Dual-energy CT imaging with limited-angular-range data.

ABSTRACT: In dual-energy computed tomography (DECT), low- and high-kVp data are collected often over a full-angular range (FAR) of 360°. While there exists strong interest in DECT with low- and high-kVp data acquired over limited-angular ranges (LARs), there remains little investigation of image reconstruction in DECT with LAR data.Objective: we investigate image reconstruction with minimized LAR artifacts from low- and high-kVp data over LARs of ≤180° by using a directional-total-variation (DTV) algorithm.Methods: image reconstruction from LAR data is formulated as a convex optimization problem in which data-ℓ₂is minimized with constraints on image's DTVs along orthogonal axes. We then achieve image reconstruction by applying the DTV algorithm to solve the optimizati

SUBMITTER: Chen B 

PROVIDER: S-EPMC8704637 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature