Robust segmentation of the left ventricle from MRI
Veronica Medina, M. Garza, Jean Francois Lerallut, Peter Meer, Óscar Yáñez-Suárez, Raul Valdés · 2004
Segmentation and extraction of cardiac structures from heart images has been of great importance in the quantification of indicative parameters of cardiac pathologies. In this work we propose an algorithm delineate cardiac cavities, based on a robust extraction of the left ventricle, together with a refined deformable model, that integrates edge confidence information. The final contours were compared with manual segmentations taking as a similarity measure the Tanimoto index; an average index of 0.74/spl plusmn/0.10 was obtained. The estimated left ventricle volume profile along a cardiac cycle was also compared.