Knowledge Based Active Partition Approach for Heart Ventricle Recognition

Arkadiusz Tomczyk, Piotr S. Szczepaniak

Abstract: In the paper a method of automatic localization of heart ventricles in CT images is presented. Analysis of their shape can be an important element of pulmonary embolism diagnosis. For that purpose active partitions, a generalization of active contour approach, was used with superpixel representation of image content. Active partitions, similarly to active contours, possess a natural ability to incorporate external experience into object localization process. It means that not only information contained in the image itself but also experience of the radiologist and the medical knowledge can be used to improve segmentation results.