k-t FASTER: Acceleration of functional MRI data acquisition using low rank constraints.
k-t FASTER: Acceleration of functional MRI data acquisition using low rank constraints.
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DOI：
10.1002/mrm.25395
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发表时间：
2015-08
影响因子：
3.3
通讯作者：
Miller KL
中科院分区：
文献类型：
--
作者：
Chiew M;Smith SM;Koopmans PJ;Graedel NN;Blumensath T;Miller KL
在功能磁共振成像（fMRI）中，更快的数据采样可以提供更丰富的时间信息，增加时间自由度。然而，加速通常是在逐个体积的基础上执行的，而不考虑内在的时空数据结构。我们提出了一种加速fMRI数据采集的新方法，k-t FASTER（通过截断有效秩在时空中加速的fMRI），它利用了fMRI数据的低秩结构。使用矩阵补全，使用迭代非线性算法（线圈独立）重建4.27×回顾性和前瞻性欠采样数据，并比较几种不同的重建策略。评估矩阵重构误差；采用双回归分析确定恢复的fMRI静息状态网络（rsn）的保真度。回顾性抽样数据表明，k-t FASTER产生的误差最低，约为3-4%，并且产生的rsn质量最高。这些结果在前瞻性欠采样实验中得到了验证，与相同持续时间的完全采样采集相比，k-t FASTER对rsn的识别效果更好。使用k-t FASTER，仅使用秩约束就可以鲁棒地恢复非相干欠采样fMRI数据。该技术可用于提高fMRI采样的速度，特别是用于多变量分析，如时间独立分量分析。中华医学杂志，2015,34(4):357 - 364。©2014 Wiley期刊公司
In functional MRI (fMRI), faster sampling of data can provide richer temporal information and increase temporal degrees of freedom. However, acceleration is generally performed on a volume-by-volume basis, without consideration of the intrinsic spatio-temporal data structure. We present a novel method for accelerating fMRI data acquisition, k-t FASTER (FMRI Accelerated in Space-time via Truncation of Effective Rank), which exploits the low-rank structure of fMRI data. Using matrix completion, 4.27× retrospectively and prospectively under-sampled data were reconstructed (coil-independently) using an iterative nonlinear algorithm, and compared with several different reconstruction strategies. Matrix reconstruction error was evaluated; a dual regression analysis was performed to determine fidelity of recovered fMRI resting state networks (RSNs). The retrospective sampling data showed that k-t FASTER produced the lowest error, approximately 3–4%, and the highest quality RSNs. These results were validated in prospectively under-sampled experiments, with k-t FASTER producing better identification of RSNs than fully sampled acquisitions of the same duration. With k-t FASTER, incoherently under-sampled fMRI data can be robustly recovered using only rank constraints. This technique can be used to improve the speed of fMRI sampling, particularly for multivariate analyses such as temporal independent component analysis. Magn Reson Med 74:353–364, 2015. © 2014 Wiley Periodicals, Inc.