Improved compressed sensing and super-resolution of cardiac diffusion MRI with structure-guided total variation.
Improved compressed sensing and super-resolution of cardiac diffusion MRI with structure-guided total variation.
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DOI：
10.1002/mrm.28245
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发表时间：
2020-10
影响因子：
3.3
通讯作者：
Schneider JE
中科院分区：
文献类型：
--
作者：
Teh I;McClymont D;Carruth E;Omens J;McCulloch A;Schneider JE
结构引导的全变分是最近引入的先验，其允许使用参考图像中边缘的位置和方向的知识来重建图像。在这项工作中，我们展示了一种称为定向全变分（DTV）的结构引导全变分变体在压缩感知重建和超分辨率背景下优于传统全变分（TV）的优势。我们比较了TV和DTV在回顾性欠采样离体扩散张量成像和扩散频谱成像数据从健康，假手术，和肥大大鼠心脏。在欠采样系数为8的压缩感知中，与TV相比，DTV中的平均扩散率和分数各向异性相对于完全采样的地面实况的RMS误差分别低44%和20%。在超分辨率中，这些值分别为29%和14%。类似地，我们观察到螺旋角、横向角、小型张仰角和小型张方位角的改善。与TV相比，DTV的欠采样数据中的扩散峰度相对于地面真实值的RMS误差一致较低（平均22%）。获取一张完全采样的非扩散加权图像和10张8倍欠采样的扩散加权图像将导致所需数据净减少80%。我们证明了在电视上的DTV算法在降低数据采样要求，这可以转化为更高的表观分辨率和潜在的更短的扫描时间的功效。该方法同样适用于心脏外的扩散MRI应用。
Structure‐guided total variation is a recently introduced prior that allows reconstruction of images using knowledge of the location and orientation of edges in a reference image. In this work, we demonstrate the advantages of a variant of structure‐guided total variation known as directional total variation (DTV), over traditional total variation (TV), in the context of compressed‐sensing reconstruction and super‐resolution. We compared TV and DTV in retrospectively undersampled ex vivo diffusion tensor imaging and diffusion spectrum imaging data from healthy, sham, and hypertrophic rat hearts. In compressed sensing at an undersampling factor of 8, the RMS error of mean diffusivity and fractional anisotropy relative to the fully sampled ground truth were 44% and 20% lower in DTV compared with TV. In super‐resolution, these values were 29% and 14%, respectively. Similarly, we observed improvements in helix angle, transverse angle, sheetlet elevation, and sheetlet azimuth. The RMS error of the diffusion kurtosis in the undersampled data relative to the ground truth was uniformly lower (22% on average) with DTV compared to TV. Acquiring one fully sampled non‐diffusion‐weighted image and 10 diffusion‐weighted images at 8× undersampling would result in an 80% net reduction in data needed. We demonstrate efficacy of the DTV algorithm over TV in reducing data sampling requirements, which can be translated into higher apparent resolution and potentially shorter scan times. This method would be equally applicable in diffusion MRI applications outside the heart.
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影响因子：
3.3
作者：
McClymont D;Teh I;Carruth E;Omens J;McCulloch A;Whittington HJ;Kohl P;Grau V;Schneider JE
通讯作者：
Schneider JE
影响因子：
3.3
作者：
Schick, F
通讯作者：
Schick, F
影响因子：
3.3
作者：
Menzel, Marion I.;Tan, Ek T.;Marinelli, Luca
通讯作者：
Marinelli, Luca
影响因子：
4
作者：
RUDIN, LI;OSHER, S;FATEMI, E
通讯作者：
FATEMI, E
影响因子：
3.3
作者：
Mani, Merry;Jacob, Mathews;Zhong, Jianhui
通讯作者：
Zhong, Jianhui