Multi-shot diffusion-weighted MRI reconstruction with magnitude-based spatial-angular locally low-rank regularization (SPA-LLR).
Multi-shot diffusion-weighted MRI reconstruction with magnitude-based spatial-angular locally low-rank regularization (SPA-LLR).
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DOI：
10.1002/mrm.28025
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发表时间：
2020-05
影响因子：
3.3
通讯作者：
Hargreaves B
中科院分区：
文献类型：
--
作者：
Hu Y;Wang X;Tian Q;Yang G;Daniel B;McNab J;Hargreaves B
为了解决多镜头多向扩散加权成像（DWI）中运动引起的相位变化问题，对图像进行了正则化处理。建立了相位和幅度图像的非线性估计模型。利用局部低秩正则化（LLR）项对来自各个扩散编码方向的星等图像进行局部低秩正则化，以利用空间和角度相关性。通过不同分辨率和b值的体内实验验证了该方法的有效性。与传统重建方法相比，该方法显著降低了噪声水平，在不修改序列的情况下，实现了亚毫米（0.8mm和0.9mm各向同性分辨率）DWI的b值为1,000 s/mm2和1毫米各向同性DWI的b值为2,000 s/mm2。一种基于空间角度LLR正则化的联合重建方法，极大地改善了多方向DWI重建，同时消除了运动引起的相位伪影，并对图像进行了去噪。
To resolve the motion-induced phase variations in multi-shot multi-direction diffusion-weighted imaging (DWI) by applying regularization to magnitude images. A nonlinear model was developed to estimate phase and magnitude images separately. A locally low-rank regularization (LLR) term was applied to the magnitude images from all diffusion-encoding directions to exploit the spatial and angular correlation. In vivo experiments with different resolutions and b-values were performed to validate the proposed method. The proposed method significantly reduces the noise level compared to the conventional reconstruction method and achieves submillimeter (0.8mm and 0.9mm isotropic resolutions) DWI with a b-value of 1,000 s/mm2 and 1-mm isotropic DWI with a b-value of 2,000 s/mm2 without modification of the sequence. A joint reconstruction method with spatial-angular LLR regularization on magnitude images substantially improves multi-direction DWI reconstruction, simultaneously removes motion-induced phase artifacts, and denoises images.
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影响因子：
2.2
作者：
Larsson, EG;Erdogmus, D;Fitzsimmons, JR
通讯作者：
Fitzsimmons, JR
影响因子：
3.3
作者：
Liao, Congyu;Stockmann, Jason;Setsompop, Kawin
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Setsompop, Kawin
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作者：
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影响因子：
3.3
作者：
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通讯作者：
Setsompop, Kawin