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基于组织切片图的心房组织二维计算机模型描述了微观结构对心内膜电位和电近场的电解剖学影响。

A 2D-computer model of atrial tissue based on histographs describes the electro-anatomical impact of microstructure on endocardiac potentials and electric near-fields.

作者信息

Campos Fernando O, Wiener Thomas, Prassl Anton J, Ahammer Helmut, Plank Gernot, Weber Dos Santos Rodrigo, Sánchez-Quintana Damián, Hofer Ernst

机构信息

Institute of Biophysics, Medical University of Graz, Harrachgasse 21/IV, A-8010, Austria.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:2541-4. doi: 10.1109/IEMBS.2010.5626870.

Abstract

In experiments with cardiac tissue, local conduction is described by waveform analysis of the derivative of the extracellular potential Φ(e) and by the loop morphology of the near-field strength E (the components of the electric field parallel and very close to the tissue surface). The question arises whether the features of these signals can be used to quantify the degree of fibrosis in the heart. A computer model allows us to study the behavior of electric signals at the endocardium with respect to known configurations of microstructure which can not be detected during the electrophysiological experiments. This work presents a 2D-computer model with sub-cellular resolution of atrial micro-conduction in the rabbit heart. It is based on the monodomain equations and digitized histographs from tissue slices obtained post-experimentum. It could be shown that excitation spread in densely coupled regions produces uniform and anisotropic conduction. In contrast, zones with parallel fibers separated by uncoupling interstitial space or connective tissue may show uniform or complex signals depending on pacing site. These results suggest that the analysis of Φ(e) and E combined with multi-site pacing could be used to characterize the type and the size of fibrosis.

摘要

在心脏组织实验中,局部传导通过细胞外电位Φ(e)导数的波形分析以及近场强度E(电场平行且非常靠近组织表面的分量)的环路形态来描述。问题在于这些信号的特征是否可用于量化心脏纤维化程度。计算机模型使我们能够研究已知微观结构配置下心内膜处电信号的行为,而这些微观结构在电生理实验中无法检测到。这项工作展示了一个具有亚细胞分辨率的二维计算机模型,用于模拟兔心脏心房微传导。该模型基于单域方程以及实验后从组织切片获取的数字化组织切片图。结果表明,在紧密耦合区域的兴奋传播会产生均匀且各向异性的传导。相反,由解耦的间隙空间或结缔组织分隔的平行纤维区域可能会根据起搏部位显示出均匀或复杂的信号。这些结果表明,结合多部位起搏对Φ(e)和E进行分析可用于表征纤维化的类型和大小。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/53ad/3971458/7bea06a893c8/emss-57719-f0001.jpg

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