Research On Parallel Image Reconstruction For Industrial Computed Tomography By Convolution Back Projection With Narrow Fan-beam

High power X-ICT which can detect large industrial parts has obvious significance in the field of aviation and military affairs. When X-ICT detects large industrial parts and requires high resolving power, image reconstruction of X-ICT has huge pixel matrix and the amount of calculation increases greatly resulting in much more time of image reconstruction.This paper proposes the parallel image reconstruction based on workstations cluster to solve fast image reconstruction of high power X-ICT．This paper presents the relevant basic theories and principles of ICT and image reconstruction, including scan mode and image reconstruction algorithm.High power X-ICT which adopts powerful beeline accelerator as radial source often uses narrow fan-beam scan mode. Its image reconstruction belongs to the image reconstruction under narrow fan-beam scan mode.After comparing different algorithms, this paper introduces convolution back projection algorithm for the parallel image reconstruction. convolution back projection algorithm has parallelism and the image reconstruction with such an algorithm has fine quality and high speed.This paper regards narrow fan-beam scan mode as multi-detector parallel beam scan mode. The narrow fan-beams are reset into parallel beam then the image reconstruction is conducted by parallel beam' convolution back projection algorithm, which combines the high scan efficiency with the convenience of image reconstruction.This paper analyses the parallelism in narrow fan-beam' convolution back projection algorithm, divides the task of image reconstruction into several subtasks, and discusses the parallelization of narrow fan-beam' decomposition and reset, parallel beam' convolution back projection, and image accumulation.The parallelization of image reconstruction by convolution back projection with narrow fan-beam based on workstations cluster can solve fast image reconstruction of high power X-ICT,and the speed of parallel image reconstruction relates to the numbers of workstations involved. Besides,considering the high ratio between quality and price, high scalability, the convenience and flexibility in development and utilization, selecting workstations cluster as parallelization environment can reduce the development and application cost of image reconstruction and has great significance upon increasing the ratio between quality and price of high power X-ICT.