2D CAIPI 加速 3D 多板扩散加权 EPI 与 qModeL 重建相结合,用于快速高分辨率的微结构成像
1Department of Radiology, University of Iowa, Iowa City, IA, United States of America.
Magnetic resonance imaging
|April 10, 2024
概括
对于3D多板式扩散加权成像 (3D ms-DWI) 的新加速策略显著减少了扫描时间. 这使得高级神经成像应用的高空间和角度分辨率成为可能.
科学领域:
- 医疗成像医学成像
- 扩散加权成像是一种扩散加权成像.
背景情况:
- 3D多板扩散加权成像 (3D ms-DWI) 提供高信号噪声比效率和同位素空间分辨率.
- 在3D ms-DWI中实现高角度分辨率受到长时间扫描时间的限制.
研究的目的:
- 为3D ms-DWI.开发6D k-q空间加速策略.
- 通过缩短扫描时间,实现需要同时具有高空间 (1毫米同otropic) 和角 (>30个方向) 分辨率的应用.
主要方法:
- 实现了非统一的3D k_y-k_z低采样与射击选择性的2D CAIPI.
- 利用2D导航器进行镜头间相位补偿,并将相位纳入基于模型的3D多镜头重建中.
- 扩展重建到联合q空间重建,具有空间总变化和深度学习的q空间规范化.
主要成果:
- 拟议的重建在加速的2D CAIPI和k_y-k_z样本不足的情况下实现了足够的阶段补偿.
- 回顾性实验表明,k-q加速率高达12倍,重建误差<3%.
- 在高空间和角度分辨率实验中,扫描时间减少了3倍.
结论:
- 开发的方法使得3D ms-DWI能够用于高k-q分辨率的应用.
- 扫描时间缩短了大约3倍,促进了先进的神经成像.
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