ArticleInternational journal of computer assisted radiology and surgery2023
Robot-assisted ultrasound reconstruction for spine surgery: from bench-top to pre-clinical study.
Article in International journal of computer assisted radiology and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 24 citations in OpenAlex.
- Updates in ultrasound-guided musculoskeletal interventions.The British journal of radiology · 2026Review
- Phantom experiment for thoracic spine gap delineation using steering-transmitted ultrasound to assist epidural anesthesia.Journal of medical ultrasonics (2001) · 2026Article
- Markerless 3D ultrasound reconstruction for augmented reality assisted minimally invasive spine surgery.International journal of computer assisted radiology and surgery · 2026Article
- Technical challenges in autonomous robotic ultrasound examinations: perception, planning, and control.Journal of robotic surgery · 2026Review
- SurgPointTransformer: transformer-based vertebra shape completion using RGB-D imaging.Computer assisted surgery (Abingdon, England) · 2025Article
- A large, paired dataset of robotic and handheld lumbar spine ultrasound with ground-truth CT benchmarking.Scientific data · 2025Article
- Beyond traditional orthopaedic data analysis: AI, multimodal models and continuous monitoring.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2025Review
- A method for mimicking tumour tissue in brain ex-vivo ultrasound for research application and clinical training.Acta neurochirurgica · 2025Article
Corrections and comments
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Authors and funding
12 authors at 4 institutions in 3 countries.
Funding
Abstract
purposeRobot-assisted ultrasound (rUS) systems have already been used to provide non-radiative three-dimensional (3D) reconstructions that form the basis for guiding spine surgical procedures. Despite promising studies on this technology, there are few studies that offer insight into the robustness and generality of the approach by verifying performance in various testing scenarios. Therefore, this study aims at providing an assessment of a rUS system, with technical details from experiments starting at the bench-top to the pre-clinical study.
methodsA semi-automatic control strategy was proposed to ensure continuous and smooth robotic scanning. Next, a U-Net-based segmentation approach was developed to automatically process the anatomic features and derive a high-quality 3D US reconstruction. Experiments were conducted on synthetic phantoms and human cadavers to validate the proposed approach.
resultsAverage deviations of scanning force were found to be 2.84±0.45 N on synthetic phantoms and to be 5.64±1.10 N on human cadavers. The anatomic features could be reliably reconstructed at mean accuracy of 1.28±0.87 mm for the synthetic phantoms and of 1.74±0.89 mm for the human cadavers.
conclusionThe results and experiments demonstrate the feasibility of the proposed system in a pre-clinical setting. This work is complementary to previous work, encouraging further exploration of the potential of this technology in in vivo studies.
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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.