Reconstruction of CT images by the Bayes-back projection method

Haruyama, Mitsuo; Takase, Misao*; Iwasaki, Shin*; Tobita, Hiroshi

In the course of research on quantitative assay of non-destructive measurement of radioactive waste, the authors have developed a unique program based on the Bayesian theory for reconstruction of transmission computed tomography (TCT) image. The reconstruction of cross-section images in the CT technology usually employs the Filtered Back Projection method. The new imaging reconstruction program reported here is based on the Bayesian Back Projection method, and it has a function of iterative improvement images by every step of measurement. Namely, this method has the capability of prompt display of a cross-section image corresponding to each angled projection data from every measurement. Hence, it is possible to observe an improved cross-section view by reflecting each projection data in almost real time. The present reconstruction program developed here for the -ray CT can widely applied also to, for instance, the Neutron Imaging and the Positron Emission Tomography (PET).