Development of a Multi-objective Optimized Planning Method for Microwave Liver Tumor Ablation

被引：9

作者：

Liang, Libin ^{[1
,2
]}

Cool, Derek ^{[3
]}

Kakani, Nirmal ^{[4
]}

Wang, Guangzhi ^{[1
]}

Ding, Hui ^{[1
]}

Fenster, Aaron ^{[2
,3
]}

机构：

[1] Tsinghua Univ, Dept Biomed Engn, Beijing, Peoples R China

[2] Western Univ, Robarts Res Inst, London, ON, Canada

[3] Western Univ, Dept Med Imaging, London, ON, Canada

[4] Manchester Royal Infirm, Dept Radiol, Manchester, Lancs, England

来源：

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT V | 2019年 / 11768卷

关键词：

Treatment planning; Microwave ablation; Set cover; Liver cancer; Pareto optimization; RADIOFREQUENCY ABLATION;

D O I：

10.1007/978-3-030-32254-0_13

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Microwave ablation (MWA) is an effective minimal invasive therapy of hepatic cancer. Preoperative treatment planning is key to successful ablation, which aims to find a plan with the minimum number of electrode trajectories, least damage to surrounding tissues, while satisfying multiple clinical constraints. However, this is a multiple objective optimization problem, making it very challenging to find an optimized plan while achieving all the above goals, especially for larger tumors. In this paper, we present a set cover-based method, which can provide Pareto optimal solutions for MWA planning. Evaluation has been performed on 6 tumors with varied sizes selected by interventionalists. Results show that all the generated plans satisfied the clinical constraints and the Pareto optimal solutions are useful to find a suitable trade-off between the number of electrode trajectories and damage to normal tissues.

引用

页码：110 / 118

页数：9

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