Image Reconstruction from Real Dual Energy CT Data Using an Analytical Energy Response Model

Abstract

Dual energy computed tomography (DECT) enables access to the energy-dependence of the linear attenuation coefficient of X-rays. Such information can be used to perform material decomposition; and to subsequently compute mono-energetic images for contrast improvement and reduction of beam hardening artifacts compared to images obtained from single energy computed tomography (CT) systems. Last year at IEEE MIC, we introduced an analytical energy response model with embedded patient-specific scatter correction and demonstrated that this model performs well in the context of single material beam hardening correction. Here, the value of the model is investigated for material decomposition of real dual energy CT data. Specifically, we demonstrate that the model enables robust material decomposition for the ACR phantom from a state-of-the-art diagnostic CT scanner, under the assumption that the two scans are acquired in the same geometry.