Scintigraphic image segmentation based on grammatical inference and spiral matrix

This paper deals with an image segmentation tool inspired from grammar formalism and based on spiral matrix. We are to set a scintigraphic image as a set of lexemes based on a vocabulary of intensities and a set of grammatical rules. Thus, the endocardium, epicardium and epicardial muscle edges are detected. In addition, a set of quantitative information is also deduced such as endocardium area, endocardium diameter and epicardial muscle thickness. This type of task is intended for medical diagnosis assistance. To validate our method, we have segmented a set of real scintigraphic images.