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利用深度分辨衰减系数计算从光学相干断层扫描数据中可视化淋巴管。

Lymph vessels visualization from optical coherence tomography data using depth-resolved attenuation coefficient calculation.

机构信息

Institute of Applied Physics RAS, Nizhny Novgorod, Russia.

Privolzhsky Research Medical University, Nizhny Novgorod, Russia.

出版信息

J Biophotonics. 2021 Sep;14(9):e202100055. doi: 10.1002/jbio.202100055. Epub 2021 Jun 17.

Abstract

Multimodal optical coherent tomography grows popularity with researchers and clinicians over the past decade. One of the modalities is lymphangiography, which allows visualization of the lymphatic vessel networks within optical coherence tomography (OCT) imaging volume. In the present study, it is shown that lymphatic vessel visualization obtained from the depth-resolved attenuation coefficient distributions, corrected for the noise, shows improved contrast and detail in comparison with previously proposed approaches. We also argue that the two most popular approaches for lymphatic vessel visualization, namely simple intensity thresholding and vesselness calculation based on local Hessian matrix eigenvalues, imply different definitions of the lymphatic vessel's appearance in the OCT volume and lead to the different networks.

摘要

多模态光学相干断层扫描在过去十年中受到研究人员和临床医生的青睐。其中一种模式是淋巴管造影术,它可以在光学相干断层扫描(OCT)成像体积中可视化淋巴管网络。在本研究中,与以前提出的方法相比,从深度分辨衰减系数分布中获得的淋巴管可视化,经噪声校正后,显示出更好的对比度和细节。我们还认为,淋巴管可视化的两种最流行的方法,即简单的强度阈值和基于局部Hessian 矩阵特征值的血管计算,意味着 OCT 体积中淋巴管外观的不同定义,并导致不同的网络。

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