Abstract
This paper presents a novel method that follows the right ventricle (RV) shape during a whole cardiac cycle in magnetic resonance sequences (MRC). The proposed approach obtains an initial coarse segmentation by a bidirectional per pixel motion descriptor. Then a refined segmentation is obtained by fusing the previous segmentation with geometrical observations at each frame. A main advantage of the proposed approach is a robust MRI heart characterization without any prior information. The proposed approach achieves a Dice Score of 0.62 evaluated over 32 patients.
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Labrador, A.M.A., Martínez, F., Castro, E.R. (2013). A Novel Right Ventricle Segmentation Approach from Local Spatio-temporal MRI Information. In: Ruiz-Shulcloper, J., Sanniti di Baja, G. (eds) Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2013. Lecture Notes in Computer Science, vol 8259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41827-3_26
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DOI: https://doi.org/10.1007/978-3-642-41827-3_26
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