The Characteristic Views Of Coronary Angiography And The Technology Of Detecting The Vessel Contour

According to the needs of medical diagnosis, there are two questions which the angiography technology must resolve. One question is how we can reconstruct the 3D structure of vessels from 2D images. The other question is how we can determine vascular lesions, which are evaluated with quantitative analysis of vascular stenosis.To reconstruct the 3D structure of vessels, we must recognize the vessels in 2D images, and locate the crosses. All these tasks require the topology of vessels in 2D images invariance. However, the vessel network is a complex structure in the 3D space. When we change the projection angle, the topology of vessels in 2D images will change. To achieve an intelligent method to recognize the vessels, we need to know about the knowledge of the topology of vessels in 2D images, and modeling the knowledge for recognizing the vessels. Therefore, the first problem which we should resolve is modeling the characteristic views of the coronary artery.At first, we construct the 3D model of the coronary artery. Using the model, we can get to know the 3D structure of the coronary artery. Characteristic views is a set of 2D images projected from the 3D model. We use this method to study the topology of vessels in 2D images.The borders of vessels is an important step and an important geometric parameter of quantitative vascular analysis. However, we can not get the right borders of vessels where it is stenosis. To get the quantitative analysis technology more accurate and robust, we must use the prior knowledge about vessels to improve the algorithm detecting the borders of vessels simultaneously. This problem is the second one which we will resolve.Because the geodesic active contour has been widely used to extract the object contour, we use the algorithm to detect the vessel contour. Based on the prior knowledge of vessels, we improve the algorithm. Firstly, we get to know the geodesic active contour and its implementation. Then we study the local structure of vessels, and construct a model of vessel radius. Using the prior knowledge with the model, we improve the algorithm. From the contour extracting from images, the improved algorithm is more accurate than the non-improved algorithm.