Selection Of Optimal Cross Section In Real-Time 3D Ultrasound Cardiographical Images

Now real-time three-dimensional echocardiography (RT3DE) is an important tool to diagnose the complex congenital cardiac malformations. It is a difficult problem for diagnosing cardiac malformations. In 1980, a series of standard view cross-sections about two-dimensional echocardiography was issued by the American Society of Echocardiography Committee. For selection of the optimal cross section of the 3D heart images, firstly the RT3DE must be rendered as the full-volume heart, and secondly, various cross-sections interested are extracted. For finding the optimal cross section, one characteristic cross section of them is chosen, and based on this cross section the volume data is moved or rotated to other optimal cross sections. In this paper, we present the method of optimal cross sections based on template matching, and an improved entropy correlation coefficient. Our experiments show, that comparing with the Hu's moment invariant method and Histogram method, the improved entropy correlation coefficient method is very satisfied.Now, with the fast development of hardware especially the graphic card, the computational and 3D rendering speed is increased fast. Instead of the programs run on the graphic workstation originally, they are possible to run on PC recently. In this paper, a rendering of real-time three-dimensional echocardiography was implemented with C/C++ based OpenGL and used Cg language in GPU (Graphics Processing Unit) for satisfied effect. The Fast selection and display of the optimal cross sections in real-time three-dimensional ultrasound cardio graphical images are implemented and tested, and the real-time function can make it use in clinical applications.