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
刚刚
NexusExplorer应助Cc采纳,获得10
刚刚
LLL发布了新的文献求助10
刚刚
黄政超发布了新的文献求助10
刚刚
1秒前
1秒前
Tian发布了新的文献求助10
1秒前
gmh253完成签到,获得积分10
1秒前
1秒前
科研通AI6.2应助Yu采纳,获得10
2秒前
zzz发布了新的文献求助50
3秒前
3秒前
一个西瓜发布了新的文献求助10
6秒前
6秒前
19发布了新的文献求助10
6秒前
8秒前
剑过无声发布了新的文献求助10
8秒前
8秒前
tcc完成签到,获得积分10
9秒前
9秒前
上官若男应助Hihmm采纳,获得10
10秒前
长情奇异果完成签到,获得积分10
10秒前
10秒前
11秒前
路口放大完成签到,获得积分20
11秒前
11秒前
Lousia发布了新的文献求助10
12秒前
xs发布了新的文献求助10
12秒前
Liuying2809完成签到,获得积分10
14秒前
共享精神应助yangyujie25采纳,获得10
15秒前
ssong发布了新的文献求助20
15秒前
桐桐应助chen采纳,获得10
16秒前
tiptip应助Joanna采纳,获得10
17秒前
18秒前
cchen完成签到 ,获得积分10
19秒前
SciGPT应助云雨采纳,获得10
20秒前
酷波er应助无语的鸡翅采纳,获得10
20秒前
ludong_0完成签到,获得积分10
21秒前
22秒前
碧蓝的映雁完成签到 ,获得积分10
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Geist der Kunst und Kultur 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Child and Adolescent Psychology 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
丝光沸石活性位点定向调控及其二甲醚羰基化性能研究 500
A Concise History of the World, 2nd Edition 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7420231
求助须知:如何正确求助?哪些是违规求助? 9023784
关于积分的说明 19222456
捐赠科研通 7050786
什么是DOI,文献DOI怎么找? 3234926
关于科研通互助平台的介绍 2397913
邀请新用户注册赠送积分活动 2217063