LEFT-VENTRICULAR BOUNDARY DETECTION FROM SPATIOTEMPORAL VOLUMETRIC COMPUTED-TOMOGRAPHY IMAGES

This paper presents a new automatic technique for left ventricle bound ary detection from a set of three-dimensional (3D) computed tomography (CT) volumetric cardiac images. The goals of this paper are to incorp orate the temporal information into LV boundary detection, to link the shape modeling and LV boundary detection together, and to provide a c ompact representation of recovered LV boundaries to cardiac imaging. T he proposed technique introduces spatio-temporal boundary detection an d iterative model-based boundary refinement to left ventricular bounda ry extraction. The proposed technique has been applied to two sets of four-dimensional (4D) computed tomography images. Experimental results are compared with the manually edited images.