Study Of Rendering 3D Reconstruction Ultrasound Medical Image

The Ultrasound medical Imaging is the main area of Medical image Visualization. The purpose of 3D reconstruction for Ultrasound medical images is to reconstruct 3D images model with 2D medical images sequence by 3D visualization technologies. It can visualize the videos and lay out 3D configuration of human organs and tissues, provides more comprehensive medical information directly, and has more practical value in clinical diagnosis, treatment and basic medical study. In this paper, we discuss the key technologies of 3D reconstruction. Transformed the 3D voxel data from no-criterion to criterion. we studied Tri-interpolation algorithm which is the key technique in 3D reconstruction and we present a quick technique. At last, we discussed the accelerating algorithm based on the light-coherence; we adopt the accelerating algorithm of ray-casting in using light space leaping.First, present the latest research achievements and development of Ultrasound medical imaging, analyze the theory of medical ultrasound images and list the key technologies, compare the main algorithm of 3D reconstruction, analyze the main accelerating algorithm.Secondly, we study the fundamental and the basic operation of the 3D ultrasound imaging. We adopt a series of emulation experiments for the parallel scanning; For the rotation 2D images sequence, we adopted the distance- weighted average value of this matching point as the voxel value again, in order to resolve some key questions about 3D Ultrasound image reconstruction from irregularly sampled and implement the transformation the 3D voxel data from no-criterion to criterion.Surface rendering and volume rendering are the common algorithms of 3D reconstruction; we adopted the ray-casting algorithm after studying the characteristic of 3D ultrasound imaging reconstruction. We proposed the quickly Tri-interpolation algorithm, which is a key technique in 3D reconstruction. This quickly interpolation algorithm will speed the rendering with few influence on images. In the end, compared the classical algorithm and ours, some experimental data and results are presented.At last, we study the accelerating ray-casting algorithm. We adopt the light weight space leaping technique to accelerate ray-casting based on analysis light coherence. We define a cell as a cubical region with voxels on all of its eight comers and no voxels inside. The main method of the light weight space leaping technique is using the coherence of detector rays. A cell is called empty or transparent when the opacity of all the voxels on its corners is zero. This results in zero opacity for all sample points inside the cell. The total operations of linear interpolation samples are reduced by dividing the detector rays and space leaping rays from all rays to divide voxel. In the end, compared the classical algorithms and ours, some experimental data and results are presented.