修补
工件(错误)
人工智能
计算机视觉
图像质量
还原(数学)
计算机科学
计算机断层摄影术
图像(数学)
数学
放射科
医学
几何学
作者
Esther Meyer,Rainer Raupach,Bernhard Schmidt,Andreas H. Mahnken,Marc Kachelrieß
标识
DOI:10.1109/nssmic.2011.6152691
摘要
Metal artifacts drastically impair the image quality in CT images and often reduce their diagnostic value. There are many publications on metal artifact reduction (MAR) which regard the metal-affected parts of the rawdata as completely unreliable and therefore replace it. While those sinogram inpainting methods are in general successful in removing metal artifacts, they cannot exactly recover the true values which are replaced and therefore the corrected image will exhibit new artifacts and blurring.
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