A method for deriving the coagulation boundary of liver tissue using a relational model of viscoelasticity and temperature in radio frequency ablation
A method for deriving the coagulation boundary of liver tissue using a relational model of viscoelasticity and temperature in radio frequency ablation
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DOI：
10.1109/embc.2012.6345902
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发表时间：
2012-11
期刊：
影响因子：
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通讯作者：
X. Lu;M. Tsukune;Hiroki Watanabe;N. Yamazaki;Y. Isobe;Yo Kobayashi;T. Miyashita;M. Fujie
中科院分区：
文献类型：
--
作者：
X. Lu;M. Tsukune;Hiroki Watanabe;N. Yamazaki;Y. Isobe;Yo Kobayashi;T. Miyashita;M. Fujie
近年来，射频消融在肝癌治疗中的作用越来越重要。射频消融通常使用弹性成像进行，以监测消融过程，电极针的温度显示在射频消融仪上。然而，射频消融中肝组织的凝固边界不清楚，不可靠。这可能导致过度和不充分的RF消融，从而降低手术的优势。在本研究中，我们开发了一种用于确定射频消融中肝组织凝固边界的方法。为了研究这个边界，我们使用的生化成分的机械特性作为指标的凝聚产生的粘弹性和温度的关系模型。本文介绍了混凝土粘弹性特性的数据采集过程和混凝模型的分析方法。我们采用流变仪测量肝组织的粘弹性特性。为了确定粘弹性和温度之间的模型函数关系，我们使用最小二乘法和最小均方根误差计算优化模型函数关系。在不同温度范围内，温度与粘弹性的函数关系为线性和非线性。线性与非线性函数关系的分界点为58.0°C。
Recently radiofrequency (RF) ablation has become increasingly important in treating liver cancers. RF ablation is ordinarily conducted using elastographic imaging to monitor the ablation procedure and the temperature of the electrode needle is displayed on the RF generator. However, the coagulation boundary of liver tissue in RF ablation is unclear and unconfident. This can lead to both excessive and insufficient RF ablation thereby diminishing the advantages of the procedure. In the present study, we developed a method for determining the coagulation boundary of liver tissue in RF ablation. To investigate this boundary we used the mechanical characteristics of biochemical components as an indicator of coagulation to produce a relational model for viscoelasticity and temperature. This paper presents the data acquisition procedures for the viscoelasticity characteristics and the analytical method used for the coagulation model. We employed a rheometer to measure the viscoelastic characteristics of liver tissue. To determine the model functional relationship between viscoelasticity and temperature, we used a least-square method and the minimum root mean square error was calculated to optimize the model functional relations. The functional relation between temperature and viscoelasticity was linear and non-linear in different temperature regions. The boundary between linear and non-linear functional relation was 58.0°C.