Multi-Material Blind Beam Hardening Correction Based on Non-Linearity Adjustment of Projections

TL;DR

This paper introduces a fast, material-agnostic beam hardening correction method for CT imaging that adjusts projection non-linearity to significantly reduce artifacts without prior material knowledge.

Contribution

The work presents a novel correction approach that estimates material properties and adjusts projections to correct beam hardening artifacts efficiently and accurately.

Findings

Significantly reduces beam hardening artifacts in real CT data.

Does not require prior knowledge of materials.

Outperforms existing empirical correction methods.

Abstract

Beam hardening (BH) is one of the major artifacts that severely reduces the quality of Computed Tomography (CT) imaging. In a polychromatic X-ray beam, since low-energy photons are more preferentially absorbed, the attenuation of the beam is no longer a linear function of the absorber thickness. The existing BH correction methods either require a given material, which might be unfeasible in reality, or they require a long computation time. This work aims to propose a fast and accurate BH correction method that requires no prior knowledge of the materials and corrects first and higher-order BH artifacts. In the first step, a wide sweep of the material is performed based on an experimentally measured look-up table to obtain the closest estimate of the material. Then the non-linearity effect of the BH is corrected by adding the difference between the estimated monochromatic and the polychromatic simulated projections of the segmented image. The estimated monochromatic projection is simulated by selecting the energy from the polychromatic spectrum which produces the lowest mean square error (MSE) with the acquired projection from the scanner. The polychromatic projection is estimated by minimizing the difference between the acquired projection and the weighted sum of the simulated polychromatic projections using different spectra of different filtration. To evaluate the proposed BH correction method, we have conducted extensive experiments on the real-world CT data. Compared to the state-of-the-art empirical BH correction method, the experiments show that the proposed method can highly reduce the BH artifacts without prior knowledge of the materials.