Computational imaging of the cardiac activities using magnetocardiography

• Published in: Journal of medical engineering & technology Vol. 43; no. 7; pp. 401 - 410
• Main Authors: Bhat, Vikas R., Anitha, H.
• Format: Journal Article
• Language: English
• Published: England Taylor & Francis 03.10.2019
• Subjects: Finite Element Analysis; Forward problem; Heart - physiology; Humans; inverse problem; Magnetocardiography; Male; Models, Cardiovascular; Myocardial Infarction - physiopathology; Thorax - physiology; Tikhonov regularisation; transfer matrix; inverse problem; transfer matrix; Forward problem; Tikhonov regularisation; magnetocardiography
• ISSN: 0309-1902; 1464-522X; 1464-522X
• DOI: 10.1080/03091902.2019.1687770

The electrical impulses of the heart will generate a tiny magnetic field outside the thorax that is measured as Magnetocardiographic signals. The challenging study is to estimate the cardiac activities in terms of depolarisation and repolarization maps from the measured signals called as inverse problem. This is computed only if one has solved generic or subject- specific prior models using the anatomical structures of the myocardium, the torso and the detectors called as forward problem. In this study, the Discretised heart is priorily assumed as the dipolar sources forming a double layer. The thorax structure modelled with finite element meshes is considered in the forward study. The magnetocardiographic data are simulated using uniform double layer model representing transmembrane distribution on the epicardium and endocardium. Using this data, the activation maps are non-invasively imaged on the heart surface using Tikhonov's regularisation technique. The inverse study is extended to reconstruct the depolarisation sequences of the abnormal cases.