Towards left ventricular scar localisation using local motion descriptors

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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.

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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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9534, pp. 30–39). Springer Verlag. https://doi.org/10.1007/978-3-319-28712-6_4

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