Metal Artifact Reduction for X-Ray Computed Tomography Using U-Net in Image Domain
نویسندگان
چکیده
منابع مشابه
Evaluation of Metal Artifact Reduction software in Computed Tomography
Introduction: The image quality of computed tomography (CT) can be seriously lowered by metal implants of patients. These implants are known to exert a significant impact on diagnostic accuracy due to artifacts. The current study aimed to assess the usefulness of Metal Artifact Reduction (MAR) software in the reduction of metal artifacts, in comparison to iterative rec...
متن کاملEdge–Preserving Metal Artifact Reduction in Computed Tomography
Esther Meyer1,2, Rainer Raupach2, Michael Lell3, Bernhard Schmidt2, and Marc Kachelrieß1,4 1Institute of Medical Physics, Friedrich–Alexander University of Erlangen–Nürnberg (FAU), Erlangen, Germany 2Siemens Healthcare, Forchheim, Germany 3Institute of Diagnostic Radiology, Friedrich–Alexander University of Erlangen–Nürnberg (FAU), Erlangen, Germany 4Medical Physics in Radiology, German Cance...
متن کاملFrequency split metal artifact reduction (FSMAR) in computed tomography.
PURPOSE The problem of metal artifact reduction (MAR) is almost as old as the clinical use of computed tomography itself. When metal implants are present in the field of measurement, severe artifacts degrade the image quality and the diagnostic value of CT images. Up to now, no generally accepted solution to this issue has been found. In this work, a method based on a new MAR concept is present...
متن کاملX-ray CT Metal Artifact Reduction Using Wavelet Domain Sparse Regularization
X-ray computed tomography (CT) imaging of patients with metallic implants usually suffers from streaking metal artifacts. In this paper, we propose a new projection completion metal artifact reduction (MAR) algorithm by formulating the completion of missing projections as a regularized inverse problem in the wavelet domain. The Douglas-Rachford splitting (DRS) algorithm was used to iteratively ...
متن کاملX-ray CT metal artifact reduction using wavelet domain L0 sparse regularization.
X-ray computed tomography (CT) imaging of patients with metallic implants usually suffers from streaking metal artifacts. In this paper, we propose a new projection completion metal artifact reduction (MAR) algorithm by formulating the completion of missing projections as a regularized inverse problem in the wavelet domain. The Douglas-Rachford splitting (DRS) algorithm was used to iteratively ...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2930302