Signal-to-noise ratio-enhancing joint reconstruction for improved diffusion imaging of mouse spinal cord white matter injury.
Signal-to-noise ratio-enhancing joint reconstruction for improved diffusion imaging of mouse spinal cord white matter injury.
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DOI：
10.1002/mrm.25691
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发表时间：
2016-02
影响因子：
3.3
通讯作者：
Haldar JP
中科院分区：
文献类型：
--
作者：
Kim JH;Song SK;Haldar JP
评估信噪比增强重建（SER）减少定量白色损伤评估的采集时间的能力。对来自4个小鼠群组的每只动物采集4个单平均扩散张量成像（DTI）数据集：两个脊髓损伤模型和两个对照组。定量参数（表观扩散系数，相对各向异性，轴向和径向扩散系数）计算从（I）单平均数据与传统的重建;（II）单平均数据与SER;（III）4平均数据与传统的重建;和（IV）单平均数据与优化的多组分非局部均值（OMNLM）去噪。这些方法进行了比较的基础上的变异系数（COVs）和估计的扩散参数是否敏感的伤害。SER产生了更好的COV的扩散率和各向异性比传统的重建单平均数据，并产生了可比的COV与4平均数据实现。此外，使用SER单平均数据获得的扩散参数具有与从4平均数据获得的扩散参数相当的损伤敏感性，而从OMNLM和传统的单平均数据重建获得的扩散参数具有有限的敏感性。减少4倍的数量的平均值的定量扩散成像的小动物白色物质损伤是可行的，使用SER. Our研究结果还强调了需要验证非线性方法，使用基于任务的措施，应用程序的基础上。
To assess the capability of signal-to-noise ratio enhancing reconstruction (SER) to reduce the acquisition time for quantitative white matter injury assessment. Four single-average diffusion tensor imaging (DTI) datasets were acquired for each animal from 4 mouse cohorts: two models of spinal cord injury and two control groups. Quantitative parameters (apparent diffusion coefficient, relative anisotropy, axial and radial diffusivities) were computed from (I) single-average data with traditional reconstruction; (II) single-average data with SER; (III) 4-average data with traditional reconstruction; and (IV) single-average data with optimized multicomponent nonlocal means (OMNLM) denoising. These approaches were compared based on coefficients of variation (COVs) and whether estimated diffusion parameters were sensitive to injury. SER yielded better COVs for diffusivity and anisotropy than traditional reconstruction of single-average data, and yielded comparable COVs to that achieved with 4-average data. In addition, diffusion parameters obtained using SER with single-average data had comparable injury sensitivity to those obtained from 4-average data, while diffusion parameters obtained from OMNLM and traditional reconstruction of single-average data had limited sensitivity. A 4-fold reduction in the number of averages for quantitative diffusion imaging of small animal white matter injury is feasible using SER. Our results also underscore the need to validate nonlinear methods using task-based measures on an application-by-application basis.