北京生物医学工程
北京生物醫學工程
북경생물의학공정
BEIJING BIOMEDICAL ENGINEERING
2015年
4期
340-344,426
,共6页
肝癌%微波消融%术前规划%优化算法
肝癌%微波消融%術前規劃%優化算法
간암%미파소융%술전규화%우화산법
liver tumor%microwave ablation%surgical planning%optimization algorithm
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。
目的:在肝癌微波消融手術前,優化算法可自動計算齣最佳進針路徑,從而保證完全消融腫瘤的同時對正常組織損傷最小。本文提齣一種基于三維腫瘤圖形信息的術前規劃的優化算法。方法首先在理論上將微波消融針的消融範圍噹作一箇以進針方嚮為長軸的橢毬體,然後通過不斷改變毬心位置及進針方嚮,找齣一箇可完全包含腫瘤的最小消融橢毬,最後針對橢毬形狀及不規則腫瘤模型,將計算得到的消融效率作為評判算法優劣的標準。結果對于與消融橢毬形狀相同的腫瘤模型,消融效率可達99.5%以上,而對于其他腫瘤圖形,消融效率取決于其形狀及所用消融針類型。結論上述結果證明瞭本算法的正確性及可行性,且本算法對不同形狀的腫瘤及不同類型的微波消融針均適用。
목적:재간암미파소융수술전,우화산법가자동계산출최가진침로경,종이보증완전소융종류적동시대정상조직손상최소。본문제출일충기우삼유종류도형신식적술전규화적우화산법。방법수선재이론상장미파소융침적소융범위당작일개이진침방향위장축적타구체,연후통과불단개변구심위치급진침방향,조출일개가완전포함종류적최소소융타구,최후침대타구형상급불규칙종류모형,장계산득도적소융효솔작위평판산법우렬적표준。결과대우여소융타구형상상동적종류모형,소융효솔가체99.5%이상,이대우기타종류도형,소융효솔취결우기형상급소용소융침류형。결론상술결과증명료본산법적정학성급가행성,차본산법대불동형상적종류급불동류형적미파소융침균괄용。
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.