ArticleInternational journal of computer assisted radiology and surgery2021
Augmented reality-based autostereoscopic surgical visualization system for telesurgery.
Article in International journal of computer assisted radiology and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Research on the application of computer-assisted surgical technology in ophthalmic plastic surgery education.BMC medical education · 2025Trial
- Toward safe clinical deployment of remote robotic surgery in Japan: five-year validation of the hinotori™ system using 5G wireless communication.International journal of clinical oncology · 2025Review
- History of medical education in neurosurgical training: moving from illustrations and cadaver dissections to virtual simulation.Annals of medicine and surgery (2012) · 2025Review
- Global trends and insights of telesurgery research: a bibliometric analysis of publications since the 21st century.Surgical endoscopy · 2025Article
- Realizing the Potential of Computer-Assisted Surgery by Embedding Digital Twin Technology.JMIR medical informatics · 2022Article
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Authors and funding
5 authors.
Funding
Abstract
purposeThe visualization of remote surgical scenes is the key to realizing the remote operation of surgical robots. However, current non-endoscopic surgical robot systems lack an effective visualization tool to offer sufficient surgical scene information and depth perception.
methodsWe propose a novel autostereoscopic surgical visualization system integrating 3D intraoperative scene reconstruction, autostereoscopic 3D display, and augmented reality-based image fusion. The preoperative organ structure and the intraoperative surface point cloud are obtained from medical imaging and the RGB-D camera, respectively, and aligned by an automatic marker-free intraoperative registration algorithm. After registration, preoperative meshes with precalculated illumination and intraoperative textured point cloud are blended in real time. Finally, the fused image is shown on a 3D autostereoscopic display device to achieve depth perception.
resultsA prototype of the autostereoscopic surgical visualization system was built. The system had a horizontal image resolution of 1.31 mm, a vertical image resolution of 0.82 mm, an average rendering rate of 33.1 FPS, an average registration rate of 20.5 FPS, and average registration errors of approximately 3 mm. A telesurgical robot prototype based on 3D autostereoscopic display was built. The quantitative evaluation experiments showed that our system achieved similar operational accuracy (1.79 ± 0.87 mm) as the conventional system (1.95 ± 0.71 mm), while having advantages in terms of completion time (with 34.11% reduction) and path length (with 35.87% reduction). Post-experimental questionnaires indicated that the system was user-friendly for novices and experts.
conclusionWe propose a 3D surgical visualization system with augmented instruction and depth perception for telesurgery. The qualitative and quantitative evaluation results illustrate the accuracy and efficiency of the proposed system. Therefore, it shows great prospects in robotic surgery and telesurgery.
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