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连续光学相干扫描与扩散张量成像的交叉验证:一项关于人类延髓神经纤维图谱的研究。

Cross-validation of serial optical coherence scanning and diffusion tensor imaging: a study on neural fiber maps in human medulla oblongata.

作者信息

Wang Hui, Zhu Junfeng, Reuter Martin, Vinke Louis N, Yendiki Anastasia, Boas David A, Fischl Bruce, Akkin Taner

机构信息

Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN 55455, USA.

Department of Industrial and Systems Engineering, University of Minnesota, Minneapolis, MN 55455, USA.

出版信息

Neuroimage. 2014 Oct 15;100:395-404. doi: 10.1016/j.neuroimage.2014.06.032. Epub 2014 Jun 20.

DOI:10.1016/j.neuroimage.2014.06.032
PMID:24954840
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4142686/
Abstract

We established a strategy to perform cross-validation of serial optical coherence scanner imaging (SOCS) and diffusion tensor imaging (DTI) on a postmortem human medulla. Following DTI, the sample was serially scanned by SOCS, which integrates a vibratome slicer and a multi-contrast optical coherence tomography rig for large-scale three-dimensional imaging at microscopic resolution. The DTI dataset was registered to the SOCS space. An average correlation coefficient of 0.9 was found between the co-registered fiber maps constructed by fractional anisotropy and retardance contrasts. Pixelwise comparison of fiber orientations demonstrated good agreement between the DTI and SOCS measures. Details of the comparison were studied in regions exhibiting a variety of fiber organizations. DTI estimated the preferential orientation of small fiber tracts; however, it didn't capture their complex patterns as SOCS did. In terms of resolution and imaging depth, SOCS and DTI complement each other, and open new avenues for cross-modality investigations of the brain.

摘要

我们制定了一项策略,用于在人死后延髓上对连续光学相干扫描仪成像(SOCS)和扩散张量成像(DTI)进行交叉验证。在进行DTI之后,样本由SOCS进行连续扫描,SOCS集成了振动切片机和多对比度光学相干断层扫描设备,用于在微观分辨率下进行大规模三维成像。DTI数据集被配准到SOCS空间。通过分数各向异性和延迟对比度构建的配准纤维图之间的平均相关系数为0.9。纤维方向的逐像素比较表明DTI和SOCS测量结果之间具有良好的一致性。在呈现各种纤维组织的区域中研究了比较细节。DTI估计了小纤维束的优先方向;然而,它无法像SOCS那样捕捉到它们的复杂模式。在分辨率和成像深度方面,SOCS和DTI相互补充,为大脑的跨模态研究开辟了新途径。

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