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基于图的全变差约束的动态心肌跨膜电位无创重建

Non-invasive reconstruction of dynamic myocardial transmembrane potential with graph-based total variation constraints.

作者信息

Xie Shuting, Wang Linwei, Zhang Heye, Liu Huafeng

机构信息

State Key Laboratory of Modern Optical Instrumentation, Department of Optical Engineering, Zhejiang University, Hangzhou 310027, People's Republic of China.

Computational Biomedicine Laboratory, Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY 14623, USA.

出版信息

Healthc Technol Lett. 2019 Nov 26;6(6):181-186. doi: 10.1049/htl.2019.0065. eCollection 2019 Dec.

DOI:10.1049/htl.2019.0065
PMID:32038854
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6945684/
Abstract

Non-invasive reconstruction of electrophysiological activity in the heart is of great significance for clinical disease prevention and surgical treatment. The distribution of transmembrane potential (TMP) in three-dimensional myocardium can help us diagnose heart diseases such as myocardial ischemia and ectopic pacing. However, the problem of solving TMP is ill-posed, and appropriate constraints need to be added. The existing state-of-art method total variation minimisation only takes advantage of the local similarity in space, which has the problem of over-smoothing, and fails to take into account the relationship among frames in the dynamic TMP sequence. In this work, the authors introduce a novel regularisation method called graph-based total variation to make up for the above shortcomings. The graph structure takes the TMP value of a time sequence on each heart node as the criterion to establish the similarity relationship among the heart. Two sets of phantom experiments were set to verify the superiority of the proposed method over the traditional constraints: infarct scar reconstruction and activation wavefront reconstruction. In addition, experiments with ten real premature ventricular contractions patient data were used to demonstrate the accuracy of the authors' method in clinical applications.

摘要

心脏电生理活动的无创重建对于临床疾病预防和外科治疗具有重要意义。三维心肌中跨膜电位(TMP)的分布有助于我们诊断诸如心肌缺血和异位起搏等心脏病。然而,求解TMP的问题是不适定的,需要添加适当的约束条件。现有的最先进方法——总变分最小化仅利用了空间中的局部相似性,存在过度平滑的问题,并且没有考虑动态TMP序列中各帧之间的关系。在这项工作中,作者引入了一种名为基于图的总变分的新型正则化方法来弥补上述缺点。该图结构以每个心脏节点上时间序列的TMP值为准则来建立心脏之间的相似关系。设置了两组虚拟实验来验证所提出的方法相对于传统约束的优越性:梗死瘢痕重建和激活波前重建。此外,使用十例室性早搏患者的真实数据进行实验,以证明作者的方法在临床应用中的准确性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b9/6945684/4695f31296b0/HTL.2019.0065.09.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b9/6945684/962732c2a7df/HTL.2019.0065.01.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b9/6945684/587083cae7b8/HTL.2019.0065.08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b9/6945684/4695f31296b0/HTL.2019.0065.09.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b9/6945684/962732c2a7df/HTL.2019.0065.01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b9/6945684/54ec264a9d21/HTL.2019.0065.02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b9/6945684/602b180dd9ee/HTL.2019.0065.03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b9/6945684/2a03d6814957/HTL.2019.0065.04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b9/6945684/9efdd1928568/HTL.2019.0065.05.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b9/6945684/2c1ca5113cae/HTL.2019.0065.06.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b9/6945684/578e8a7690df/HTL.2019.0065.07.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b9/6945684/587083cae7b8/HTL.2019.0065.08.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b9/6945684/4695f31296b0/HTL.2019.0065.09.jpg

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本文引用的文献

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ECG Imaging to Detect the Site of Ventricular Ischemia Using Torso Electrodes: A Computational Study.使用躯干电极进行心电图成像以检测心室缺血部位:一项计算研究
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Noninvasive Imaging of Epicardial and Endocardial Potentials With Low Rank and Sparsity Constraints.利用低秩和稀疏约束进行心外膜和心内膜电位的无创成像。
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Noninvasive Activation Imaging of Ventricular Arrhythmias by Spatial Gradient Sparse in Frequency Domain-Application to Mapping Reentrant Ventricular Tachycardia.
空间频率域梯度稀疏技术无创性激活显像诊断室性心律失常——用于折返性室性心动过速的标测。
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