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一种用于肝癌微波消融空间定位的优化算法

An optimization algorithm for surgical planning of percutaneous hepatic microwave ablation

作者: 滕藤  杜宏伟                         
单位:                                 中国科学技术大学信息科学技术学院电子科学与技术系(合肥230027)            
关键词:                               肝癌;微波消融;术前规划;优化算法             
分类号:
出版年·卷·期(页码):2015·34·4(340-344)
摘要:

目的 在肝癌微波消融手术前,优化算法可自动计算出最佳进针路径,从而保证完全消融肿瘤的同时对正常组织损伤最小。本文提出一种基于三维肿瘤图形信息的术前规划的优化算法。方法 首先在理论上将微波消融针的消融范围当作一个以进针方向为长轴的椭球体,然后通过不断改变球心位置及进针方向,找出一个可完全包含肿瘤的最小消融椭球,最后针对椭球形状及不规则肿瘤模型,将计算得到的消融效率作为评判算法优劣的标准。结果 对于与消融椭球形状相同的肿瘤模型,消融效率可达99.5%以上,而对于其他肿瘤图形,消融效率取决于其形状及所用消融针类型。结论 上述结果证明了本算法的正确性及可行性,且本算法对不同形状的肿瘤及不同类型的微波消融针均适用。

Objective For hepatic microwave ablation (MWA) of different liver tumors, optimal needle positioning can be automatically computed by the optimization algorithm to produce complete destruction of the tumor, with a minimum volume of healthy tissue damaged. An optimization algorithm for surgical planning is proposed based on the 3D graphic information of tumor. Methods First, we considered the shape of the lesion is an ellipsoid taken the needle orientation as its major axis. Then, the smallest ellipsoid with the tumor totally contained inside was generated by changing the needle positioning continuously. Finally, we evaluated the optimization algorithm by the ablation efficiency. Results For the ellipsoids which had the same shape with the ‘ablation ellipsoid’, the ablation efficiency could reach more than 99.5%. For the others, the ablation efficiency depended on its shape and the type of needle. Conclusions All the results demonstrated the validity and feasibility of the optimization algorithm. It was suitable for not only different tumors but also different types of needle.

参考文献:

[1]Zhai W, Xu J, Zhao Y, et al.Preoperative surgery planning for percutaneous hepatic microwave ablation[C].// Medical Image Computing and Computer-Assisted Intervention-MICCAI 2008: Springer, 2008: 569-577.
[2]Prakash P. Theoretical modeling for hepatic microwave ablation[J]. The Open Biomedical Engineering Journal, 2010, 4:27-38.
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[4]Brace CL. Radiofrequency and microwave ablation of the liver, lung, kidney, and bone: what are the differences?[J]. Current Problems in Diagnostic Radiology, 2009, 38(3): 135-143.
[5]Wright AS, Sampson LA, Warner TF, et al. Radiofrequency versus microwave ablation in a hepatic porcine model1[J]. Radiology, 2005, 236(1): 132-139.
[6]Villard C, Soler L, Gangi A. Radiofrequency ablation of hepatic tumors: simulation, planning, and contribution of virtual reality and haptics[J]. Computer Methods in Biomechanics and Biomedical Engineering, 2005, 8(4): 215-227.

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