Research And Implementation Of Liver Visualization Based On Interpolation And Optimization

Medical image visualization is an important application of computer graphics and image processing in the field of biomedical engineering and it has developed to be an interdisciplinary research field, in which the three-dimensional visualization of medical images has become one of the hot spots in the domestic and foreign medical and computer visualization profession.By imitating human beings' vision features, medical visualization usually uses computers to process the three-dimensional volume data obtained from CT images, and then reconstructs them into intuitive three-dimensional images to show the tissues and organs of human beings. Medical image visualization is a universal technology, and can reconstruct any tissue or organ to generate its three-dimensional images. However, the visualization for specific tissue or organ based on its characteristics has an important theoretical significance and wide application aspect in the medical profession.Liver is the largest organ in the abdomen. Because the liver has a lot of blood vessels inside, the shape differ a lot and it is closer to spleen and stomach in the pixel layer, so liver visualization in a difficult issue in the research field. Meanwhile, because there are a lot of liver diseases, so the medical profession threw out an urgent requirement for liver visualization. The rendering speed and imaging quality are two most important aspects. The rendering speed determines the practicality and the imaging quality is the most important index to evaluate an algorithm. Considering the application demand of CAD and the development trend of three-dimensional medical image visualization, by integrating interpolation technique and optimization technology, this thesis improved the traditional Ray Casting Algorithm and proposed a new one based on cubic spline interpolation and transition function optimum technique. This algorithm can improve the imaging speed and quality. And with this algorithm, we implemented the liver visualization.We applied this approach to practical medical abdomen CT images for three-dimensional visualization and achieved a preferable result, which showed that the improved algorithm proposed in this thesis can improve the speed and quality of three-dimensional medical image visualization.