{"title":"Investigation of bending angle algorithm and path planning for puncture needles in transjugular intrahepatic portosystemic shunt.","authors":"Qinmei Liao, Bing Li, Xihao Hu, Xiaoyun Huang, Jiacheng Guo, Yuanzhong Zhu, Wenjing He","doi":"10.1186/s12938-025-01397-2","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Design an algorithm to calculate the bending angle of the puncture needle for transjugular intrahepatic portosystemic shunt (TIPS) procedures and achieve three-dimensional visualized path planning.</p><p><strong>Materials and methods: </strong>Based on enhanced CT images, a thresholding segmentation method was used to perform three-dimensional reconstruction of the hepatic vasculature, with the target puncture point selected by the interventional physician. The puncture needle was modeled using second-order Bézier curves and arcs. Subsequently, the bending points were selected, and the optimal bending angles were calculated based on the target puncture point. The puncture pathway was then verified and visualized in three dimensions using Mimics software. Data from 32 patients who successfully underwent TIPS procedures were retrospectively collected for clinical validation and statistical analysis.</p><p><strong>Results: </strong>The error between the tip position of the puncture needle catheter modeled with Bézier curves and the actual puncture needle was 0.15 cm, while the error for the arc modeling was 0.19 cm. The optimal bending angle of the puncture needle calculated by this algorithm was validated in Mimics software, successfully achieving path planning. Among the 32 patients, the difference between the actual bending angle of the puncture needle and the calculated bending angle was 1.06° ± 1.82° (95% CI 0.41-1.72°). The equivalence test results indicated that there was a significant equivalence between the measured angle and the angle calculated by the algorithm (p < 0.001).</p><p><strong>Conclusion: </strong>This study successfully designed an algorithm for calculating the bending angle of the puncture needle in TIPS procedures, which demonstrated equivalence with the clinically observed bending angles.</p>","PeriodicalId":8927,"journal":{"name":"BioMedical Engineering OnLine","volume":"24 1","pages":"66"},"PeriodicalIF":2.9000,"publicationDate":"2025-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12117853/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BioMedical Engineering OnLine","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1186/s12938-025-01397-2","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: Design an algorithm to calculate the bending angle of the puncture needle for transjugular intrahepatic portosystemic shunt (TIPS) procedures and achieve three-dimensional visualized path planning.
Materials and methods: Based on enhanced CT images, a thresholding segmentation method was used to perform three-dimensional reconstruction of the hepatic vasculature, with the target puncture point selected by the interventional physician. The puncture needle was modeled using second-order Bézier curves and arcs. Subsequently, the bending points were selected, and the optimal bending angles were calculated based on the target puncture point. The puncture pathway was then verified and visualized in three dimensions using Mimics software. Data from 32 patients who successfully underwent TIPS procedures were retrospectively collected for clinical validation and statistical analysis.
Results: The error between the tip position of the puncture needle catheter modeled with Bézier curves and the actual puncture needle was 0.15 cm, while the error for the arc modeling was 0.19 cm. The optimal bending angle of the puncture needle calculated by this algorithm was validated in Mimics software, successfully achieving path planning. Among the 32 patients, the difference between the actual bending angle of the puncture needle and the calculated bending angle was 1.06° ± 1.82° (95% CI 0.41-1.72°). The equivalence test results indicated that there was a significant equivalence between the measured angle and the angle calculated by the algorithm (p < 0.001).
Conclusion: This study successfully designed an algorithm for calculating the bending angle of the puncture needle in TIPS procedures, which demonstrated equivalence with the clinically observed bending angles.
目的:设计一种计算经颈静脉肝内门静脉系统分流术(TIPS)穿刺针弯曲角度的算法,实现三维可视化路径规划。材料与方法:基于增强CT图像,采用阈值分割法对肝脏血管进行三维重建,由介入医师选择目标穿刺点。穿刺针采用二阶bsamizier曲线和弧线建模。然后,选择弯曲点,并根据目标穿刺点计算最佳弯曲角度。然后使用Mimics软件对穿刺路径进行验证和三维可视化。回顾性收集32例成功行TIPS手术的患者资料进行临床验证和统计分析。结果:bsamzier曲线模型的穿刺针管尖端位置与实际穿刺针管的误差为0.15 cm,弧模型的误差为0.19 cm。在Mimics软件中验证了该算法计算的最佳穿刺针弯曲角度,成功实现了路径规划。32例患者中,穿刺针实际弯曲角度与计算弯曲角度之差为1.06°±1.82°(95% CI 0.41-1.72°)。等效性检验结果表明,测量的角度与算法计算的角度之间存在显著的等效性(p)。结论:本研究成功设计了一种计算TIPS手术中穿刺针弯曲角度的算法,该算法与临床观察到的弯曲角度基本一致。
期刊介绍:
BioMedical Engineering OnLine is an open access, peer-reviewed journal that is dedicated to publishing research in all areas of biomedical engineering.
BioMedical Engineering OnLine is aimed at readers and authors throughout the world, with an interest in using tools of the physical and data sciences and techniques in engineering to understand and solve problems in the biological and medical sciences. Topical areas include, but are not limited to:
Bioinformatics-
Bioinstrumentation-
Biomechanics-
Biomedical Devices & Instrumentation-
Biomedical Signal Processing-
Healthcare Information Systems-
Human Dynamics-
Neural Engineering-
Rehabilitation Engineering-
Biomaterials-
Biomedical Imaging & Image Processing-
BioMEMS and On-Chip Devices-
Bio-Micro/Nano Technologies-
Biomolecular Engineering-
Biosensors-
Cardiovascular Systems Engineering-
Cellular Engineering-
Clinical Engineering-
Computational Biology-
Drug Delivery Technologies-
Modeling Methodologies-
Nanomaterials and Nanotechnology in Biomedicine-
Respiratory Systems Engineering-
Robotics in Medicine-
Systems and Synthetic Biology-
Systems Biology-
Telemedicine/Smartphone Applications in Medicine-
Therapeutic Systems, Devices and Technologies-
Tissue Engineering