Two Parameter Image Representation in 3D Biomedical Visualization with CT Images

Three space dimension model representation plays a key role in medical image processing, surgical plan decision, computer-aided diagnosis (CAD) and other medical activities. A three space dimension face model of biomedical visualization is proposed in the paper through two parameter image representation, which are based on these three facts: 1. three space dimension simple surface could be represented by two free parameters; 2. any three space dimension simple surface could be two smooth manifold in three space dimension embed problem; 3. simple surface visualization is one important aspects of biomedical visualization. Without extraction of the volume data from these images from computer computed tomography (CT), the method is accomplished through extraction of contours from these images and map these points into their two parameter space while their geometric properties are easy to be calculated and scale properties relationships between their three dimension space are also to be determined. Given the extraction algorithms of contours from these images and the map which the method used, geometric and scale relationship are listed in the paper as well as the implements of the method through numerical tests.