A Computed Imaging System Using Wavelets Sampling Model

A computed 3D imaging system based on local image reconstruction (LIR) using Wavelets Sampling Model is presented. In this paper, by means of combination of wavelets sampling model and singular value decomposition, moderate CT image with least squares of error can be reconstructed from a limited number of projections by only once operation of matrix multiplication. As a result, local image reconstruction idea is proposed to reduce quantity of calculation and memory. In addition, as this algorithm is suitable for being achieved by massive parallel processing, we show an outline of VLSI parallel processor with it. As the method reduces reconstructing computation and simplifies projection data acquisition, it becomes possible to develop faster and more compact industry-oriented 3D CT system. Computer simulation of 3D image and design for VLSI and industry-oriented 3D CT system with this method are presented a t last.