Anisotropic Wave Propagation and Apparent Conductivity Estimation in a Fast Electrophysiological Model: Application to XMR Interventional Imaging
Anisotropic Wave Propagation and Apparent Conductivity Estimation in a Fast Electrophysiological Model: Application to XMR Interventional Imaging
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DOI：
10.1007/978-3-540-75757-3_70
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发表时间：
2007-10
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影响因子：
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通讯作者：
Phani Chinchapatnam;K. Rhode;A. King;G. Gao;Yingliang Ma;T. Schaeffter;D. Hawkes;R. Razavi;D. Hill;S. Arridge;Maxime Sermesant
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作者：
Phani Chinchapatnam;K. Rhode;A. King;G. Gao;Yingliang Ma;T. Schaeffter;D. Hawkes;R. Razavi;D. Hill;S. Arridge;Maxime Sermesant
心律失常越来越多地使用消融术治疗。快速电生理模型的开发和传导病理相关参数的估计可以帮助研究射频消融期间更好的治疗策略。我们提出了一个快速的电生理模型，将各向异性的心脏组织。还概述了一个全局-局部估计过程，以估计模型中存在的隐藏参数（表观电导率）。所提出的模型进行了测试合成和真实的数据来自使用XMR成像。我们证明了估计的电导率参数和可能的病理位置之间的定性匹配。这种方法开辟了在干预室直接集成建模的可能性。
Cardiac arrhythmias are increasingly being treated using ablation procedures. Development of fast electrophysiological models and estimation of parameters related to conduction pathologies can aid in the investigation of better treatment strategies during Radio-frequency ablations. We present a fast electrophysiological model incorporating anisotropy of the cardiac tissue. A global-local estimation procedure is also outlined to estimate a hidden parameter (apparent electrical conductivity) present in the model. The proposed model is tested on synthetic and real data derived using XMR imaging. We demonstrate a qualitative match between the estimated conductivity parameter and possible pathology locations. This approach opens up possibilities to directly integrate modelling in the intervention room.