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定量超声和 B 模式图像纹理特征与人类尺神经束中的胶原和髓鞘含量相关。

Quantitative Ultrasound and B-Mode Image Texture Features Correlate with Collagen and Myelin Content in Human Ulnar Nerve Fascicles.

机构信息

Research Service, VA San Diego Healthcare System, San Diego, California, USA; Department of Radiology, University of California, San Diego, California, USA; Department of Ultrasound, Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw, Poland.

Research Service, VA San Diego Healthcare System, San Diego, California, USA; Department of Radiology, University of California, San Diego, California, USA.

出版信息

Ultrasound Med Biol. 2019 Jul;45(7):1830-1840. doi: 10.1016/j.ultrasmedbio.2019.02.019. Epub 2019 Apr 13.

DOI:10.1016/j.ultrasmedbio.2019.02.019
PMID:30987909
Abstract

We investigate the usefulness of quantitative ultrasound and B-mode texture features for characterization of ulnar nerve fascicles. Ultrasound data were acquired from cadaveric specimens using a nominal 30-MHz probe. Next, the nerves were extracted to prepare histology sections. Eighty-five fascicles were matched between the B-mode images and the histology sections. For each fascicle image, we selected an intra-fascicular region of interest. We used histology sections to determine features related to the concentration of collagen and myelin and ultrasound data to calculate the backscatter coefficient (-24.89 ± 8.31 dB), attenuation coefficient (0.92 ± 0.04 db/cm-MHz), Nakagami parameter (1.01 ± 0.18) and entropy (6.92 ± 0.83), as well as B-mode texture features obtained via the gray-level co-occurrence matrix algorithm. Significant Spearman rank correlations between the combined collagen and myelin concentrations were obtained for the backscatter coefficient (R = -0.68), entropy (R = -0.51) and several texture features. Our study indicates that quantitative ultrasound may potentially provide information on structural components of nerve fascicles.

摘要

我们研究了定量超声和 B 模式纹理特征在描述尺神经束方面的有用性。使用标称 30MHz 探头从尸体标本中获取超声数据。然后,提取神经以准备组织学切片。在 B 模式图像和组织学切片之间匹配了 85 个束。对于每个束图像,我们选择了一个束内感兴趣区域。我们使用组织学切片来确定与胶原蛋白和髓鞘浓度相关的特征,并用超声数据计算反向散射系数(-24.89 ± 8.31 dB)、衰减系数(0.92 ± 0.04 db/cm-MHz)、 Nakagami 参数(1.01 ± 0.18)和熵(6.92 ± 0.83),以及通过灰度共生矩阵算法获得的 B 模式纹理特征。反向散射系数(R=-0.68)、熵(R=-0.51)和几个纹理特征与组合胶原和髓鞘浓度之间存在显著的斯皮尔曼等级相关。我们的研究表明,定量超声可能提供有关神经束结构成分的信息。

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