@inproceedings{b17081df783441a8804b02e5cf5e3861,
title = "Modelling Cardiac Motion via Spatio-Temporal Graph Convolutional Networks to Boost the Diagnosis of Heart Conditions",
abstract = "We present a novel spatio-temporal graph convolutional networks (ST-GCN) approach to learn spatio-temporal patterns of left ventricular (LV) motion in cardiac MR cine images for improving the characterization of heart conditions. Specifically, a novel GCN architecture is used, where the sample nodes of endocardial and epicardial contours are connected as a graph to represent the myocardial geometry. We show that the ST-GCN can automatically quantify the spatio-temporal patterns in cine MR that characterise cardiac motion. Experiments are performed on healthy volunteers from the UK Biobank dataset. We compare different strategies for constructing cardiac structure graphs. Experiments show that the proposed methods perform well in estimating endocardial radii and characterising cardiac motion features for regional LV analysis.",
keywords = "Cardiac MR, Endocardium, Epicardium, Motion-characteristic features, Spatio-temporal graph convolutional networks",
author = "Ping Lu and Wenjia Bai and Daniel Rueckert and Noble, {J. Alison}",
note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 11th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2020 held in Conjunction with MICCAI 2020 ; Conference date: 04-10-2020 Through 04-10-2020",
year = "2021",
doi = "10.1007/978-3-030-68107-4_6",
language = "English",
isbn = "9783030681067",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "56--65",
editor = "{Puyol Anton}, Esther and Mihaela Pop and Maxime Sermesant and Victor Campello and Alain Lalande and Karim Lekadir and Avan Suinesiaputra and Oscar Camara and Alistair Young",
booktitle = "Statistical Atlases and Computational Models of the Heart. MandMs and EMIDEC Challenges - 11th International Workshop, STACOM 2020, Held in Conjunction with MICCAI 2020, Revised Selected Papers",
}