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基于CT影像的肝肿瘤介入热消融手术路径规划系统设计 被引量:3

Design of Surgical Path Planning System for Interventional Thermal Ablation of Liver Tumors Based on CT Images
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摘要 目的针对肝肿瘤热消融人工手术路径规划耗时耗力、严重依赖医生穿刺经验等不足,设计并实现一种基于CT影像的肝肿瘤热消融手术路径自动规划系统。方法该系统主要包括图像分割及三维重建、手术路径自动规划、图像信息管理三个模块。通过基于CT影像的器官分割、三维重建,获得患者个性化的腹腔空间解剖结构,在此基础上进行手术路径规划。使用基于临床约束条件的加权求和方法和帕累托最优概念求解多目标优化问题,筛选最优进针路径,实现热消融手术路径自动规划。建立图像信息数据库,存储手术路径相关信息。结果由临床医师对本系统生成的手术路径进行评估,超过72%的规划路径能够符合临床治疗要求,且规划时间远少于医生手工规划。结论本系统经完善后可用于肝肿瘤热消融手术路径的规划,具有一定的临床应用价值。 Objective Aiming at the shortcomings of artificial surgical path planning for thermal ablation of liver tumors,such as time-consuming and labor-consuming,and relying heavily on doctors’puncture experience,to design and implement an automatic surgical path planning system for thermal ablation of liver tumors based on CT images.Methods The system mainly included three modules:image segmentation and three-dimensional reconstruction,automatic surgical path planning and image information management.Through organ segmentation and three-dimensional reconstruction based on CT images,the personalized abdominal spatial anatomical structure of patients was obtained,which was convenient for surgical path planning.The weighted summation method based on clinical constraints and the concept of Pareto optimality were used to solve the multi-objective optimization problem,screen the optimal needle entry path and realize the automatic planning of thermal ablation path.The image information database was established to store the information related to the surgical path.Results The surgical paths generated by this system were evaluated by clinicians,and more than 72%of the planned paths could meet the clinical treatment requirements,and the planning time was much less than the manual planning by doctors.Conclusion After improvement,the system can be used for the planning of thermal ablation path of liver tumor,and has certain clinical application value.
作者 吴薇薇 李文科 张睿 周著黄 吴水才 WU Weiwei;LI Wenke;ZHANG Rui;ZHOU Zhuhuang;WU Shuicai(College of Biomedical Engineering,Capital Medical University,Beijing 100069,China;Faculty of Environment and Life,Beijing University of Technology,Beijing 100124,China)
出处 《中国医疗设备》 2022年第7期10-14,共5页 China Medical Devices
基金 国家自然科学基金(61801312)。
关键词 肿瘤热消融 手术规划 加权求和 帕累托最优 系统设计 thermal ablation of tumor surgical planning weighted summation Pareto optimality system design
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