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多读器多参数DECT研究评估代和基于深度学习的图像重建技术的不同优势

Jinjin Cao1, Nayla Mroueh1, Simon Lennartz1,2

  • 1Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114-2696, USA.

European radiology
|July 24, 2024
PubMed
概括

在双能CT (DECT) 中的深度学习图像重建 (DLIR) 显著改善了图像质量,而不是自适应统计代重建-V (ASIR-V). 对于噪音,对比度和清晰度,DLIR-H提供了最高的分数,提高了诊断信心.

关键词:
这里是 Abdomen Abdomen 的意思.适应性统计代重建的适应性统计重建.计算机断层扫描 (CT) 是一种计算机断层扫描.深度学习是一种深度学习.双能量CT是双能量CT.

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