High-security automatic path planning of radiofrequency ablation for liver tumors

被引:5
作者
Li, Jing [1 ,2 ]
Gao, Huayu [1 ,2 ]
Shen, Nanyan [1 ,2 ]
Wu, Di [5 ]
Feng, Lanyun [3 ,4 ]
Hu, Peng [1 ,2 ]
机构
[1] Shanghai Univ, Shanghai Key Lab Intelligent Mfg & Robot, Shanghai, Peoples R China
[2] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai, Peoples R China
[3] Fudan Univ, Dept Integrat Oncol, Shanghai Canc Ctr, Shanghai, Peoples R China
[4] Fudan Univ, Shanghai Med Coll, Dept Oncol, Shanghai, Peoples R China
[5] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai, Peoples R China
关键词
Liver tumor; Multi-objective optimization; NSGA-II; Puncture path; THERMAL ABLATION; THERAPY;
D O I
10.1016/j.cmpb.2023.107769
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Background and objective: Radiofrequency ablation (RFA) is an effective method for the treatment of liver tumors. Preoperative path planning, which plays a crucial role in RFA treatment, requires doctors to have significant experience and ability. Specifically, correct and highly active preoperative path planning should ensure the safety of the whole puncturing process, complete ablation of tumors and minimal damage to healthy tissues. Methods: In this paper, a high-security automatic multiple puncture path planning method for liver tumors is proposed, in which the optimization of the ablation number, puncture number, target positions and puncture point positions subject to comprehensive clinical constraints are studied. In particular, both the safety of the puncture path and the distribution of ablation ellipsoids are taken into consideration. The influence of each constraint on the safety of the whole puncturing process is discussed in detail. On this basis, the efficiency of the planning method is obviously improved by simplifying the computational data and optimized variables. In addition, the performance and adaptability of the proposed method to large and small tumors are compared and summarized. Results: The proposed method is evaluated on 10 liver tumors of various geometric characteristics from 7 cases. The test results show that the average path planning time and average ablation efficiency are 41.4 s and 60.19%, respectively. For tumors of different sizes, the planning results obtained from the proposed method have similar healthy tissue coverage. Through the clinical evaluation of doctors, the planning results meet the needs of RFA for liver tumors. Conclusions: The proposed method can provide reasonable puncture paths in RFA planning, which is beneficial to ensure the safety and efficiency of liver tumor ablation.
引用
收藏
页数:11
相关论文
共 33 条
[11]   A fully automatic computer-aided diagnosis system for hepatocellular carcinoma using convolutional neural networks [J].
Li, Jing ;
Wu, Yurun ;
Shen, Nanyan ;
Zhang, Jiawen ;
Chen, Enlong ;
Sun, Jie ;
Deng, Zongqian ;
Zhang, Yuchen .
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, 2020, 40 (01) :238-248
[12]   A heuristic method for rapid and automatic radiofrequency ablation planning of liver tumors [J].
Li, Ruikun ;
An, Chengyang ;
Wang, Shuxin ;
Wang, Guisheng ;
Zhao, Lifeng ;
Yu, Yizhou ;
Wang, Lisheng .
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2023, 18 (12) :2213-2221
[13]   Multiple objective planning for thermal ablation of liver tumors [J].
Liang, Libin ;
Cool, Derek ;
Kakani, Nirmal ;
Wang, Guangzhi ;
Ding, Hui ;
Fenster, Aaron .
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2020, 15 (11) :1775-1786
[14]   Automatic Radiofrequency Ablation Planning for Liver Tumors With Multiple Constraints Based on Set Covering [J].
Liang, Libin ;
Cool, Derek ;
Kakani, Nirmal ;
Wang, Guangzhi ;
Ding, Hui ;
Fenster, Aaron .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2020, 39 (05) :1459-1471
[15]   Development of a Multi-objective Optimized Planning Method for Microwave Liver Tumor Ablation [J].
Liang, Libin ;
Cool, Derek ;
Kakani, Nirmal ;
Wang, Guangzhi ;
Ding, Hui ;
Fenster, Aaron .
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT V, 2019, 11768 :110-118
[16]   Overlapping radiofrequency ablation planning and robot-assisted needle insertion for large liver tumors [J].
Liu, Ping ;
Qin, Jing ;
Duan, Bin ;
Wang, Qiong ;
Tan, Xiaoyu ;
Zhao, Baoliang ;
Jonnathan, Peneyra Libao ;
Chui, Chee-Kong ;
Heng, Pheng-Ann .
INTERNATIONAL JOURNAL OF MEDICAL ROBOTICS AND COMPUTER ASSISTED SURGERY, 2019, 15 (01)
[17]   Automatic Multiple-Needle Surgical Planning of Robotic-Assisted Microwave Coagulation in Large Liver Tumor Therapy [J].
Liu, Shaoli ;
Xia, Zeyang ;
Liu, Jianhua ;
Xu, Jing ;
Ren, He ;
Lu, Tong ;
Yang, Xiangdong .
PLOS ONE, 2016, 11 (03)
[18]   Multi-stage puncture path planning algorithm of ablatin needles for percutaneous radiofrequency ablation of liver tumors [J].
Luo, Min ;
Jiang, Huiyan ;
Shi, Tianyu .
COMPUTERS IN BIOLOGY AND MEDICINE, 2022, 145
[19]   The effects of electrical and thermal boundary condition on the simulation of radiofrequency ablation of liver cancer for tumours located near to the liver boundary [J].
Ooi, Ean H. ;
Lee, Khiy W. ;
Yap, Shelley ;
Khattab, Mahmoud A. ;
Liao, Iman Y. ;
Ooi, Ean T. ;
Foo, Ji J. ;
Nair, Shalini R. ;
Ali, Ahmad F. Mohd .
COMPUTERS IN BIOLOGY AND MEDICINE, 2019, 106 :12-23
[20]   Primary tumors of the lung: should we consider thermal ablation as a valid therapeutic option? [J].
Palussiere, Jean ;
Catena, Vittorio ;
Lagarde, Philippe ;
Cousin, Sophie ;
Cabart, Mathilde ;
Buy, Xavier ;
Chomy, Francois .
INTERNATIONAL JOURNAL OF HYPERTHERMIA, 2019, 36 (02) :46-52