ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
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 کاملA New Method for Metal Artifact Reduction in CT Scan Images
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...
متن کاملMadr : Metal Artifact Detection and Reduction
Metal in CT-imaged objects drastically reduces the quality of these images due to the severe artifacts it can cause. Most metal artifacts reduction (MAR) algorithms consider the metal-affected sinogram portions as the corrupted data and replace them via sophisticated interpolation methods. While these schemes are successful in removing the metal artifacts, they fail to recover some of the edge ...
متن کاملMetal Artifact Reduction of Dental Fillings in Head and Neck CT Images
Introduction: The issue of metal artifact and its reduction is as old as the clinical use of computed tomography itself. When metal objects such as dental fillings, hip prostheses or surgical clips are present in the computed tomography (CT) field of view (FOV), make severe artifacts that reduce the image quality and accuracy of CT numbers. They can lead to unreliable ...
متن کاملA segmentation-based method for metal artifact reduction.
RATIONALE AND OBJECTIVES We propose a novel segmentation-based interpolation method to reduce the metal artifacts caused by surgical aneurysm clips. MATERIALS AND METHODS Our method consists of five steps: coarse image reconstruction, metallic object segmentation, forward-projection, projection interpolation, and final image reconstruction. The major innovations are 2-fold. First, a state-of-...
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ژورنال
عنوان ژورنال: IEEE Transactions on Medical Imaging
سال: 2020
ISSN: 0278-0062,1558-254X
DOI: 10.1109/tmi.2019.2933425