ℓ0 Gradient Minimization Based Image Reconstruction for Limited-Angle Computed Tomography.

ABSTRACT: In medical and industrial applications of computed tomography (CT) imaging, limited by the scanning environment and the risk of excessive X-ray radiation exposure imposed to the patients, reconstructing high quality CT images from limited projection data has become a hot topic. X-ray imaging in limited scanning angular range is an effective imaging modality to reduce the radiation dose to the patients. As the projection data available in this modality are incomplete, limited-angle CT image reconstruction is actually an ill-posed inverse problem. To solve the problem, image reconstructed by conventional filtered back projection (FBP) algorithm frequently results in conspicuous streak artifacts and gradual changed artifacts nearby edges. Image reconstruction based on total variation minimiza

SUBMITTER: Yu W 

PROVIDER: S-EPMC4497654 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature