19 November 2013 A novel right ventricle segmentation strategy using local spatio-temporal MRI information with a prior regularizer term
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Proceedings Volume 8922, IX International Seminar on Medical Information Processing and Analysis; 892203 (2013) https://doi.org/10.1117/12.2035512
Event: IX International Seminar on Medical Information Processing and Analysis, 2013, Mexico City, Mexico
Abstract
In this work is presented a novel strategy that tracks the right ventricle (RV) shape during a whole cardiac cycle in magnetic resonance sequences (MRC). The proposed approach obtains a set of spatio-temporal observations from a bidirectional per pixel motion descriptor which are each time fused with prior learned edges. A main advantage of the proposed approach is a robust MRI heart characterization that is regularized by a prior information, obtaining in each cardiac state coherent results. The proposed approach achieves a Dice Score of 0.64 evaluated over 16 patients.
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Angélica Atehortúa, Angélica Atehortúa, Fabio Martínez, Fabio Martínez, Eduardo Romero, Eduardo Romero, "A novel right ventricle segmentation strategy using local spatio-temporal MRI information with a prior regularizer term", Proc. SPIE 8922, IX International Seminar on Medical Information Processing and Analysis, 892203 (19 November 2013); doi: 10.1117/12.2035512; https://doi.org/10.1117/12.2035512
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