High spatial resolution compressed sensing (HSPARSE) functional MRI.
High spatial resolution compressed sensing (HSPARSE) functional MRI.
复制标题
高空间分辨率压缩感知（HSPARSE）功能磁共振成像。
DOI：
10.1002/mrm.25854
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发表时间：
2016-08
影响因子：
3.3
通讯作者：
Lee JH
中科院分区：
文献类型：
--
作者：
Fang Z;Van Le N;Choy M;Lee JH
提出一种新型压缩传感（CS）高空间分辨率功能磁共振成像（fMRI）方法，并证明使用CS进行高空间分辨率功能磁共振成像的优点和局限性。一个随机欠采样的可变密度的螺旋轨迹，使加速因子为5.3的设计与平衡的稳态自由进动序列，以实现高空间分辨率的数据采集。然后，实现了一种改进的k-t SPARSE方法，并采用一种策略来优化正则化参数，以实现一致的高质量CS重建。该方法将空间分辨率提高了6倍，对比度噪声比（CNR）提高了12%至47%，F值提高了33%至117%，并保持了相同的时间分辨率。它还实现了69%至99%的高灵敏度，与原始的地面实况相比，假阳性率小于0.05，并且在宽范围的CNR中具有低HRF失真。所提出的方法对生理噪声是鲁棒的，并且能够检测体内的层特异性活动，这不能使用最高空间分辨率的奈奎斯特采集来解决。所提出的方法使高空间分辨率的功能磁共振成像，可以解决特定层的大脑活动，并证明了显着改善CS可以带来高空间分辨率的功能磁共振成像。
To propose a novel compressed sensing (CS) high spatial resolution functional magnetic resonance imaging (fMRI) method and demonstrate the advantages and limitations of using CS for high spatial resolution fMRI. A randomly under-sampled variable density spiral trajectory enabling an acceleration factor of 5.3 was designed with a balanced steady state free precession sequence to achieve high spatial resolution data acquisition. A modified k-t SPARSE method was then implemented and applied with a strategy to optimize regularization parameters for consistent, high quality CS reconstruction. The proposed method improves spatial resolution by 6-fold with 12 to 47% contrast-to-noise ratio (CNR), 33 to 117% F-value improvement and maintains the same temporal resolution. It also achieves high sensitivity of 69 to 99 % compared the original ground-truth, small false positive rate of less than 0.05 and low HRF distortion across a wide range of CNRs. The proposed method is robust to physiological noise and enables detection of layer-specific activities in vivo, which cannot be resolved using the highest spatial resolution Nyquist acquisition. The proposed method enables high spatial resolution fMRI that can resolve layer-specific brain activity and demonstrates the significant improvement that CS can bring to high spatial resolution fMRI.
影响因子：
3.5
作者：
Lee JH
通讯作者：
Lee JH