Towards left ventricular scar localisation using local motion descriptors
Peressutti D, Bai W, Shi W, Tobon-Gomez C, Jackson T, Sohal M, Rinaldi A, Rueckert D, King A (2016)
Publication Type: Conference contribution
Publication year: 2016
Journal
Publisher: Springer Verlag
Book Volume: 9534
Pages Range: 30-39
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Munich, DEU
ISBN: 9783319287119
DOI: 10.1007/978-3-319-28712-6_4
Abstract
We propose a novel technique for the localisation of Left Ventricular (LV) scar based on local motion descriptors. Cardiac MR imaging is employed to construct a spatio-temporal motion atlas where the LV motion of different subjects can be directly compared. Local motion descriptors are derived from the motion atlas and dictionary learning is used for scar classification. Preliminary results on a cohort of 20 patients show a sensitivity and specificity of 80% and 87% in a binary classification setting.
Involved external institutions
King’s College London
United Kingdom (GB)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
United Kingdom (GB)
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
How to cite
APA:
Peressutti, D., Bai, W., Shi, W., Tobon-Gomez, C., Jackson, T., Sohal, M.,... King, A. (2016). Towards left ventricular scar localisation using local motion descriptors. In Kawal Rhode, Oscar Camara, Alistair Young, Tommaso Mansi, Maxime Sermesant, Mihaela Pop (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 30-39). Munich, DEU: Springer Verlag.
MLA:
Peressutti, Devis, et al. "Towards left ventricular scar localisation using local motion descriptors." Proceedings of the 6th International Workshop on Statistical Atlases and Computational Models of the Heart, STACOM 2015, Munich, DEU Ed. Kawal Rhode, Oscar Camara, Alistair Young, Tommaso Mansi, Maxime Sermesant, Mihaela Pop, Springer Verlag, 2016. 30-39.
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