Identification of Personal Characteristics and Linear Attenuation Coefficients Using Bayesian Hierarchical model for Spectral CT

Abstract

We propose a new regularization method using spectral X - ray CT with patient - specific characteristic parameters. In this method, firstly, the characteristic parameter unique to the patient is identified by applying a hierarchical Bayesian model. Secondly, a tomographic image of the X-ray attenuation coefficient is reconstructed by the MAP method with the previous identified characteristic parameters. In order to show the effectiveness of this method, we performed verification using numerical simulation.