Cardio-vascular diseases is a major cause of deaths worldwide. Early diagnosis is quite often associated with more efficient treatment leading to a significant decrease of the mortality rate. In this paper, we present tools developed to procces different cardiac modalities over the past years with aim to faciliate/automate computer aided diagnosis. In particular we present algorithms and advanced techniques for the segmentation of the left ventrile for magentic resonance and echocardiographic imaging. Furthermore, to account for user interaction, we extent our method towards user-aided boundary delineation where the user has the ability to correct local discrepancies of automated results.