| 双能CT图像域基材料分解算法的研究进展 |
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| 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. |
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| 作者姓名： | 郭俏 姚旭峰 |
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| 作者单位： | 1.上海理工大学健康科学与工程学院, 上海200093 |
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| 基金项目： | 科技部国家重点研发计划（基于区块链的老年主动健康智能照护平台研究与应用示范（2020YFC2008700））；国家自然科学基金面上项目(基于智能影像组学技术的阿尔兹海默病早期预测方法研究（61971275））；国家自然科学基金重点项目（代谢影像组学智能预测肺癌靶向耐药的关键技术与应用（81830052））；上海市科委地方高校能力建设项目（脑龄多组学智能分析技术在慢性脑退行性疾病中的早期预测与评估研究（23010502700））。 |
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| 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。
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| 关 键 词： | 能谱CT 双能CT 图像域 基材料分解 |
| 收稿时间： | 2021-12-17 |
Progress of Material Decomposition Algorithms in Dual-energy CT Imaging |
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| Institution: | 1.School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China2.College of Medical Imaging, Shanghai University of Medicine & Health Sciences, Shanghai 201308, China |
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| 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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