Research On Automatic Modeling And System Simulation Of 3D Human Kidney Based On VKH

In recent decades, medical imaging technology,on the basis of computer tomography technology (CT) and magnetic resonance imaging (MRI), ultrasound (US) and magnetic resonance angiography (MRA), visible human project database and so on,has been widely applied in medical, "3D visualization" research has been the study focus in more and more countries. In this paper, on the basis of relevant research based on VKH data set, with modules like image preprocessing, surface rendering and volume rendering, computer graphics interactive technology and visualization method integrated in, set up a complete kidney modeling and simulation system. Specific include the following content:1. According to the preprocessing of sequence images of VKH data set, this paper studied and implemented of relevant segmentation method based on pixel and graph theory. In addition, referred to the physiological characteristics for kidney in realizing the original image divided to multiple areas at the same time. In addition, also studied sequence image registration method.2. For sequence images'three-dimensional reconstruction technique, this paper realized real-time surface rendering and volume rendering. Based on VTK's Rendering pipeline, this system supports multiple formats of sequence images'reconstruction. Moreover, in order to facilitate subsequent analysis process, three-dimensional reconstruction results of surface model, volume model and its texture are stored in file form, making the analytical work liberated from multifarious reconstruction process. Support multiple formats'conversion option, the most support of edit operation.3. Realized the interactive operation of models. The system uses layering design method and modular thought, meanwhile, we also provide interactive operations like cutting and measurement, organization function division. Reading and rendering of model file, interactive operation in ordinary PC can be displayed in real-time.The key technologies and algorithms this paper referred have been integrated into VRKidney platform developed by the laboratory and the validity and reliability have been verified by the experimental results and applications.