能量(信号处理)
计算机科学
噪音(视频)
图像质量
双重能量
对比度(视觉)
迭代重建
断层摄影术
生物医学工程
计算机视觉
辐射剂量
材料科学
图像(数学)
计算机断层摄影术
人工智能
核医学
物理
光学
放射科
医学
病理
量子力学
骨质疏松症
骨矿物
作者
David Chellini,Karen Kinman
出处
期刊:Radiologic technology
日期:2020-07-01
卷期号:91 (6)
被引量:2
摘要
X-ray spectra consist of high- and low-energy components that interact differently with atomic components of tissues and materials in the human body. Dual-energy computed tomography (CT) uses these differences to produce detailed anatomic and functional images not possible with traditional single-energy CT. Dual-energy CT can digitally subtract materials and tissues from images and enhance iodine contrast without the added image noise typical with low-energy settings. Techniques such as iterative reconstruction with postprocessing algorithms can improve image quality and provide more information without increasing overall radiation dose and can lower dose in some cases.
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