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International Journal of Medical Robotics and Computer Assisted Surgery最新文献

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i-MYO: A multi-grasp prosthetic hand control system based on gaze movements, augmented reality, and myoelectric signals i-MYO:基于凝视运动、增强现实技术和肌电信号的多抓假手控制系统
IF 2.5 3区 医学 Q1 Medicine Pub Date : 2023-12-30 DOI: 10.1002/rcs.2617
Chunyuan Shi, Jingdong Zhao, Dapeng Yang, Li Jiang

Background

Controlling a multi-grasp prosthetic hand still remains a challenge. This study explores the influence of merging gaze movements and augmented reality in bionics on improving prosthetic hand control.

Methods

A control system based on gaze movements, augmented reality, and myoelectric signals (i-MYO) was proposed. In the i-MYO, the GazeButton was introduced into the controller to detect the grasp-type intention from the eye-tracking signals, and the proportional velocity scheme based on the i-MYO was used to control hand movement.

Results

The able-bodied subjects with no prior training successfully transferred objects in 91.6% of the cases and switched the optimal grasp types in 97.5%. The patient could successfully trigger the EMG to control the hand holding the objects in 98.7% of trials in around 3.2 s and spend around 1.3 s switching the optimal grasp types in 99.2% of trials.

Conclusions

Merging gaze movements and augmented reality in bionics can widen the control bandwidth of prosthetic hand. With the help of i-MYO, the subjects can control a prosthetic hand using six grasp types if they can manipulate two muscle signals and gaze movement.

控制多抓假手仍然是一项挑战。本研究探讨了在仿生学中融合凝视运动和增强现实技术对改善假手控制的影响。
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引用次数: 0
An magnetic resonance conditional robot for lumbar spinal injection: Development and preliminary validation 用于腰椎注射的磁共振条件机器人:开发和初步验证
IF 2.5 3区 医学 Q1 Medicine Pub Date : 2023-12-28 DOI: 10.1002/rcs.2618
Depeng Liu, Gang Li, Shuyuan Wang, Zixuan Liu, Yanzhou Wang, Laura Connolly, David E. Usevitch, Guofeng Shen, Kevin Cleary, Iulian Iordachita

Purpose

This work presents the design and preliminary validation of a Magnetic Resonance (MR) conditional robot for lumbar injection for the treatment of lower back pain.

Methods

This is a 4-degree-of-freedom (DOF) robot that is 200 × 230 × 130 mm3 in volume and has a mass of 0.8 kg. Its lightweight and compact features allow it to be directly affixed to patient's back, establishing a rigid connection, thus reducing positional errors caused by patient movements during treatment.

Results

To validate the positioning accuracy of the needle by the robot, an electromagnetic (EM) tracking system and a needle with an EM sensor embedded in the tip were used for the free space evaluation with position accuracy of 0.88 ± 0.46 mm and phantom mock insertions using the Loop-X CBCT scanner with target position accuracy of 3.62 ± 0.92 mm.

Conclusion

Preliminary experiments demonstrated that the proposed robot showed improvements and benefits in its rotation range, flexible needle adjustment, and sensor protection compared with previous and existing systems, offering broader clinical applications.

这项研究介绍了一种磁共振(MR)条件机器人的设计和初步验证,该机器人用于腰部注射治疗下背痛。
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引用次数: 0
Transformer-based 2D/3D medical image registration for X-ray to CT via anatomical features 基于变压器的二维/三维医学图像配准,通过解剖学特征将 X 光片配准到 CT
IF 2.5 3区 医学 Q1 Medicine Pub Date : 2023-12-28 DOI: 10.1002/rcs.2619
Feng Qu, Min Zhang, Weili Shi, Wei He, Zhengang Jiang

Background

2D/3D medical image registration is one of the key technologies for surgical navigation systems to perform pose estimation and achieve accurate positioning, which still remains challenging. The purpose of this study is to introduce a new method for X-ray to CT 2D/3D registration and conduct a feasibility study.

Methods

In this study, a 2D/3D affine registration method based on feature point detection is investigated. It combines the morphological and edge features of spinal images to accurately extract feature points from the images, and uses graph neural networks to aggregate anatomical features of different points to increase the local detail information. Meanwhile, global and positional information are extracted by the Swin Transformer.

Results

The results indicate that the proposed method has shown improvements in both accuracy and success ratio compared with other methods. The mean target registration error value reached up to 0.31 mm; meanwhile, the runtime overhead was much lower, achieving an average runtime of about 0.6 s. This ultimately improves the registration accuracy and efficiency, demonstrating the effectiveness of the proposed method.

Conclusions

The proposed method can provide more comprehensive image information and shows good prospects for pose estimation and achieving accurate positioning in surgical navigation systems.

二维/三维医学影像配准是手术导航系统进行姿态估计和实现精确定位的关键技术之一,但这一技术仍具有挑战性。本研究旨在介绍一种新的 X 射线到 CT 2D/3D 配准方法,并进行可行性研究。
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引用次数: 0
Robotic-assisted burring in total hip replacement: A new surgical technique to optimise acetabular preparation 全髋关节置换术中的机器人辅助钻孔:优化髋臼准备的新手术技术
IF 2.5 3区 医学 Q1 Medicine Pub Date : 2023-12-28 DOI: 10.1002/rcs.2615
Tiancheng Li, Peter Walker, Richardo Khonasty, Victor A. van de Graaf, Eric Yelf, Liang Zhao, Shoudong Huang

Background

In Total Hip replacement (THR) surgery, a critical step is to cut an accurate hemisphere into the acetabulum so that the component can be fitted accurately and obtain early stability. This study aims to determine whether burring rather than reaming the acetabulum can achieve greater accuracy in the creation of this hemisphere.

Methods

A preliminary robotic system was developed to demonstrate the feasibility of burring the acetabulum using the Universal Robot (UR10). The study will describe mechanical design, robot trajectory optimisation, control algorithm development, and results from phantom experiments compared with both robotic reaming and conventional reaming. The system was also tested in a cadaver experiment.

Results

The proposed robotic burring system can produce a surface in 2 min with an average error of 0.1 and 0.18 mm, when cutting polyurethane bone block #15 and #30, respectively. The performance was better than robotic reaming and conventional hand reaming.

Conclusion

The proposed robotic burring system outperformed robotic and conventional reaming methods to produce an accurate acetabular cavity. The findings show the potential usage of a robotic-assisted burring in THR for acetabular preparation.

在全髋关节置换(THR)手术中,一个关键步骤是在髋臼上切割出准确的半球形,以便准确安装组件并获得早期稳定性。本研究旨在确定在制作半球时,镗孔而非铰孔是否能获得更高的精确度。
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引用次数: 0
Accuracy and risk factors of Magerl screw placement in robot-assisted atlantoaxial surgery: A case series study 机器人辅助寰枢椎手术中 Magerl 螺钉置入的准确性和风险因素:病例系列研究
IF 2.5 3区 医学 Q1 Medicine Pub Date : 2023-12-28 DOI: 10.1002/rcs.2603
Wu Jiayuan, Wei Yi, Duan Fangfang, He Da, Jiang Xieyuan, Tian Wei

Background

To assess the accuracy of robot-assisted Magerl screw placement and explore the factors affecting the accuracy.

Methods

A retrospective analysis of patients who underwent robot-assisted Magerl screw placement was performed. The accuracy of Magerl screw placement was evaluated according to the Gertzbein and Robbins scale.

Results

47 Magerl screws were placed in 24 consecutive patients. 32 Magerl screws were narrower than the C2 isthmus height and 26 of them were grade A. 15 Magerl screws were wider than the C2 isthmus height and all of them were grade B. Temporary fixation after decompression and a smaller difference between the C2 isthmus height and screw diameter were associated with a higher probability of cortical breach.

Conclusion

The accuracy of robot-assisted Magerl screw placement was excellent. Temporary fixation after decompression and a smaller difference between the C2 isthmus height and screw diameter increased the risk of cortical breach.

评估机器人辅助 Magerl 螺钉置入的准确性,并探讨影响准确性的因素。
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引用次数: 0
Design and evaluation of a wearable vascular interventional surgical robot system 可穿戴式血管介入手术机器人系统的设计与评估。
IF 2.5 3区 医学 Q1 Medicine Pub Date : 2023-12-22 DOI: 10.1002/rcs.2616
Haoyang Yu, Hongbo Wang, Yu Rong, Junyu Fang, Jianye Niu

Background

Remote-controlled robotic vascular interventional surgery can reduce radiation exposure to interventional physicians and improve safety. However, inconvenient operation and lack of force feedback limit its application.

Materials and Methods

A new wearable robotic system for vascular interventional surgery is designed, which is more flexible in operation. It ensures the safety of surgery through haptic force feedback. The system was evaluated by human vascular models and animal experiments.

Results

The average static error of the system is 0.048 mm when the axial motion is 250 mm and 1.259° when the rotational motion is 400°. The average error of the force feedback is 0.021 N. The results of vascular model experiments and animal experiments demonstrate the feasibility and safety of the system.

Conclusions

The proposed robotic system can assist physicians in remotely delivering standard catheters or guidewires. The system is more flexible and uses haptic force feedback to ensure surgical safety.

背景:遥控机器人血管介入手术可减少介入医生的辐射暴露并提高安全性。然而,操作不便和缺乏力反馈限制了其应用:设计了一种新型可穿戴式血管介入手术机器人系统,其操作更加灵活。材料:设计了一种用于血管介入手术的新型可穿戴机器人系统,该系统操作更灵活,通过触觉力反馈确保手术安全。该系统通过人体血管模型和动物实验进行了评估:结果:当轴向运动为 250 mm 时,系统的平均静态误差为 0.048 mm;当旋转运动为 400° 时,系统的平均静态误差为 1.259°;力反馈的平均误差为 0.021 N:结论:拟议的机器人系统可协助医生远程递送标准导管或导丝。该系统更加灵活,并利用触觉力反馈确保手术安全。
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引用次数: 0
Experiences of robot assisted thrombectomy with 2-year follow-up 机器人辅助血栓切除术的两年随访经验。
IF 2.5 3区 医学 Q1 Medicine Pub Date : 2023-12-22 DOI: 10.1002/rcs.2611
Gong Cheng, Xiaoping Zhang

Background

No consensus has been reached on operative procedures since a limited case series of robot-assisted inferior vena cava thrombectomy (RA-IVCT) and robot-assisted radical nephrectomy (RA-RN) have been described.

Methods

The clinical data of 21 patients who underwent RA-IVCT and RA-RN were retrieved from the database. Preoperative preparation was used for assessment of the tumour. Surgical procedures were recorded, and operative skills were summarised.

Results

The median IVC clamping time was 23 min, and IVC wall invasion was pathologically found in 2 cases. The mean postoperative hospital stay was 8.4 days and most patients recovered to full ambulation and oral feeding on the fourth day. None of the patients had liver or kidney dysfunction at the last follow-up (median, 24 months).

Conclusion

RA-IVCT presents technical challenges to surgeons. IVC control is an important part of the surgical process and different sides require different techniques.

背景:自机器人辅助下腔静脉血栓切除术(RA-IVCT)和机器人辅助根治性肾切除术(RA-RN)的有限病例系列描述以来,尚未就手术程序达成共识:方法:从数据库中检索了21例接受RA-IVCT和RA-RN手术患者的临床数据。术前准备用于评估肿瘤。记录手术过程,总结手术技巧:中位 IVC 夹闭时间为 23 分钟,2 例病理发现 IVC 壁侵犯。术后平均住院时间为 8.4 天,大多数患者在术后第四天就能完全下地活动并进食。最后一次随访(中位 24 个月)时,没有一名患者出现肝肾功能障碍:结论:RA-IVCT给外科医生带来了技术挑战。结论:RA-IVCT给外科医生带来了技术挑战,IVC控制是手术过程的重要组成部分,不同侧需要不同的技术。
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引用次数: 0
Preliminary study of a new macro-micro robot system for dental implant surgery: Design, development and control 用于牙科植入手术的新型宏微型机器人系统的初步研究:设计、开发和控制
IF 2.5 3区 医学 Q1 Medicine Pub Date : 2023-12-21 DOI: 10.1002/rcs.2614
Yan Wang, Wei Wang, Yueri Cai, Qiming Zhao, Yuyang Wang

Background

This study aims to develop a new dental implant robotic system (DIRS) to relieve the burden and enhance the quality of dental implant surgery.

Methods

The implanting actuator and system controller are two parts. The implanting actuator is designed on the basis of the RCM mechanism, with its kinematics modelled. Besides, a multi-DOF admittance control strategy and a hybrid position-admittance control strategy were designed, endowing the actuator with environmental compliance.

Results

In force sensing, about 97% of mixed force/torque are eliminated. Then, 30 groups of implantation are done, of which 15 groups are simple implantation, while another 15 groups are force-based implantation. The results show that the average contact force/torque can be reduced by 73.03% and 62.66%, and the peak contact force/torque can be reduced by 68.26% and 50.46%.

Conclusions

The results of preliminary experiments validate the effectiveness of DIRS, which has great potential to assist dentists with higher efficiency, better quality, and lower burden.

本研究旨在开发一种新型牙科植入机器人系统(DIRS),以减轻牙科植入手术的负担并提高其质量。
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引用次数: 0
A spatial registration method based on 2D–3D registration for an augmented reality spinal surgery navigation system 用于增强现实脊柱手术导航系统的基于 2D-3D 注册的空间注册方法。
IF 2.5 3区 医学 Q1 Medicine Pub Date : 2023-12-19 DOI: 10.1002/rcs.2612
Jingqi Zhang, Zhiyong Yang, Shan Jiang, Zeyang Zhou

Background

In order to provide accurate and reliable image guidance for augmented reality (AR) spinal surgery navigation, a spatial registration method has been proposed.

Methods

In the AR spinal surgery navigation system, grayscale-based 2D/3D registration technology has been used to register preoperative computed tomography images with intraoperative X-ray images to complete the spatial registration, and then the fusion of virtual image and real spine has been realised.

Results

In the image registration experiment, the success rate of spine model registration was 90%. In the spinal model verification experiment, the surface registration error of the spinal model ranged from 0.361 to 0.612 mm, and the total average surface registration error was 0.501 mm.

Conclusion

The spatial registration method based on 2D/3D registration technology can be used in AR spinal surgery navigation systems and is highly accurate and minimally invasive.

背景:为了给增强现实(AR)脊柱手术导航提供准确可靠的图像引导,有人提出了一种空间配准方法:方法:在增强现实脊柱手术导航系统中,采用基于灰度的二维/三维配准技术,将术前计算机断层扫描图像与术中X光图像进行配准,完成空间配准,然后实现虚拟图像与真实脊柱的融合:结果:在图像配准实验中,脊柱模型配准的成功率为 90%。在脊柱模型验证实验中,脊柱模型的表面配准误差在 0.361 至 0.612 毫米之间,总平均表面配准误差为 0.501 毫米:结论:基于二维/三维配准技术的空间配准方法可用于 AR 脊柱手术导航系统,具有高精度和微创的特点。
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引用次数: 0
Real-time auto-segmentation of the ureter in video sequences of gynaecological laparoscopic surgery 妇科腹腔镜手术视频序列中输尿管的实时自动分割。
IF 2.5 3区 医学 Q1 Medicine Pub Date : 2023-12-19 DOI: 10.1002/rcs.2604
Zhixiang Wang, Chongdong Liu, Zhen Zhang, Yupeng Deng, Meizhu Xiao, Zhiqiang Zhang, Andre Dekker, Shuzhen Wang, Yujiang Liu, LinXue Qian, Zhenyu Zhang, Alberto Traverso, Ying Feng

Background

Ureteral injury is common during gynaecological laparoscopic surgery. Real-time auto-segmentation can assist gynaecologists in identifying the ureter and reduce intraoperative injury risk.

Methods

A deep learning segmentation model was crafted for ureter recognition in surgical videos, utilising 3368 frames from 11 laparoscopic surgeries. Class activation maps enhanced the model's interpretability, showing its areas. The model's clinical relevance was validated through an End-User Turing test and verified by three gynaecological surgeons.

Results

The model registered a Dice score of 0.86, a Hausdorff 95 distance of 22.60, and processed images in 0.008 s on average. In complex surgeries, it pinpointed the ureter's position in real-time. Fifty five surgeons across eight institutions found the model's accuracy, specificity, and sensitivity comparable to human performance. Yet, artificial intelligence experience influenced some subjective ratings.

Conclusions

The model offers precise real-time ureter segmentation in laparoscopic surgery and can be a significant tool for gynaecologists to mitigate ureteral injuries.

背景:输尿管损伤在妇科腹腔镜手术中很常见。实时自动分割可以帮助妇科医生识别输尿管,降低术中损伤风险:方法:利用 11 例腹腔镜手术中的 3368 个帧,制作了一个深度学习分割模型,用于识别手术视频中的输尿管。类激活图增强了模型的可解释性,显示了模型的区域。最终用户图灵测试验证了该模型的临床相关性,并由三位妇科外科医生进行了验证:结果:该模型的 Dice 得分为 0.86,Hausdorff 95 距离为 22.60,处理图像的平均时间为 0.008 秒。在复杂手术中,它能实时精确定位输尿管的位置。八家机构的 55 名外科医生认为,该模型的准确性、特异性和灵敏度与人类的表现相当。然而,人工智能经验影响了一些主观评价:该模型可在腹腔镜手术中实时精确地分割输尿管,是妇科医生减轻输尿管损伤的重要工具。
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引用次数: 0
期刊
International Journal of Medical Robotics and Computer Assisted Surgery
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