Two-phase computerized planning of cryosurgery using bubble-packing and force-field analogy
Two-phase computerized planning of cryosurgery using bubble-packing and force-field analogy
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DOI：
10.1115/1.2136166
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发表时间：
2006-02-01
影响因子：
1.7
通讯作者：
Rabin, Y
中科院分区：
文献类型：
--
作者：
Tanaka, D;Shimada, K;Rabin, Y
冷冻手术是通过冷冻破坏不需要的组织，例如前列腺冷冻手术。微创冷冻手术目前是通过所有冷冻探针阵列进行的，每个冷冻探针都是长的皮下针的形状。已知对冷冻程序的质量具有显著影响的ciyoprobes的最佳布置仍然是冷冻外科医生基于冷冻外科医生的经验和“经验法则”掌握的所有技术。“一种用于冷冻手术计划的自动计算机化技术是目前论文的主题，旨在提高冷冻手术的质量。接近方法：为此目的，提出了一种两阶段优化方法，该研究小组以前的两个独立的发展的基础上。第一阶段是基于气泡填充法的有限元网格划分方法。第11阶段是基于一个力场模拟方法，它已被证明是强大的，在一个典型的长运行时间的代价。结果：作为一个概念验证，结果表明油的二维情况下，前列腺横截面。这项研究的主要贡献是证实在许多情况下，冷冻手术计划需要在没有非常昂贵的生物热传递模拟的情况下进行。结论：这种嵌套的计划方法已被证明可以将计划运行时间从几小时减少到几分钟，使自动计划在临床时间范围内实用。
Cryosurgery is the destruction of undesired tissues by freezing, as in prostate cryosurgery, for example. Minimally invasive cryosugery is currently performed by means of all array of cryoprobes, each ill the shape of a long hyodermic needle. The optimal arrangement of the ciyoprobes, which is known to have a dramatic effect oil the quality of the cryoprocedure, remains all art held by the cryosurgeon, based oil the cryosurgeon's experience and "rules of thumb." An automated computerized technique for cryosurgeron's planning is the subject matter of the current paper in an effort to improve the quality of cryosurgery. Method of Approach: A two-phase optimization method is proposed for this purpose, based oil two previous and independent developments by this research team. Phase 1 is based oil a bubble-packing method, previousliy used as all efficient method for finite element meshing. Phase 11 is based oil a force-field analogy method, which has proven to be robust at the expense of a typically long runtime. Results: As a proof-of-concept, results are demonstrated oil a two-dimensional case of a prostate cross section. The major contribution of this study is to affirim that in many instances cryosurgery planning call be performed without extremely expensive simulations of bioheat transfer achieved ill Phase 1. Conclusions: This nest, method of planning has proven to reduce planning runtime from hours to minutes, making automated planning practical ill a clinical time frame.