Left Ventricle Tracking in Isotopic Ventriculography Using Statistical
Deformable Models
Nawres Khlifa, Said Ettaeib, Yosra Wahabi, and Kamel Hamrouni
Research Unit of Single Processing, Image Processing and Pattern Recognition, National Engineering School of Tunis, Tunisia
Nawres Khlifa, Said Ettaeib, Yosra Wahabi, and Kamel Hamrouni
Research Unit of Single Processing, Image Processing and Pattern Recognition, National Engineering School of Tunis, Tunisia
Abstract: The left ventricle tracking in planar scintigraphic images is an important step to study the coronary state. However, it is not as simple as we thought, because of the bad quality of these images. The study of the related work showed that classic methods based on low level image characteristics failed to localize the ventricle. In this paper, we suggest using a method based on a priori knowledge. Assuming that the human heart can appear in different images as one of a variety of possible shapes, we can incorporate the shape and the texture to delineate the boundaries of the left ventricle.
Keywords: Active shape model, active appearance model, planar nuclear image, tracking, left ventricule.
Received June 30, 2008; accepted February 25, 2009
