Real‐time motion tracking in image‐guided oral implantology

Chen, Xiaojun; Lin, Yi; Wu, Yiqun; Wang, Chengtao

doi:10.1002/rcs.215

Cited by 14 publications

(7 citation statements)

References 27 publications

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“…After screening the titles and then the abstracts, 47 publications were viewed as full texts. The review of the full texts led to the exclusion of a further 31 publications for the following reasons: deviation measurement with other parameters [22,[28][29][30], does not analyze all deviations [31], zygomatic implants [32,33], different research question [17,[34][35][36][37][38][39][40][41], overview article or literature review [1,11,24,[42][43][44][45][46][47][48], and less then 10 patients/five models or less then 10 implants [23,49,50]. The inclusion criteria were met in nine publications of in vitro studies (Table 2) [20,21,[51][52][53][54][55][56][57].…”

Section: Study Selectionmentioning

confidence: 99%

Accuracy of Dynamic Computer-Assisted Implant Placement: A Systematic Review and Meta-Analysis of Clinical and In Vitro Studies

Schnutenhaus

Edelmann²,

Knipper³

et al. 2021

JCM

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The aim of this systematic review and meta-analysis is to analyze the accuracy of implant placement using computer-assisted dynamic navigation procedures. An electronic literature search was carried out, supplemented by a manual search. The literature search was completed in June 2020. The results of in vitro and clinical studies were recorded separately from each other. For inclusion in the review, the studies had to examine at least the prosthetically relevant parameters for angle deviation, as well as global deviation or lateral deviation at the platform of the implant. Sixteen of 320 articles were included in the investigation: nine in vitro and seven clinical studies. The meta-analysis showed values of 4.1° for the clinical studies (95% CI, 3.12–5.10) and 3.7° for the in vitro studies (95% CI, 2.31–5.10) in terms of the angle deviation. The global deviation at the implant apex of the implant was 1.00 mm for the clinical studies (95% CI, 0.83–1.16) and 0.91 mm for the in vitro studies (95% CI, 0.60–1.12). These values indicate no significant difference between the clinical and in vitro studies. The results of this systematic review show a clinical accuracy of dynamic computer-assisted navigation that is comparable to that of static navigation. However, the dynamic navigation systems show a great heterogeneity that must be taken into account. Moreover, currently there are few clinical data available. Therefore, further investigations into the practicability of dynamic navigation seem necessary.

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Section: Study Selectionmentioning

confidence: 99%

Accuracy of Dynamic Computer-Assisted Implant Placement: A Systematic Review and Meta-Analysis of Clinical and In Vitro Studies

Schnutenhaus

Edelmann²,

Knipper³

et al. 2021

JCM

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“…To do so, the surgical instrument must be slowly pivoted around the tip for approximately half a minute in the Polaris optical tracking system. The offset values can be calculated on the basis of the collected data (about 250 frames regarding the movement of the reference frame) [15]. As for the calibration of the axis of the surgical drill, the drill is inserted into the pre-fabricated axial hole (shown in Figure 2(b)) so that the direction vector of the drill, relative to the coordinate system of the reference frame can be obtained using the algorithms described in reference [15].…”

Section: Methodsmentioning

confidence: 99%

Development of a surgical navigation system based on 3D Slicer for intraoperative implant placement surgery

Chen

Wang

et al. 2017

Medical Engineering & Physics

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Implant placement has been widely used in various kinds of surgery. However, accurate intraoperative drilling performance is essential to avoid injury to adjacent structures. Although some commercially-available surgical navigation systems have been approved for clinical applications, these systems are expensive and the source code is not available to researchers. 3D Slicer is a free, open source software platform for the research community of computer-aided surgery. In this study, a loadable module based on Slicer has been developed and validated to support surgical navigation. This research module allows reliable calibration of the surgical drill, point-based registration and surface matching registration, so that the position and orientation of the surgical drill can be tracked and displayed on the computer screen in real time, aiming at reducing risks. In accuracy verification experiments, the mean target registration error (TRE) for point-based and surface-based registration were 0.31±0.06mm and 1.01±0.06mm respectively, which should meet clinical requirements. Both phantom and cadaver experiments demonstrated the feasibility of our surgical navigation software module.

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“…6 Robot-assisted surgery (RAS) is already being used in many branches of medicine, 7,8 but still relies on the human operator while the robot supports the human action, compensating for our human imperfections like tremor of the hands, 9 often magnified in laparoscopic procedures, or the inability to accurately pinpoint locations in 3D space. 8,[10][11][12][13][14][15][16][17][18] RAS also helps reducing the invasiveness of a surgical procedure. 18 RAS mostly involves specialized systems suitable (only) for the demands and needs for a specific surgical task.…”

Section: Introductionmentioning

confidence: 99%

A safe ex-vivo application of an autonomous medical robot with AI

Cop¹,

Meer

Carloni³

et al. 2022

Preprint

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While most robot platforms in clinical settings are still controlled by a human operator, synergy of robot technology and artificial intelligence will eventually enable fully autonomous surgical robots. Here we show such a combined robot system where neural networks ensure safety for the patient while increasing the accuracy of the system. The system is able to autonomously remove hard material and was tested by drilling a pre-operatively planned access cavity in a predetermined tooth in a phantom head. The performance of the system was validated by a deviation analysis of 56 teeth prepared by the robot system with a Micro CT scanner. The safety level of the system and the response time to potentially hazardous situations was also assessed. The results show that the system is capable of drilling openings in a consistent manner (trueness: 0.34mm, precision: 0.2mm). The neural networks allow the system to detect external forces and visual occlusion and show excellent detection of hazardous situations). The performance of the system surpasses human performance and meets clinical standards.

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Real‐time motion tracking in image‐guided oral implantology

Abstract: The experiment demonstrates the accuracy and reliability of IGOIS. The tracking method can be extended to other surgical navigation systems in various areas.

Cited by 14 publications

References 27 publications

Accuracy of Dynamic Computer-Assisted Implant Placement: A Systematic Review and Meta-Analysis of Clinical and In Vitro Studies

Accuracy of Dynamic Computer-Assisted Implant Placement: A Systematic Review and Meta-Analysis of Clinical and In Vitro Studies

Development of a surgical navigation system based on 3D Slicer for intraoperative implant placement surgery

A safe ex-vivo application of an autonomous medical robot with AI

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