Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA; Harvard-MIT Health Sciences and Technology, MIT, Cambridge, Massachusetts, USA; Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA.
Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, USA; Electrical Engineering and Computer Science, MIT, Cambridge, Massachusetts, USA.
Neuroimage. 2022 Apr 15;250:118963. doi: 10.1016/j.neuroimage.2022.118963. Epub 2022 Feb 2.
Multi-parametric quantitative MRI has shown great potential to improve the sensitivity and specificity of clinical diagnosis and to enhance our understanding of complex brain processes, but suffers from long scan time especially at high spatial resolution. To address this longstanding challenge, we introduce a novel approach, termed 3D Echo Planar Time-resolved Imaging (3D-EPTI), which significantly increases the acceleration capacity of MRI sampling, and provides high acquisition efficiency for multi-parametric MRI. This is achieved by exploiting the spatiotemporal correlation of MRI data at multiple timescales through new encoding strategies within and between efficient continuous readouts. Specifically, an optimized spatiotemporal CAIPI encoding within the readouts combined with a radial-block sampling strategy across the readouts enables an acceleration rate of 800 fold in the k-t space. A subspace reconstruction was employed to resolve thousands of high-quality multi-contrast images. We have demonstrated the ability of 3D-EPTI to provide robust and repeatable whole-brain simultaneous T, T, T*, PD and B mapping at high isotropic resolution within minutes (e.g., 1-mm isotropic resolution in 3 minutes), and to enable submillimeter multi-parametric imaging to study detailed brain structures.
多参数定量磁共振成像 (MRI) 已经显示出极大的潜力,可以提高临床诊断的敏感性和特异性,并增强我们对复杂大脑过程的理解,但它的扫描时间通常很长,特别是在高空间分辨率下。为了解决这个长期存在的挑战,我们引入了一种新的方法,称为 3D 回波平面时间分辨成像 (3D-EPTI),它显著提高了 MRI 采样的加速能力,并为多参数 MRI 提供了高效的采集效率。这是通过利用在多个时间尺度上的 MRI 数据的时空相关性来实现的,这些相关性是通过在高效连续读取内和之间的新编码策略来实现的。具体来说,在读取内结合径向块采样策略的优化时空 CAIPI 编码可以在 k-t 空间中实现 800 倍的加速。采用子空间重建来解决数千张高质量的多对比度图像。我们已经证明了 3D-EPTI 的能力,可以在几分钟内提供稳健且可重复的全脑同时 T、T、T*、PD 和 B 映射,具有高各向同性分辨率(例如,3 分钟内达到 1 毫米各向同性分辨率),并能够实现亚毫米多参数成像,以研究详细的大脑结构。