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通过多带SENSE多重重叠回声脱离成像和深度学习进行次秒全脑T2映射.

Simin Li1, Taishan Kang2, Jian Wu1

  • 1Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, People's Republic of China.

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概括
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我们将多频段SENSE (MB-SENSE) 与多重叠回声分离 (MOLED) 成像相结合,在600毫秒以下实现全脑T2映射. 一个插即用算法提高了图像质量,使得定量核磁共振更快.

关键词:
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科学领域:

  • 磁共振成像是一种磁共振成像技术.
  • 定量成像技术 定量成像技术
  • 医学物理 医学物理

背景情况:

  • 定量磁共振成像 (qMRI) 方法通常耗时.
  • 多重重叠回声分离器 (MOLED) 提供快速的单片T2映射 (约100毫秒).
  • 使用MOLED进行全脑成像仍然需要几秒钟,这限制了其临床实用性.

研究的目的:

  • 通过同时使用多切片成像来加速全脑T2映射.
  • 将多带SENSE (MB-SENSE) 技术与MOLED (MB-MOLED) 集成在一起.
  • 为了提高加速的MB-MOLED中的图像质量,使用带有深度学习的插件和播放 (PnP) 算法.

主要方法:

  • 开发并实施了一种多带MOLED (MB-MOLED) 脉冲序列.
  • 利用深度学习 (U-Net) 来进行T2地图重建.
  • 应用了PnP算法与DRUNet消毒器,以提高高多带因子 (MB) 的图像质量.
  • 通过数值模拟,幻影实验和体内人类大脑成像验证了这一方法.

主要成果:

  • 数字模拟证明了PNP算法的有效性,在较低的信号噪声比率下改善T2地图质量.
  • MB-MOLED保持了MOLED的准确性,结果与幻影研究中的参考方法一致.
  • 在体内实验表明,PNP算法在MB=4.4时显著改善了T2地图质量.
  • 在600毫秒内使用MB-MOLED实现了第一个全脑T2映射,MB=4.4.

结论:

  • MB-SENSE和MOLED可以有效地结合起来,用于快速定量成像.
  • 开发的MB-MOLED技术使得次秒全脑T2映射成为可能.
  • 在加速采集过程中,PNP算法对于保持图像质量至关重要.
  • 这种方法对于需要高时间分辨率的动态和功能性qMRI应用具有显著的前景.