We develop a real-time full-field optical angiography method using principal component analysis (PCA). In our approach, an undersampled laser Doppler method is used to record the raw images. Considering the difference in the signal component contributions, PCA is used to separate the dynamic blood flow and static background signals. The principal advantage of the PCA method is that the choice of a high pixel number can aid in efficiently extracting the blood flow signal with finite frame raw images, which can greatly improve the temporal resolution. Our phantom experimental results validate our choice of the optimal frame number for reconstructing an angiographic image. A vascular occlusion test on a rabbit ear demonstrates that global and simultaneous hemodynamic processes of vessels can be monitored.

中文翻译：

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利用主成分分析的实时全场光学血管造影

我们开发了一种使用主成分分析（PCA）的实时全场光学血管造影方法。在我们的方法中，欠采样激光多普勒方法用于记录原始图像。考虑到信号成分贡献的差异，使用PCA来分离动态血流信号和静态背景信号。PCA方法的主要优点是，选择高像素数可以帮助有限帧原始图像有效地提取血流信号，从而可以大大提高时间分辨率。我们的幻象实验结果验证了我们选择用于重建血管造影图像的最佳帧数的选择。在兔耳上进行的血管阻塞测试表明，可以监测血管的整体和同时发生的血液动力学过程。