Abstract
The left ventricle myocardium and chamber segmentation in gated SPECT images is a challenging problem. Segmentation is however the first step to geometry reconstruction and quantitative measurements needed for clinical parameters extraction from the images. New algo- rithms for segmenting the heart left ventricle myocardium and chamber are proposed. The accuracy of the volumes measured from the geomet- rical models used for segmentation is evaluated using simulated images. The error on the computed ejection fraction is low enough for diagnosis assistance. Experiments on real images are shown.