Optical coherence tomography angiography (OCTA) is a label‐free, noninvasive biomedical imaging modality for mapping microvascular networks and quantifying blood flow velocities in vivo. Simple computation and fast processing are critical for the OCTA in some applications. Herein, we report on a normalized differentiation method for mapping cerebral microvasculature with the advantages of simple analysis and high image quality, benefitting from computation of differentiation and characteristics of normalization. Normalized differentiation values are validated to have a nearly linear relationship with flow velocities in a range using a flow phantom. The measurements in a rat cerebral cortex show that the OCTA based on the normalized differentiation analysis can generate microvascular images with high quality and monitor spatiotemporal dynamics of blood flow with simple computation and fast processing before and after localized ischemia induced by arterial occlusion.

中文翻译：

---

基于相干分化分析的光学相干断层扫描血管造影术绘制脑微血管。

光学相干断层扫描血管造影（OCTA）是一种无标签的，无创的生物医学成像方法，可用于绘制微​​血管网络图并定量体内血流速度。在某些应用中，简单的计算和快速的处理对于OCTA至关重要。本文中，我们报告了一种归因于计算微分和归一化特征的归一化分化方法，该方法用于绘制脑微血管，具有分析简单，图像质量高的优点。使用体模验证了归一化的微分值与流速在一定范围内具有近乎线性的关系。在大鼠大脑皮层中的测量结果表明，基于归一化分化分析的OCTA可以生成高质量的微血管图像，并通过简单的计算和快速处理来监测动脉闭塞引起的局部缺血前后的血流时空动态。