandibular reconstruction restores facial continuity and oral function after segmental resection. Patient-specific cutting guides transfer a computed tomography (CT)-based plan to the operating room with three-dimensional information, but printed guides add cost and lead time, cannot adapt after fabrication, and may interrupt surgery if sterility is lost. We investigate a markerless augmented reality (AR) alternative that registers a virtual cutting guide to the exposed mandible from surface geometry. The method extends surface-based registration for the transoral setting, where teeth form the most distinctive visible surface. After camera calibration, a HoloLens 2 time-of-flight camera captures a partial intraoperative point cloud. The user supplies a rough head-based alignment only to crop the region of interest. A teeth-weighted global stage computes correspondences and solves a truncated least-squares rigid alignment. An asymmetric point-to-plane iterative closest point (ICP) stage refines the complete CT mandible against the partial depth cloud target. The guide-to-mandible transform places the guide in the HoloLens world frame, while pose updates and interpolation follow target motion. We define a blinded phantom protocol with 30 target registration error (TRE) points under full, intermediate, and teeth-only exposure, plus a motion-to-display latency test. Our median TRE is 4.05, 6.10, and 7.10 mm respectively, and median latency is 0.805 s. These values support the feasibility of using AR to replace physical prints. The workflow removes mounted fiducials and manual landmark selection and provides a testable path toward transoral cutting guidance.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 5 of its 11 references that are in the map. First posted on arXiv 6 Aug 2026.

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References · 5

  1. 2020TEASER: Fast and Certifiable Point Cloud Registrationcited by 274
  2. 2020Fast and Robust Iterative Closest Pointcited by 67
  3. 2025EasyREG: Easy Depth-Based Markerless Registration and Tracking using Augmented Reality Device for Surgical Guidancecited by 6
  4. 2025Markerless Augmented Reality Registration for Surgical Guidance: A Multi-Anatomy Clinical Accuracy Studycited by 2
  5. 2026All-in-One Augmented Reality Guided Head and Neck Tumor Resectioncited by 2

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