Shuffled magnetization-prepared multicontrast rapid gradient-echo imaging.
Shuffled magnetization-prepared multicontrast rapid gradient-echo imaging.
复制标题
改组磁化准备的多对抗快速梯度回声成像。
DOI：
10.1002/mrm.26986
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发表时间：
2018-01
影响因子：
3.3
通讯作者：
Larson PEZ
中科院分区：
文献类型：
--
作者：
Cao P;Zhu X;Tang S;Leynes A;Jakary A;Larson PEZ
开发一种新的采集和重建方法，用于磁化准备的三维多对比度快速梯度回波成像，使用Hankel矩阵完成与压缩感知和并行成像相结合。在模拟和体内人体实验中，在7 T下实施随机k空间重排策略，用于三维反转恢复、T2/扩散制备和磁化传递成像。我们结合了压缩感知，基于总变分和时空低秩正则化，并行成像与像素汉克尔矩阵完成，允许重建数十个多对比度的三维图像从3或6分钟的扫描。仿真结果表明，该方法可以重建每个体素的信号恢复曲线，并对典型的在体信噪比具有16倍的加速度是鲁棒的。体内研究实现了4至24倍的加速反转恢复，T2/扩散准备，和磁化传递成像。此外，通过解析磁化制备后的逐像素信号恢复曲线来提高对比度。所提出的方法可以提高磁化准备MRI的采集效率，并且可以从单次扫描中恢复数十张多对比度三维图像。此外，它对噪声具有鲁棒性，适用于恢复多指数信号，并且不需要任何先前的模型参数知识。
To develop a novel acquisition and reconstruction method for magnetization-prepared 3-dimensional multicontrast rapid gradient-echo imaging, using Hankel matrix completion in combination with compressed sensing and parallel imaging. A random k-space shuffling strategy was implemented in simulation and in vivo human experiments at 7 T for 3-dimensional inversion recovery, T2/diffusion preparation, and magnetization transfer imaging. We combined compressed sensing, based on total variation and spatial-temporal low-rank regularizations, and parallel imaging with pixel-wise Hankel matrix completion, allowing the reconstruction of tens of multicontrast 3-dimensional images from 3- or 6-min scans. The simulation result showed that the proposed method can reconstruct signal-recovery curves in each voxel and was robust for typical in vivo signal-to-noise ratio with 16-times acceleration. In vivo studies achieved 4 to 24 times accelerations for inversion recovery, T2/diffusion preparation, and magnetization transfer imaging. Furthermore, the contrast was improved by resolving pixel-wise signal-recovery curves after magnetization preparation. The proposed method can improve acquisition efficiencies for magnetization-prepared MRI and tens of multicontrast 3-dimensional images could be recovered from a single scan. Furthermore, it was robust against noise, applicable for recovering multi-exponential signals, and did not require any previous knowledge of model parameters.
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影响因子：
3.3
作者：
Jenista ER;Rehwald WG;Chen EL;Kim HW;Klem I;Parker MA;Kim RJ
通讯作者：
Kim RJ
影响因子：
3.3
作者：
Nezafat, Reza;Ouwerkerk, Ronald;McVeigh, Elliot R.
通讯作者：
McVeigh, Elliot R.
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影响因子：
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作者：
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通讯作者：
Ye GB
影响因子：
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作者：
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通讯作者：
Nishimura, Dwight G.
影响因子：
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作者：
Goldfarb, Donald;Ma, Shiqian
通讯作者：
Ma, Shiqian