RESUMO
OBJECTIVE: The digital subtraction angiography (DSA) image is processed to obtain central line and bifurcation point of coronary artery, and angle between blood vessels. METHODS: The image is processed on the platform of Matlab. The central line of coronary artery is extracted by Hessian matrix. The coordinates of the bifurcation point and two other points on branch vessels are obtained by central line matrix of DSA image. Then average angle of coronary artery vessels is calculated by the three points. RESULTS: For randomly selected DSA images, high accuracy values of coronary artery central line and angle may be obtained. CONCLUSIONS: Accurate measurement of coronary artery vessel angel may help operators of DSA in setting body position and help researchers in image processing.
Assuntos
Vasos Coronários , Processamento de Imagem Assistida por Computador , Algoritmos , Angiografia DigitalRESUMO
OBJECTIVE: To establish a digital subtraction angiography (DSA) information management and image analysis system to realize scientific management of DSA image information and efficient processing of image data. METHODS: Based on Java Web under Windows 7 environment, a dynamic Browser/Server mode system was constructed by JSP and Servlet on the network. Eclipse and MySQL were used as development tool and database development platform. Tomcat network information service was used as application server. Matlab codes were embedded to analyze DSA image. RESULTS: The system consists of five modules:image information management, image processing, image analysis, advanced retrieval and clinical data management. It may complete such process as storing, deleting, saving, analyzing of DSA image and basic information of patients. CONCLUSIONS: The main interface of the system is user-friendly and easy to operate. The system will be helpful to the clinical, teaching and scientific research work related to DSA.