A robotic system for transthoracic puncture of pulmonary nodules based on gated respiratory compensation

成像体模 医学 计算机科学 计算机视觉 过程(计算) 人工智能 放射科 操作系统
作者
Dongyuan Li,Yuxuan Mao,Puxun Tu,Haochen Shi,Weiyan Sun,Deping Zhao,Chang Chen,Xiaojun Chen
出处
期刊:Computer Methods and Programs in Biomedicine [Elsevier BV]
卷期号:244: 107995-107995 被引量:7
标识
DOI:10.1016/j.cmpb.2023.107995
摘要

With the urgent demands for rapid and precise localization of pulmonary nodules in procedures such as transthoracic puncture biopsy and thoracoscopic surgery, many surgical navigation and robotic systems are applied in the clinical practice of thoracic operation. However, current available positioning methods have certain limitations, including high radiation exposure, large errors from respiratory, complicated and time-consuming procedures, etc. To address these issues, a preoperative computed tomography (CT) image-guided robotic system for transthoracic puncture was proposed in this study. Firstly, an algorithm for puncture path planning based on constraints from clinical knowledge was developed. This algorithm enables the calculation of Pareto optimal solutions for multiple clinical targets concerning puncture angle, puncture length, and distance from hazardous areas. Secondly, to eradicate intraoperative radiation exposure, a fast registration method based on preoperative CT and gated respiration compensation was proposed. The registration process could be completed by the direct selection of points on the skin near the sternum using a hand-held probe. Gating detection and joint optimization algorithms are then performed on the collected point cloud data to compensate for errors from respiratory motion. Thirdly, to enhance accuracy and intraoperative safety, the puncture guide was utilized as an end effector to restrict the movement of the optically tracked needle, then risky actions with patient contact would be strictly limited. The proposed system was evaluated through phantom experiments on our custom-designed simulation test platform for patient respiratory motion to assess its accuracy and feasibility. The results demonstrated an average target point error (TPE) of 2.46±0.68 mm and an angle error (AE) of 1.49±0.45° for the robotic system. In conclusion, our proposed system ensures accuracy, surgical efficiency, and safety while also reducing needle insertions and radiation exposure in transthoracic puncture procedures, thus offering substantial potential for clinical application.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刻苦惜萍发布了新的文献求助10
1秒前
SYR完成签到,获得积分10
2秒前
3秒前
www发布了新的文献求助10
5秒前
5秒前
刻苦惜萍完成签到,获得积分20
7秒前
dd的应助被alqb采纳,获得30
8秒前
顺利顺利发布了新的文献求助10
9秒前
科研通AI6.4的应助被yuquan采纳,获得10
9秒前
10秒前
12秒前
14秒前
温柔的曼凝完成签到,获得积分10
14秒前
丘比特的应助被初识采纳,获得10
15秒前
开胃咖喱完成签到,获得积分10
15秒前
ne完成签到 ,获得积分10
15秒前
东起欧发布了新的文献求助10
15秒前
xiaofan完成签到,获得积分10
15秒前
完美世界的应助被lu采纳,获得10
16秒前
如意2023完成签到 ,获得积分10
17秒前
狂炫砂糖柑完成签到,获得积分10
17秒前
任性冥王星完成签到 ,获得积分10
17秒前
聊表纹意完成签到,获得积分10
17秒前
文栀完成签到,获得积分10
17秒前
明理的幻梦完成签到,获得积分20
18秒前
英姑的应助被yanye采纳,获得10
18秒前
至浩完成签到,获得积分10
19秒前
Sulunatic发布了新的文献求助10
19秒前
zgx完成签到,获得积分10
20秒前
凶狠的傲晴完成签到,获得积分10
20秒前
脑洞疼的应助被化学废材采纳,获得10
22秒前
火星上的枕头完成签到,获得积分10
23秒前
幽默的沁发布了新的文献求助20
23秒前
25秒前
www发布了新的文献求助10
25秒前
顾矜的应助被lzh采纳,获得10
25秒前
yiyi完成签到,获得积分10
25秒前
现代术士完成签到,获得积分10
25秒前
HAOS发布了新的文献求助10
27秒前
火星上的西牛完成签到,获得积分10
28秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
Composite Materials Handbook Volume 1 - Revision H 1500
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Organizational Behavior 510
Management and the Arts 510
Decentring Leadership 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7807875
求助须知:如何正确求助?哪些是违规求助? 9340452
关于积分的说明 20501769
捐赠科研通 7400081
什么是DOI,文献DOI怎么找? 3328507
关于科研通互助平台的介绍 2475397
邀请新用户注册赠送积分活动 2346859