A novel rule-based algorithm for assigning myocardial fiber orientation to computational heart models.
A novel rule-based algorithm for assigning myocardial fiber orientation to computational heart models.
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DOI：
10.1007/s10439-012-0593-5
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发表时间：
2012-10
影响因子：
3.8
通讯作者：
Trayanova, N. A.
中科院分区：
文献类型：
--
作者：
Bayer, J. D.;Blake, R. C.;Plank, G.;Trayanova, N. A.
穿过心肌的电波引起负责将血液泵送到全身的肌肉收缩。这些波的形状和方向取决于心室肌细胞的空间排列，称为纤维取向。在模拟心脏中电波传播或机械收缩的计算研究中，准确地表示纤维方向至关重要，以便模型预测与实验数据相证实。通常，基于扩散张量成像（DTI）数据将纤维取向分配给心脏模型，但如果DTI数据有噪声或不存在，则很少存在替代方法。在这里，我们提出了一种新的基于拉普拉斯-狄利克雷规则（LDRB）的算法来执行此任务的速度，精度和高可用性。我们证明了LDRB算法在基于图像的计算模型的犬心室的应用。在这个模型中的电激活的模拟进行比较，在相同的几何模型，但与DTI衍生的纤维取向。结果表明，来自LDRB和DTI衍生纤维取向的模拟的激活模式几乎不可区分，相对差异≤ 6%，激活时间的绝对平均差异≤3.15 ms，正相关性≥0.99。这些结果令人信服地表明，LDRB算法是一个强大的替代DTI分配纤维方向的计算心脏模型。
Electrical waves traveling throughout the myocardium elicit muscle contractions responsible for pumping blood throughout the body. The shape and direction of these waves depend on the spatial arrangement of ventricular myocytes, termed fiber orientation. In computational studies simulating electrical wave propagation or mechanical contraction in the heart, accurately representing fiber orientation is critical so that model predictions corroborate with experimental data. Typically, fiber orientation is assigned to heart models based on Diffusion Tensor Imaging (DTI) data, yet few alternative methodologies exist if DTI data is noisy or absent. Here we present a novel Laplace–Dirichlet Rule-Based (LDRB) algorithm to perform this task with speed, precision, and high usability. We demonstrate the application of the LDRB algorithm in an image-based computational model of the canine ventricles. Simulations of electrical activation in this model are compared to those in the same geometrical model but with DTI-derived fiber orientation. The results demonstrate that activation patterns from simulations with LDRB and DTI-derived fiber orientations are nearly indistinguishable, with relative differences ≤6%, absolute mean differences in activation times ≤3.15 ms, and positive correlations ≥0.99. These results convincingly show that the LDRB algorithm is a robust alternative to DTI for assigning fiber orientation to computational heart models.
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影响因子：
3.8
作者：
Rijcken, J;Bovendeerd, PHM;Arts, T
通讯作者：
Arts, T
影响因子：
2.9
作者：
Cherry, EM;Greenside, HS;Henriquez, CS
通讯作者：
Henriquez, CS
DOI：
10.1196/annals.1341.026
发表时间：
2005-01-01
期刊：
COMMUNICATIVE CARDIAC CELL
影响因子：
--
作者：
Helm, P;Beg, MF;Winslow, RL
通讯作者：
Winslow, RL
DOI：
10.1152/ajpheart.00813.2004
发表时间：
2005-03-01
影响因子：
4.8
作者：
Harrington, KB;Rodriguez, F;Miller, DC
通讯作者：
Miller, DC
DOI：
10.1152/ajpheart.1998.275.6.h2308
发表时间：
1998-12-01
影响因子：
4.8
作者：
Scollan, DF;Holmes, A;Forder, J
通讯作者：
Forder, J