ArticleInternational journal of computer assisted radiology and surgery2022
Automatic, global registration in laparoscopic liver surgery.
Article in International journal of computer assisted radiology and surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.
- How is 3D modeling in metabolic surgery utilized and what is its clinical benefit: a systematic review and meta-analysis.International journal of surgery (London, England) · 2025Pooled it
- GDLS-D: two-stage medical surface reconstruction via geometric diffusion least squares and iterative deformation optimization.Medical & biological engineering & computing · 2026Article
- Dual-Expert Landmark Localization in 3D Facial Point Clouds Under Controlled Synthetic Local Surface Loss for Rigid Initialization.Sensors (Basel, Switzerland) · 2026Article
- Subsampled randomized Fourier GaLore for adapting foundation models in depth-driven liver landmark segmentation.International journal of computer assisted radiology and surgery · 2026Article
- Warm-started reinforcement learning for iterative 3D/2D liver registration.International journal of computer assisted radiology and surgery · 2026Article
- GeoTranMesh: a geometry-guided multi-branch mesh transformer for 3d liver segmentation.International journal of computer assisted radiology and surgery · 2026Article
- Resolving the Ambiguity of Complete-to-Partial Point Cloud Registration for Image-Guided Liver Surgery With Patches-to-Partial Matching.IEEE journal of biomedical and health informatics · 2026Article
- Liver mask-guided SAM-enhanced dual-decoder network for landmark segmentation in AR-guided surgery.International journal of computer assisted radiology and surgery · 2026Article
- Non-rigid image-volume registration for human livers in laparoscopic surgery.Quantitative imaging in medicine and surgery · 2025Article
- Assessing augmented reality displays in laparoscopic liver surgery - a clinical experience.Surgical endoscopy · 2025Article
- Leveraging augmented reality for dynamic guidance in 3-dimensional laparoscopic and robotic liver surgery: a prospective case series study.Annals of surgical treatment and research · 2025Article
- Two-stream MeshCNN for key anatomical segmentation on the liver surface.International journal of computer assisted radiology and surgery · 2025Article
- MIS-NeRF: neural radiance fields in minimally-invasive surgery.International journal of computer assisted radiology and surgery · 2025Article
- An augmented reality overlay for navigated prostatectomy using fiducial-free 2D-3D registration.International journal of computer assisted radiology and surgery · 2025Article
- Neural patient-specific 3D-2D registration in laparoscopic liver resection.International journal of computer assisted radiology and surgery · 2025Article
- Benchmarking complete-to-partial point cloud registration techniques for laparoscopic surgery.Frontiers in robotics and AI · 2025Article
- Intraoperative Registration by Cross-Modal Inverse Neural Rendering.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024Article
- Can engineers represent surgeons in usability studies? Comparison of results from evaluating augmented reality guidance for laparoscopic surgery.Computers & graphics · 2024Article
- The value of Augmented Reality in surgery - A usability study on laparoscopic liver surgery.Medical image analysis · 2023Article
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Corrections and comments
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
Abstract
purposeThe initial registration of a 3D pre-operative CT model to a 2D laparoscopic video image in augmented reality systems for liver surgery needs to be fast, intuitive to perform and with minimal interruptions to the surgical intervention. Several recent methods have focussed on using easily recognisable landmarks across modalities. However, these methods still need manual annotation or manual alignment. We propose a novel, fully automatic pipeline for 3D-2D global registration in laparoscopic liver interventions.
methodsFirstly, we train a fully convolutional network for the semantic detection of liver contours in laparoscopic images. Secondly, we propose a novel contour-based global registration algorithm to estimate the camera pose without any manual input during surgery. The contours used are the anterior ridge and the silhouette of the liver.
resultsWe show excellent generalisation of the semantic contour detection on test data from 8 clinical cases. In quantitative experiments, the proposed contour-based registration can successfully estimate a global alignment with as little as 30% of the liver surface, a visibility ratio which is characteristic of laparoscopic interventions. Moreover, the proposed pipeline showed very promising results in clinical data from 5 laparoscopic interventions.
conclusionsOur proposed automatic global registration could make augmented reality systems more intuitive and usable for surgeons and easier to translate to operating rooms. Yet, as the liver is deformed significantly during surgery, it will be very beneficial to incorporate deformation into our method for more accurate registration.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.