Multidimensional MRI for characterization of subtle axonal injury accelerated using an adaptive nonlocal multispectral filter
Multidimensional MRI for characterization of subtle axonal injury accelerated using an adaptive nonlocal multispectral filter
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DOI：
10.3389/fphy.2021.737374
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发表时间：
2021-09-16
影响因子：
3.1
通讯作者：
Basser, Peter J.
中科院分区：
文献类型：
--
作者：
Benjamini, Dan;Bouhrara, Mustapha;Basser, Peter J.
多维MRI是一种新兴的方法，同时编码水弛豫（T-1和T-2）和流动性（扩散），并取代这些MR属性的亚体素分布的体素平均值。虽然传统的（即，体素平均的）MRI方法不能充分量化生物组织的微观异质性，使用亚体素信息允许选择性地映射对应于一组组织元素的特定T-1-T-2-扩散光谱范围。采用丰富的多维MRI协议用于诊断或监测目的的主要障碍是扫描时间延长。我们在本研究中的主要目标是评估非局部估计的多谱幅度（NESMA）过滤器的性能减少数据集，以限制所需的总采集时间可靠的多维MRI表征的大脑。在这里，我们集中和重新处理的结果，从最近的研究，确定潜在的成像生物标志物的轴突损伤病理学的多维MRI的联合分析，特别是体素T-1-T-2和扩散T-2频谱在人类胼胝体，和组织病理学数据。我们测试了NESMA的性能及其对损伤生物标志物图谱准确性的影响，相对于共同注册的组织学参考。降噪提高了所得损伤生物标志物图谱的准确性，同时允许T-1-T-2和MD-T-2病例的完整数据集的数据分别减少35.7%和59.6%。随着多维MRI的成功临床概念验证应用不断被引入，可靠和鲁棒的噪声去除以及随之而来的采集加速将推动该领域朝着临床可行的诊断多维MRI协议发展。
Multidimensional MRI is an emerging approach that simultaneously encodes water relaxation (T-1 and T-2) and mobility (diffusion) and replaces voxel-averaged values with subvoxel distributions of those MR properties. While conventional (i.e., voxel-averaged) MRI methods cannot adequately quantify the microscopic heterogeneity of biological tissue, using subvoxel information allows to selectively map a specific T-1-T-2-diffusion spectral range that corresponds to a group of tissue elements. The major obstacle to the adoption of rich, multidimensional MRI protocols for diagnostic or monitoring purposes is the prolonged scan time. Our main goal in the present study is to evaluate the performance of a nonlocal estimation of multispectral magnitudes (NESMA) filter on reduced datasets to limit the total acquisition time required for reliable multidimensional MRI characterization of the brain. Here we focused and reprocessed results from a recent study that identified potential imaging biomarkers of axonal injury pathology from the joint analysis of multidimensional MRI, in particular voxelwise T-1-T-2 and diffusion-T-2 spectra in human Corpus Callosum, and histopathological data. We tested the performance of NESMA and its effect on the accuracy of the injury biomarker maps, relative to the co-registered histological reference. Noise reduction improved the accuracy of the resulting injury biomarker maps, while permitting data reduction of 35.7% and 59.6% from the full dataset for T-1-T-2 and MD-T-2 cases, respectively. As successful clinical proof-of-concept applications of multidimensional MRI are continuously being introduced, reliable and robust noise removal and consequent acquisition acceleration would advance the field towards clinically-feasible diagnostic multidimensional MRI protocols.