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When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
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无参考减少旋回声回声平面成像扭曲,使用生成位移映射.

Chung-Chin Kuo1, Teng-Yi Huang1, Yi-Ru Lin2

  • 1Department of Electrical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.

Magnetic resonance in medicine
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概括

一种新的无参考方法使用生成对抗网络来纠正无参考扫描的回声平面成像 (EPI) 扭曲. 这种方法可以提高扩散MRI数据的准确性和对回顾性研究的图像记录.

关键词:
在EPI中出现扭曲.深度学习是一种深度学习.逆转的梯度梯度是什么

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科学领域:

  • 医疗成像医学成像
  • 神经成像是一种神经成像.
  • 计算神经科学是一种神经科学.

背景情况:

  • 声平面成像 (EPI) 对于扩散MRI至关重要,但易受几何扭曲的影响.
  • 回顾性研究往往缺乏必要的参考扫描 (现场地图或反向梯度扫描) 来纠正扭曲.
  • 准确的EPI数据对于可靠的扩散指数计算和解剖记录至关重要.

研究的目的:

  • 开发一种完全自动的,无引用的方法来纠正EPI扭曲.
  • 为了在缺乏参考场地图或反向梯度扫描的回顾性研究中允许纠正扭曲.
  • 专门针对使用前后或后前相编码获得的EPI数据.

主要方法:

  • 使用生成对抗网络 (GAN) 来生成一个位移地图.
  • 从扩散电位数据输入一个3D原始b0体积到GAN.
  • 在整个扩散数据集中应用生成的移位图来纠正EPI图像.

主要成果:

  • 证明有效地减少EPI数据集中的几何扭曲.
  • 显示扩散指数的准确性有所提高.
  • 显著增强了EPI和高分辨率T1加权图像 (p < 0.01) 之间的同登录.

结论:

  • 开发了一种实用的,无参考的EPI扭曲校正方法.
  • 公开发布该方法作为一个独立的应用程序.
  • 为回顾性研究提供了有价值的工具,以提高EPI数据质量和扩散度的准确性.