Intelligent pulmonary embolsim detection system

Pulmonary embolism (PE) is a blockage of the pulmonary artery or one of its branches, usually occurring when a deep vein thrombus (blood clot from a vein) becomes dislodged from its site of formation and travels, or embolisms, to the arterial blood supply of one of the lungs. This process is termed thromboembolism. Most of the traditional detection of PE needs to rely on the professional judgments of physicians. With advances in CT technology, faster scanning and greatly enhanced the quality of image improve the diagnostic accuracy. Serious PE will lead to death. However, it is very important to diagnose PE. First, we use Multiple Active Contour Models (MACMs) combining the hierarchy of tree to obtain the regional lung, as well as the vessel distribution of the region. In the last step in our system, we use the Gabor Neural Network (GNN) to find the location of thrombosis.