北京生物醫(yī)學(xué)工程

一種用于肝癌微波消融空間定位的優(yōu)化算法

An optimization algorithm for surgical planning of percutaneous hepatic microwave ablation

作者：滕藤杜宏偉

單位：                                 中國(guó)科學(xué)技術(shù)大學(xué)信息科學(xué)技術(shù)學(xué)院電子科學(xué)與技術(shù)系(合肥230027)            

關(guān)鍵詞：肝癌；微波消融；術(shù)前規(guī)劃；優(yōu)化算法

分類號(hào)：

出版年·卷·期（頁(yè)碼）：2015·34·4（340-344）

摘要：

目的在肝癌微波消融手術(shù)前，優(yōu)化算法可自動(dòng)計(jì)算出最佳進(jìn)針路徑，從而保證完全消融腫瘤的同時(shí)對(duì)正常組織損傷最小。本文提出一種基于三維腫瘤圖形信息的術(shù)前規(guī)劃的優(yōu)化算法。方法首先在理論上將微波消融針的消融范圍當(dāng)作一個(gè)以進(jìn)針?lè)较驗(yàn)殚L(zhǎng)軸的橢球體，然后通過(guò)不斷改變球心位置及進(jìn)針?lè)较颍页鲆粋€(gè)可完全包含腫瘤的最小消融橢球，最后針對(duì)橢球形狀及不規(guī)則腫瘤模型，將計(jì)算得到的消融效率作為評(píng)判算法優(yōu)劣的標(biāo)準(zhǔn)。結(jié)果對(duì)于與消融橢球形狀相同的腫瘤模型，消融效率可達(dá)99.5%以上，而對(duì)于其他腫瘤圖形，消融效率取決于其形狀及所用消融針類型。結(jié)論上述結(jié)果證明了本算法的正確性及可行性，且本算法對(duì)不同形狀的腫瘤及不同類型的微波消融針均適用。

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.

參考文獻(xiàn)：

［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.
［3］Brace CL. Microwave ablation technology: what every user should know［J］. Current Problems in Diagnostic Radiology, 2009, 38(2): 61-67.
［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.
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