MICCAI ’24 (Workshop) Healthcare Technology Letters, vol. 11, no. 2–3, pp. 93–100 · IET, 2024
This work explores an augmented reality (AR) guidance system for resecting positive tumour margins in head and neck cancer surgery. A 3D scanner captures detailed scans of resected tissue, which are reconstructed into holograms viewable through a head-mounted AR display. By re-aligning these holograms with the cadaver using gestures or voice commands, surgeons can navigate the head and neck tumour site—a workflow that can run concurrently with frozen section analysis, achieving a mean re-alignment error of 3.1 mm.
MICCAI ’25 Medical Image Computing and Computer Assisted Intervention (MICCAI 2025), Lecture Notes in Computer Science, pp. 45–54 · Springer, 2025
This paper proposes a deformable registration framework that uses both the pre-resection external surface and the post-resection cavity of a specimen to incorporate thickness information when relocating positive margins in head and neck tumor resection. In tongue specimens the framework improves target registration error by up to 33% over using the cavity alone. Integrated into an augmented reality guidance system, it automatically overlays the deformed 3D specimen mesh with positive-margin annotations onto the resection cavity, reducing average relocation error from 9.8 mm to 4.8 mm in a pilot study.
