Deep Sinogram Completion With Image Prior for Metal Artifact Reduction in CT Images
نویسندگان
چکیده
منابع مشابه
Sinogram constrained TV-minimization for metal artifact reduction in CT
A new method for reducing metal artifacts in X-ray computed tomography (CT) images is presented. It bases on the solution of a convex optimization problem with inequality constraints on the sinogram, and total variation regularization for the reconstructed image. The Chambolle-Pock algorithm is used to numerically solve the discretized version of the optimization problem. As proof of concept we...
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PURPOSE In computed tomography, metallic objects in the scanning field create the so-called metal artifacts in the reconstructed images. Interpolation-based methods for metal artifact reduction (MAR) replace the metal-corrupted projection data with surrogate data obtained from interpolation using the surrounding uncorrupted sinogram information. Prior-based MAR methods further improve interpola...
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Introduction In CT imaging, metallic implants inside the tissues cause metal artifact that reduce the quality of image for diagnosis. In order to reduce the effect of this artifact, a new method with more appropriate results has been presented in this research work. Materials and Methods The presented method comprised of following steps: a) image enhancement and metal areas extraction, b) sinog...
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1 Laboratory of Image Science and Technology, Southeast University, Nanjing 210096, China 2 Centre de Recherche en Information Biomedicale Sino-Francais (LIA CRIBs), 35042 Rennes, France 3 Laboratoire Traitement du Signal et de l’Image (LTSI) INSERM U642, Université de Rennes I, 35042 Rennes Cedex, France 4 Department of Radiology, General Hospital of Tianjin Medical University, Tianjing 300052...
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ژورنال
عنوان ژورنال: IEEE Transactions on Medical Imaging
سال: 2021
ISSN: 0278-0062,1558-254X
DOI: 10.1109/tmi.2020.3025064