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

Healthcare Technology Letters

article

Shuting Xie¹  Linwei Wang²  Heye Zhang³  Huafeng Liu¹ 

[1] State Key Laboratory of Modern Optical Instrumentation, Department of Optical Engineering, Zhejiang University;Computational Biomedicine Laboratory, Golisano College of Computing and Information Sciences, Rochester Institute of Technology;School of Biomedical Engineering, Sun Yat-Sen University

关键词: bioelectric potentials;    graph theory;    cardiology;    diseases;    phantoms;    minimisation;    medical signal processing;    physiological models;    electrocardiography;    signal reconstruction;    dynamic myocardial transmembrane potential;    graph-based total variation constraints;    electrophysiological activity;    clinical disease prevention;    surgical treatment;    three-dimensional myocardium;    heart disease diagnosis;    myocardial ischemia;    ectopic pacing;    local similarity;    dynamic TMP sequence;    regularisation method;    graph structure;    heart node;    infarct scar reconstruction;    activation wavefront reconstruction;    phantom experiments;   

DOI  :  10.1049/htl.2019.0065

学科分类：肠胃与肝脏病学

来源: Wiley

【 摘 要 】

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.

【 授权许可】

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