Evidence map›Paper›PMID 34363583›Full record

ArticleInternational journal of computer assisted radiology and surgery2021

Augmented reality-based autostereoscopic surgical visualization system for telesurgery.

Tianqi Huang, Ruiyang Li, Yangxi Li, Xinran Zhang, Hongen Liao

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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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5citing papers in PubMed
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1 · What the graph read from it

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Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Tianqi Huang *Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
Ruiyang Li *Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
Yangxi LiDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
Xinran ZhangDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China.
Hongen LiaoDepartment of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China. liao@tsinghua.edu.cn.ORCID http://orcid.org/0000-0003-3847-9347

Funding

Beijing Municipal Natural Science Foundation 7212202National Natural Science Foundation of China 81771940National Natural Science Foundation of China 82027807Tsinghua University Initiative Scientific Research Program 20197020014
6 · The paper itself

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.

Indexed as

Augmented RealityRobotic Surgical ProceduresSurgery, Computer-AssistedAlgorithmsHumansImaging, Three-Dimensional3D interactive visualizationAugmented realityAutostereoscopic displayPercutaneous proceduresTelesurgery

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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.