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Updated: Feb 7, 2026

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以事实为基础的物理学在光谱CT中根据密度和有效原子数来估计物质组成

Jainam Hiteshkumar Valand1, Mojtaba Zarei2, Jayasai Rajagopal3

  • 1Radiology, Duke University, 2424 Erwin Rd, Durham, North Carolina, 27705, UNITED STATES.

Physics in medicine and biology
|February 5, 2026
PubMed
概括

一个新的基于物理的深度学习模型准确地将光谱CT图像分解成密度和有效的原子数图. 这种方法增强了病变的明显性,为医学成像分析提供了一个有前途的工具.

关键词:
用光谱成像进行成像.这是深度学习.材料的分解 材料的分解物理规范化规范化

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