ArticleJournal of medical imaging (Bellingham, Wash.)2025
Comprehensive mixed reality surgical navigation system for liver surgery.
Article in Journal of medical imaging (Bellingham, Wash.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Self-contained intraoperative surface acquisition on a mixed-reality headset: a comparison of sensor-based and learning-based reconstruction.Research square · 2026Article
- Toward a Surgical Clip-Based Registration Approach for Aligning Pathology Data to Tumor Bed Using Mixed Reality.Proceedings of SPIE--the International Society for Optical Engineering · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Purpose: Intraoperative liver deformation and the need to glance repeatedly between the operative field and a remote monitor undermine the precision and workflow of image-guided liver surgery. Existing mixed reality (MR) prototypes address only isolated aspects of this challenge and lack quantitative validation in deformable anatomy. Approach: We introduce a fully self-contained MR navigation system for liver surgery that runs on a MR headset and bridges this clinical gap by (1) stabilizing holographic content with an external retro-reflective reference tool that defines a fixed world origin, (2) tracking instruments and surface points in real time with the headset's depth camera, and (3) compensating soft-tissue deformation through a weighted ICP + linearized iterative boundary reconstruction pipeline. A lightweight server-client architecture streams deformation-corrected 3D models to the headset and enables hands-free control via voice commands. Results: Validation on a multistate liver-phantom protocol demonstrated that the reference tool reduced mean hologram drift from Conclusions: By unifying stable MR visualization, tool tracking, and biomechanical deformation correction in a single headset, the proposed platform eliminates monitor-related context switching and restores spatial fidelity lost to liver motion. The device-agnostic framework is extendable to open approaches and potentially laparoscopic workflows and other soft-tissue interventions, marking a significant step toward MR-enabled surgical navigation.
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Registered trials
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