Anatomical modeling with fuzzy implicit surface templates: Application to automated localization of the heart and lungs in thoracic MR volumes

In this paper, a novel model-driven segmentation approach for thoracic MR-i mages is presented. The goal of this work is to coarsely, but fully automat ically localize the boundary surfaces of the heart and lungs in thoracic MR sets. The major organs in the thorax are described in a three-dimensional analytical model template by combining a set of fuzzy implicit surfaces by means of constructive solid geometry and formulating model registration as an energy minimization. The method has been validated on 20 thoracic MR vol umes from two centers (patients and normal subjects). On average 90% of the contour length of the heart and lung contours was localized with sufficien t accuracy (average positional error 6 mm) to automatically provide the ini tial conditions for a subsequently applied locally accurate segmentation me thod. (C) 2000 Academic Press.