Optical Ultrastructure of Cardiac Tissue Helps to Reproduce Discordant Alternans by In Silico Data Assimilation
Optical Ultrastructure of Cardiac Tissue Helps to Reproduce Discordant Alternans by In Silico Data Assimilation
复制标题
心脏组织的光学超微结构有助于通过计算机数据同化再现不一致的交替序列
DOI：
10.1109/esgco55423.2022.9931369
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发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Gizzi, Alessio
中科院分区：
文献类型：
--
作者：
Horning, Marcel;Loppini, Alessandro;Erhardt, Julia;Fenton, Flavio H.;Filippi, Simonetta;Gizzi, Alessio
心脏病学中的一个相关问题是通过识别心脏功能障碍的有价值的生物标志物和通过设计可靠的计算模型来预测向病理性心脏动力学的转变。在这种情况下，交替方案已被证明可以预测心动过速和纤颤。尽管如此，一个开放的问题是定义准确和方便的方法来预测交替模式的发生和演变，并制定可靠的模型再现交替功能，在实验中观察到的。在这篇文章中，我们提出了一种基于FFT的电压映射数据的方法，称为FFI（快速傅立叶成像），它能够早期识别交替的心脏动力学和恢复组织结构信息。我们的研究结果表明，FFI识别交替模式具有很高的准确性，避免了其他方法所需的过多的数据预处理。提取的组织的光学超微结构细节用于通过精确的数据同化来通知计算参数，这使得能够在计算机上恢复犬心脏的实验性离体观察。临床相关性-FFI分析的应用能够几乎实时检测心脏组织中的一致和不一致交替模式，并为新的数学方法开辟了道路，对个性化建模和整个器官模拟产生了重大影响。
A relevant issue in cardiology is represented by identifying valuable biomarkers of cardiac dysfunctions and by designing reliable computational models to predict transitions into pathological cardiac dynamics. In this context, alternans regimes have been proven to anticipate tachycardia and fibrillation. Still, an open problem is defining accurate and convenient methods to predict the onset and evolution of alternans patterns and formulate reliable models reproducing alternans features as observed in experiments. In this contribution, we present an FFT-based method on voltage mapping data, named FFI (Fast-Fourier-Imaging), which is able to early identify alternating cardiac dynamics and recover tissue structural information. Our results show that FFI identifies alternans patterns with great accuracy, avoiding excessive data preprocessing required by other methods. The extracted optical ultrastructural details of the tissue are used to inform computational parameters by accurate data assimilation, which enables the in-silico recovery of the experimental ex-vivo observations of a canine heart. Clinical Relevance-The application of FFI analysis enables the almost real-time detection of concordant and discordant alternans patterns in cardiac tissue and opens the way to new mathematical approaches with significant impacts on personalized modeling and whole organ simulations.
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影响因子：
4.6
作者：
Hörning M;Blanchard F;Isomura A;Yoshikawa K
通讯作者：
Yoshikawa K
影响因子：
4
作者：
Kappadan, Vineesh;Telele, Saba;Christoph, Jan
通讯作者：
Christoph, Jan
影响因子：
37.8
作者：
Pastore, JM;Girouard, SD;Rosenbaum, DS
通讯作者：
Rosenbaum, DS
影响因子：
3.2
作者：
Gizzi, A.;Loppini, A.;Filippi, S.
通讯作者：
Filippi, S.