图像质量
工件(错误)
像素
探测器
光学
计算机科学
单色
公制(单位)
噪音(视频)
人工智能
计算机视觉
断层摄影术
相位恢复
光学(聚焦)
物理
图像(数学)
傅里叶变换
经济
量子力学
运营管理
作者
Linda C. P. Croton,Gary Ruben,Kaye S. Morgan,David M. Paganin,Marcus J. Kitchen
出处
期刊:Optics Express
[Optica Publishing Group]
日期:2019-05-13
卷期号:27 (10): 14231-14231
被引量:14
摘要
We present a pixel-specific, measurement-driven correction that effectively reduces errors in detector response that give rise to the ring artifacts commonly seen in X-ray computed tomography (CT) scans. This correction is easy to implement, suppresses CT artifacts significantly, and is effective enough for use with both absorption and phase contrast imaging. It can be used as a standalone correction or in conjunction with existing ring artifact removal algorithms to further improve image quality. We validate this method using two X-ray CT data sets acquired using monochromatic sources, showing post-correction signal-to-noise increases of up to 55%, and we define an image quality metric to use specifically for the assessment of ring artifact suppression.
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