Model-Based Imaging of Cardiac Apparent Conductivity and Local Conduction Velocity for Diagnosis and Planning of Therapy

Model-Based Imaging of Cardiac Apparent Conductivity and Local Conduction Velocity for Diagnosis and Planning of Therapy
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DOI:
10.1109/tmi.2008.2004644
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发表时间:
2008-11-01
影响因子:
10.6
通讯作者:
Sermesant, Maxime
Sermesant, Maxime
中科院分区:
工程技术1区
文献类型:
--
作者:
Chinchapatnam, Phani;Rhode, Kawal S.;Sermesant, Maxime

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被引文献

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我们提出了一种自适应算法,它使用一个快速的电生理(EP)模型来估计表观电导率和局部传导速度从非接触映射的endoepilus表面电位。揭示心脏的隐藏参数的这种功能成像的开发可以有助于改善心律失常和心力衰竭的治疗的诊断和规划,例如在诸如射频消融和心脏消融治疗的过程期间。所提出的模型进行了验证合成数据和应用到使用混合X射线/磁共振成像的临床数据。我们证明了在人类左心室的估计的电导率参数和病理位置之间的定性匹配。我们还提出了一个概念的电生理模型,利用估计的表观电导率参数来模拟起搏不同的心室部位的效果的证明。这种方法开辟了直接集成心脏EP实验室建模的可能性。
We present an adaptive algorithm which uses a fast electrophysiological (EP) model to estimate apparent electrical conductivity and local conduction velocity from noncontact mapping of the endocardial surface potential. Development of such functional imaging revealing hidden parameters of the heart can be instrumental for improved diagnosis and planning of therapy for cardiac arrhythmia and heart failure, for example during procedures such as radio-frequency ablation and cardiac resynchronisation therapy. The proposed model is validated on synthetic data and applied to clinical data derived using hybrid X-ray/magnetic resonance imaging. We demonstrate a qualitative match between the estimated conductivity parameter and pathology locations in the human left ventricle. We also present a proof of concept for an electrophysiological model which utilizes the estimated apparent conductivity parameter to simulate the effect of pacing different ventricular sites. This approach opens up possibilities to directly integrate modelling in the cardiac EP laboratory.