ArticleInternational journal of computer assisted radiology and surgery2025
Real-time ultrasound AR 3D visualization toward better topological structure perception for hepatobiliary surgery.
Article in International journal of computer assisted radiology and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Intraoperative ultrasound-based brain tumor segmentation with boundary-overlay visualization for surgical assistance.International journal of computer assisted radiology and surgery · 2026Article
- Augmented intelligence in "robotic" liver surgery: Integrating augmented reality and artificial intelligence for real-time navigation and margin precision.World journal of gastrointestinal surgery · 2026Review
- Visual marker-based augmented reality for intraoperative ultrasound in minimally invasive surgery.Surgical endoscopy · 2025Observational
- Current AI technologies in cancer diagnostics and treatment.Molecular cancer · 2025Review
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Authors and funding
7 authors.
Funding
Abstract
purposeUltrasound serves as a crucial intraoperative imaging tool for hepatobiliary surgeons, enabling the identification of complex anatomical structures like blood vessels, bile ducts, and lesions. However, the reliance on manual mental reconstruction of 3D topologies from 2D ultrasound images presents significant challenges, leading to a pressing need for tools to assist surgeons with real-time identification of 3D topological anatomy.
methodsWe propose a real-time ultrasound AR 3D visualization method for intraoperative 2D ultrasound imaging. Our system leverages backward alpha blending to integrate multi-planar ultrasound data effectively. To ensure continuity between 2D ultrasound planes, we employ spatial smoothing techniques to interpolate the widely spaced ultrasound planes. A dynamic 3D transfer function is also developed to enhance spatial representation through color differentiation.
resultsComparative experiments involving our AR visualization of 3D ultrasound, alongside AR visualization of 2D ultrasound and 2D visualization of 3D ultrasound, demonstrated that the proposed method significantly reduced operational time(110.25 ± 27.83 s compared to 292 ± 146.63 s and 365.25 ± 131.62 s), improved depth perception and comprehension of complex topologies, contributing to reduced pressure and increased personal satisfaction among users.
conclusionQuantitative experimental results and feedback from both novice and experienced physicians highlight our system's exceptional ability to enhance the understanding of complex topological anatomy. This improvement is crucial for accurate ultrasound diagnosis and informed surgical decision-making, underscoring the system's clinical applicability.
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Registered trials
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