Motion-robust quantitative multiparametric brain MRI with motion-resolved MR multitasking.
Motion-robust quantitative multiparametric brain MRI with motion-resolved MR multitasking.
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DOI：
10.1002/mrm.28959
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发表时间：
2022-01
影响因子：
3.3
通讯作者：
Christodoulou AG
中科院分区：
文献类型：
--
作者：
Ma S;Wang N;Xie Y;Fan Z;Li D;Christodoulou AG
用一种新的运动分辨成像框架解决脑MRI中的头部运动，并应用于运动鲁棒的定量多参数映射。MR多任务概念化的运动作为一个多维的低秩张量存在的基础多参数图像。通过将运动状态维度并入参数维度中并引入无监督的运动状态分箱和离群运动重新加权机制，可以容易地解决大脑运动以用于运动鲁棒定量成像。一个数值运动模型被用来模拟不同的离散和周期性的运动模式下的各种平移和旋转的情况下，以及调查的敏感性异常小和大的位移。进行体内脑MRI以评估不同的真实的离散和周期性运动模式。研究了运动分辨成像在脑中同时进行T1/T2/T1ρ标测的有效性。对于所有14种小、中、大运动位移的模拟场景，与运动消除和无运动处理相比，运动分辨方法产生的T1/T2/T1ρ图相对于地面真实值的绝对差误差更小，T1/T2/T1ρ测量的RMSE更低，SSIM更高。对于体内实验，与运动消除和无运动处理相比，运动分辨方法产生的T1/T2/T1ρ图具有最佳图像质量，在随机离散运动、震颤、周期性抖动和点头模式下无运动伪影。所提出的方法还产生了最接近无运动参考的T1/T2/T1ρ测量分布，具有最小的测量偏差和方差。运动分辨定量脑成像是通过多任务处理来实现的，它可以推广到各种头部运动模式，而不需要明确的基于配准的运动校正。
To address head motion in brain MRI with a novel motion-resolved imaging framework, with application to motion-robust quantitative multiparametric mapping. MR Multitasking conceptualizes the underlying multiparametric image in the presence of motion as a multidimensional low-rank tensor. By incorporating a motion-state dimension into the parameter dimensions and introducing unsupervised motion-state binning and outlier motion reweighting mechanisms, the brain motion can be readily resolved for motion-robust quantitative imaging. A numerical motion phantom was used to simulate different discrete and periodic motion patterns under various translational and rotational scenarios, as well as investigate the sensitivity to exceptionally small and large displacements. In vivo brain MRI was performed to also evaluate different real discrete and periodic motion patterns. The effectiveness of motion-resolved imaging for simultaneous T1/T2/T1ρ mapping in the brain was investigated. For all 14 simulation scenarios of small, intermediate, and large motion displacements, the motion-resolved approach produced T1/T2/T1ρ maps with less absolute difference errors against the ground truth, lower RMSE and higher SSIM of T1/T2/T1ρ measurements compared to motion-removal and no motion handling. For in vivo experiments, the motion-resolved approach produced T1/T2/T1ρ maps with the best image quality free from motion artifacts under random discrete motion, tremor, periodic shaking and nodding patterns, compared to motion-removal and no motion handling. The proposed method also yielded T1/T2/T1ρ measurement distributions closest to the motion-free reference, with minimal measurement bias and variance. Motion-resolved quantitative brain imaging is achieved with Multitasking, which is generalizable to various head motion patterns without explicit need for registration-based motion correction.
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影响因子：
3.3
作者：
Uecker, Martin;Lai, Peng;Murphy, Mark J.;Virtue, Patrick;Elad, Michael;Pauly, John M.;Vasanawala, Shreyas S.;Lustig, Michael
通讯作者：
Lustig, Michael
影响因子：
3.3
作者：
Deoni, SCL;Peters, TM;Rutt, BK
通讯作者：
Rutt, BK
影响因子：
3.3
作者：
Shaw, Jaime L.;Yang, Qi;Christodoulou, Anthony G.
通讯作者：
Christodoulou, Anthony G.
影响因子：
28.1
作者：
Christodoulou AG;Shaw JL;Nguyen C;Yang Q;Xie Y;Wang N;Li D
通讯作者：
Li D
影响因子：
3.3
作者：
Ooi, Melvyn B.;Krueger, Sascha;Thomas, William J.;Swaminathan, Srirama V.;Brown, Truman R.
通讯作者：
Brown, Truman R.