JUST-Net:基于跨域优化的联合展开的时空重建网络,用于加速的3D髓水成像
Jae-Hun Lee1,2, Jae-Yoon Kim1, Kanghyun Ryu2
1Department of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea.
Magnetic resonance in medicine
|February 11, 2024
概括
简单的网络加速3D多回声梯度回声 (mGRE) 采集用于髓水成像 (MWI). 这种新型网络可以提高MWI地图质量,减少扫描时间,帮助临床应用.
科学领域:
- 生物医学成像技术 生物医学成像技术
- 磁共振成像是一种磁共振成像技术.
- 神经成像是一种神经成像.
背景情况:
- 髓水成像 (MWI) 提供了关于白质完整性的关键信息.
- 加快3D多回声梯度回声 (mGRE) 获取对于临床可行性至关重要.
- 当前的MWI技术面临着长时间的采集时间和运动工件的挑战.
研究的目的:
- 引入JUST-Net,这是一个用于加速3D mGRE采集的新型重建网络.
- 提高髓水成像 (MWI) 地图的质量和可重复性.
- 为了减少整个大脑MWI的整体扫描时间.
主要方法:
- 共同开发了一个基于跨域优化的空间-时间重建网络 (JUST-Net).
- 结合频率和时空特征表示,使用两个领域的顺序卷曲.
- 通过回顾性和前性加速,模拟和现实世界的k空间受损数据评估JUST-Net.
主要成果:
- 实现了全脑MWI的高度可复制,加速的3DmGRE获取,将时间从15:23分缩短到2:22分.
- 重建的mGRE图像显示与完全采样数据相比,<4.0%的正常化根平均平方误差增加.
- MWI相关系数超过0.68,该方法减轻了模拟和临床运动工件.
结论:
- 对于基于3D mGRE的MWI,JUST-Net可以实现高加速度因子.
- 开发的网络大大缩短了获取时间,促进了MWI的广泛临床采用.
- 简单地说,JUST-Net 证明了对 k-space 腐败和运动工件的稳定性.
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