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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. 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. image reconstruction from LAR data is formulated as a convex optimization problem in which data-ℓ 2 is minimized with constraints on image's DTVs along orthogonal axes. We then achieve image reconstruction by applying the DTV algorithm to solve the optimization problem. We conduct numerical studies from data generated over arcs of LARs, ranging from 14 to 180, and perform visual inspection and …