Compressed sensing in quantitative determination of GAG concentration in cartilage by microscopic MRI.
Compressed sensing in quantitative determination of GAG concentration in cartilage by microscopic MRI.
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DOI：
10.1002/mrm.26973
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发表时间：
2018-06
影响因子：
3.3
通讯作者：
Xia Y
中科院分区：
文献类型：
--
作者：
Wang N;Badar F;Xia Y
评估压缩传感 (CS) 在以显微分辨率对关节软骨中糖胺聚糖 (GAG) 浓度进行 MRI 定量方面的潜力。软骨的 T1 称重二维实验在 k 空间中完全采样，具有 5 次反转时间，分辨率为 17.6 μm。通过以各种 1D 和 2D CS 欠采样因子 (UF) 进行欠采样，对这些完全采样的 k 空间数据进行了重新处理。使用非线性重建将欠采样数据单独重建为二维图像，用于计算 T1 和 GAG 浓度的二维图。在不同的UF下评估软骨中的T1和GAG值（最多16，使用了6.25％的数据）。还研究了 K 空间采样模式和区域变化。使用 2D 可变密度采样模式，UF 高达 8 的 T1 图像保留了主要视觉信息并产生了可以忽略不计的伪影。不同超滤下不同亚组织区域的 GAG 浓度保持准确。与完全采样的结果相比，整个组织深度的平均 GAG 浓度变化为 1.20%。软骨深部变化最大为 2.24%。使用一维可变密度采样模式，定量 T1 映射和 UF 高达 4 时的 GAG 浓度显示出可忽略不计的变化。这项研究表明，CS 通过获取更少的数据，可以在软骨的 μMRI 研究中发挥作用，同时不会损失 GAG 浓度定量的显着准确性。
To evaluate the potentials of compressed sensing (CS) in MRI quantification of glycosaminoglycan (GAG) concentration in articular cartilage at microscopic resolution. T1-weighed 2D experiments of cartilage were fully sampled in k-space with five inversion times at 17.6 μm resolution. These fully sampled k-space data were re-processed, by under-sampling at various 1D and 2D CS under-sampling factors (UFs). The under-sampled data were reconstructed individually into 2D images using nonlinear reconstruction, which were used to calculate 2D maps of T1 and GAG concentration. The values of T1 and GAG in cartilage were evaluated at different UFs (up to 16, which used 6.25% of the data). K-space sampling pattern and zonal variations were also investigated. Using 2D variable density sampling pattern, the T1 images at UFs up to 8 preserved major visual information and produced negligible artifacts. The GAG concentration remained accurate for different sub-tissue zones at various UFs. The variation of the mean GAG concentration through the whole tissue depth was 1.20 %, compared to the fully sampled results. The maximum variation was 2.24 % in the deep zone of cartilage. Using 1D variable density sampling pattern, the quantitative T1 mapping and GAG concentration at UFs up to 4 showed negligible variations. This study demonstrates that CS could be beneficial in μMRI studies of cartilage by acquiring less data, without losing significant accuracy in the quantification of GAG concentration.
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