Methodology for patient-specific modeling of atrial fibrosis as a substrate for atrial fibrillation.
Methodology for patient-specific modeling of atrial fibrosis as a substrate for atrial fibrillation.
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DOI：
10.1016/j.jelectrocard.2012.08.005
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发表时间：
2012-11
影响因子：
1.3
通讯作者：
Trayanova NA
中科院分区：
文献类型：
--
作者：
McDowell KS;Vadakkumpadan F;Blake R;Blauer J;Plank G;MacLeod RS;Trayanova NA
个性化的计算心脏模型正在成为研究心律失常机制的重要工具，并有可能成为指导临床抗心律失常治疗的有力工具。在这篇文章中，我们提出了构建患者特异性心房纤维化模型作为房颤基质的方法。该模型是由高分辨率晚期钆增强磁共振成像（LGE-MRI）图像从患有持续性房颤的患者体内采集，准确地捕捉患者的心房几何形状和心房纤维化区域的分布。心房纤维取向估计使用一种新的基于图像的方法，和纤维化表示在患者特定的纤维化区域纳入胶原间隔，间隙连接重塑，和肌成纤维细胞增殖。在患者的纤维化心房模型中，提出了一种基于房颤的折返回路的概念验证模拟结果，以证明方法开发的完成。
Personalized computational cardiac models are emerging as an important tool for studying cardiac arrhythmia mechanisms, and have the potential to become powerful instruments for guiding clinical anti-arrhythmia therapy. In this article, we present the methodology for constructing a patient-specific model of atrial fibrosis as a substrate for atrial fibrillation. The model is constructed from high-resolution late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) images acquired in vivo from a patient suffering from persistent atrial fibrillation, accurately capturing both the patient’s atrial geometry and the distribution of the fibrotic regions in the atria. Atrial fiber orientation is estimated using a novel image-based method, and fibrosis is represented in the patient-specific fibrotic regions as incorporating collagenous septa, gap junction remodeling, and myofibroblast proliferation. A proof-of-concept simulation result of reentrant circuits underlying atrial fibrillation in the model of the patient’s fibrotic atrium is presented to demonstrate the completion of methodology development.
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DOI：
10.1023/b:visi.0000043755.93987.aa
发表时间：
2005-02-01
影响因子：
19.5
作者：
Beg, MF;Miller, MI;Younes, L
通讯作者：
Younes, L
影响因子：
10.6
作者：
Vadakkumpadan F;Arevalo H;Ceritoglu C;Miller M;Trayanova N
通讯作者：
Trayanova N
影响因子：
1.3
作者：
Vigmond, EJ;Hughes, M;Leon, LJ
通讯作者：
Leon, LJ
影响因子：
4.6
作者：
Pop, Mihaela;Sermesant, Maxime;Wright, Graham A.
通讯作者：
Wright, Graham A.
影响因子：
37.8
作者：
Kawara, T;Derksen, R;de Bakker, JMT
通讯作者：
de Bakker, JMT