在临床前扩散磁共振成像中对核心低级压缩传感的评估
Diego Alves Rodrigues de Souza1, Hervé Mathieu1,2, Jean-Christophe Deloulme1
1Université Grenoble Alpes, INSERM, U1216, Grenoble Institut Neurosciences, Grenoble, France.
Frontiers in neuroscience
|June 19, 2023
概括
核心低级压缩传感 (KLR-CS) 加快了临床前扩散MRI. 这种使用低分辨率相位图的新方法优于传统的CS,使得扫描速度更快,数据损失最小.
科学领域:
- 生物医学成像技术 生物医学成像技术
- 神经科学是一个神经科学.
- 磁共振成像技术 磁共振成像技术
背景情况:
- 压缩传感 (CS) 加快了临床扩散MRI,但在临床前研究中未得到充分利用.
- 临床前扩散MRI通常需要很长的采集时间,这限制了其应用.
- 优化CS重建方法对于推进临床前成像至关重要.
研究的目的:
- 优化和比较传统的CS (BART-CS) 与用于临床前扩散MRI的新型内核低级CS (KLR-CS) 方法.
- 在各种加速度因子 (AF) 上使用低分辨率相位图 (LRP) 评估KLR-CS的性能.
- 评估CS重建对图像质量指标和小鼠模型中曲谱学的影响.
主要方法:
- 3D CS扩散MRI采集在9.4T进行,小鼠使用4元素冷卷.
- 两种重建方法进行了比较:BART-CS和KLR-CS (基于内核主要组件分析和LRP地图).
- 用FA和MD地图上的错误和SSIM指标以及特定大脑结构的通道图进行了回顾性和前性低样本评估,AF高达6个.
主要成果:
- 对于FA和MD地图,KLR-CS表现出比BART-CS高于AF=6的性能,以及通道图,最大误差较低 (例如,在AF=4时4.9%与8.0%相比).
- 与模拟相比,采集噪声和环境因素增加了与模拟相比的潜在亚样采集的错误,但KLR-CS仍然显示了更好的结果 (7.0%与AF=4时的10.5%相比).
- 在AF=2时,KLR-CS提供了与FA,MD和通道图完全采样数据的可比结果;AF=4只显示了轻微的降解.
结论:
- 特别是在使用LRP地图时,KLR-CS是一种强大而有效的方法,可以加速临床前扩散.
- 这种方法大大缩短了采集时间,同时保持了高图像质量,并保留了关键的扩散指标和曲谱信息.
- KLR-CS有望限制频率漂移等人工物,并提高临床前扩散MRI研究的效率.
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