Management of heart failure is challenging for all healthcare systems, due to the need of several expensive imaging examinations and image analysis procedures to address different clinical questions. In particular, a correct identification of transmural extent of irreversible myocardial damage is cost effective, identifying subjects who will most benefit of coronary revascularization. This study show how a dedicated software tool, to be integrated within a clinical decision support system, may help to preserve the information content of medical images in the assessment of myocardial viability in management of the left ventricular dysfunction.