在这份报纸,一种新奇重建技术为多相的流动基于水平集合方法和代数学的重建技术被建议计算断层摄影术(CT ) 系统。弯曲驱动的噪音减小方法被插入到代数学的重建技术的常规重复过程与有限设计数据改进图象质量和集中速度。由在每 updation 以后作为一套 iso 紧张轮廓发展图象,为可接受的结果的重复的足够的数字被 80%90% 减少,当图象质量显然被提高时。图象质量的量的评估被两个都使用相对图象错误和关联系数给。结果的图象能被利用为监视工业多相的流动检测流动政体。实验室结果表明建议方法的可行性。四典型流动政体的幽灵能高效地从很少看法设计数据被重建,并且相应图象错误和关联系数为在这份报纸测试的盒子是可接受的。
In this paper, a novel reconstruction technique based on level set method and algebraic reconstruction technique is proposed for multiphase flow computed tomography (CT) system. The curvature-driven noise reduction method is inserted into the conventional iteration procedure of algebraic reconstruction technique to improve the image quality and convergence speed with limited projection data. By evolving the image as a set of iso-intensity contours after each updation, the sufficient number of iterations for acceptable results is reduced by 80%--90%, while the image quality is enhanced obviously. Quantitative evaluation of image quality is given by using both relative image error and correlation coefficient. The resultant images can be utilized to detect flow regimes for monitoring industrial multiphase flow. Laboratory results demonstrate the feasibility of the proposed method. Phantoms of four typical flow regimes can be reconstructed from few-view projection data efficiently, and the corresponding image errors and correlation coefficients are acceptable for the cases tested in this paper.