Coverage planning in computer-assisted ablation based on Genetic Algorithm
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- 作者：Hongliang Rena ; ren@nus.edu.sg" class="auth_mail ; Weian Guoa ; b ; Shuzhi Sam Gec ; Wancheng Lima
- 关键词：Ablation planning system ; Tumor ablation ; Minimally Invasive Surgery ; Multi-objective problem ; Genetic Algorithm (GA)
- 刊名：Computers in Biology and Medicine
- 出版年：1 June 2014
- 年：2014
- 卷：49
- 期：Complete
- 页码：36-45
- 全文大小：2402 K
文摘
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Ablation planning to avoid over-ablation, over-perforation or under-ablation.
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Complete tumor coverage with minimal number of ablations and trajectories.
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Genetic Algorithm with exponential weight-criterion fitness function and constraints.
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Candidate plans can be encoded in chromosomes, evolving based on a fitness function.