Quantitative assessment of optical coherence tomography angiography algorithms for neuroimaging.,Journal of Biophotonics

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Quantitative assessment of optical coherence tomography angiography algorithms for neuroimaging.
Journal of Biophotonics ( IF 2.0 ) Pub Date : 2020-06-29 , DOI: 10.1002/jbio.202000181
Jianting Liu _{1,

2} , Jiang Zhu _{1,

2} , Lianqing Zhu _{1,

3} , Qiang Yang ₂ , Fan Fan ₂ , Fan Zhang ₂

Affiliation

Optical coherence tomography (OCT) angiography can noninvasively map microvascular networks and quantify blood flow in a cerebral cortex with a resolution of 1 to 10 μm and a penetration depth of 2 to 3 mm incorporating OCT signals and angiography algorithms. Different angiography algorithms have been developed in recent years; however, the performance of the algorithms has not been assessed quantitatively for neuroimaging applications. In this paper, we developed four metrics including vascular connectivity, contrast‐to‐noise ratio, signal‐to‐noise ratio and processing time to quantitatively assess the performance of OCT angiography algorithms in image quality and computation speed. After the imaging of a rat cortex using an OCT system, the cerebral microvascular networks were visualized by seven algorithms, and the performance of the algorithms was quantified and compared. Quantitative performance assessment of the algorithms can provide suggestions for the selection of appropriate OCT angiography algorithms in neuroimaging.

中文翻译：

光学相干断层扫描血管造影算法对神经成像的定量评估。

光学相干断层扫描（OCT）血管造影可以无创地绘制微血管网络并量化大脑皮层中的血流，其分辨率为1至10μm，穿透深度为2至3 mm，并结合了OCT信号和血管造影算法。近年来已经开发出了不同的血管造影算法。然而，对于神经成像应用，尚未对算法的性能进行定量评估。在本文中，我们开发了四个指标，包括血管连通性，对比噪声比，信噪比和处理时间，以定量评估OCT血管造影算法在图像质量和计算速度方面的性能。使用OCT系统对大鼠皮层成像后，可通过7种算法对大脑微血管网络进行可视化，并对算法的性能进行了量化和比较。该算法的定量性能评估可为神经影像学中适当的OCT血管造影算法的选择提供建议。

更新日期：2020-06-29

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