ISSN 1004-4140
CN 11-3017/P
郭俏, 姚旭峰. 双能CT图像域基材料分解算法的研究进展[J]. CT理论与应用研究, 2023, 32(1): 139-146. DOI: 10.15953/j.ctta.2021.067.
引用本文: 郭俏, 姚旭峰. 双能CT图像域基材料分解算法的研究进展[J]. CT理论与应用研究, 2023, 32(1): 139-146. DOI: 10.15953/j.ctta.2021.067.
GUO Q, YAO X F. Progress of Material Decomposition Algorithms in Dual-energy CT Imaging[J]. CT Theory and Applications, 2023, 32(1): 139-146. DOI: 10.15953/j.ctta.2021.067. (in Chinese).
Citation: GUO Q, YAO X F. Progress of Material Decomposition Algorithms in Dual-energy CT Imaging[J]. CT Theory and Applications, 2023, 32(1): 139-146. DOI: 10.15953/j.ctta.2021.067. (in Chinese).

双能CT图像域基材料分解算法的研究进展

Progress of Material Decomposition Algorithms in Dual-energy CT Imaging

  • 摘要: 能谱CT可产生不同X射线能量下的基材料图像,所产生的基材料图像可用于组织成分和造影剂分布的定性与定量评价,且对成像物质分离、鉴别的能力明显优于传统单能CT。能谱CT中双能谱技术是最常用的模式之一,在临床应用中发挥了重大作用。本文就双能谱CT图像域基材料分解的两物质分解、多物质分解方法进行总结,最后展望未来可能的发展方向。

     

    Abstract: Spectral CT can produce basis materials with different X-ray energies. Subsequently, the generated basis materials can be used for qualitative and quantitative evaluation of tissue components and contrast agent distribution. This approach presents a superior ability to separate and identify imaging materials compared to traditional single-energy CT. Dual-energy spectrum technology is one of the most commonly used modes in spectrum CT, which plays an important role in clinical application. In this study, the decomposition methods of a basis material in the image domain of dual-energy spectrum CT were classified into two categories: two-material decomposition and multi-material decomposition. Finally, these methods are summarized and trend of future development is addressed.

     

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