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With low-dose scanning protocol, CT images are often severely corrupted by quantum noise and artifacts. Artifacts often take prominent directional features and are rather hard to be suppressed without blurring tissue structures. In this paper, we propose to improve low-dose CT (LDCT) images using a two-step scheme called “artifact suppressed dictionary learning algorithm” (ASDL). In the first step,...
Low-dose computed tomography (LDCT) images are often severely degraded by amplified mottle noise and streak artifacts. These artifacts are often hard to suppress without introducing tissue blurring effects. In this paper, we propose to process LDCT images using a novel image-domain algorithm called “artifact suppressed dictionary learning (ASDL).” In this ASDL method, orientation and scale information...
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