Wu Fuwang, He Xiang, Li Yongjian, Lu Xiaoqi, Hu Kaixuan, Wei Hongtao, Yi Wei, Wan Yi, Song Weiye
Opt Lett. 2025 Jul 1;50(13):4286-4289. doi: 10.1364/OL.557676.
Optical coherence tomography angiography (OCTA) suffers from more motion artifacts compared to optical coherence tomography, which are the primary source of image quality degradation in imaging. We propose an OCTA algorithm in this Letter that differs from motion compensation methods widely employed to reduce motion artifacts and effectively mitigates these artifacts. The algorithm integrates differential phase and intensity images based on the standard deviation of the flow signals. The performance of this algorithm is evaluated on mouse retina imaging. Compared to three conventional OCTA algorithms, the OCTA images obtained by the proposed algorithm exhibit fewer motion artifacts and less noise in tissue regions, with maximum improvements of 1.38 dB and 0.82 in signal-to-noise ratio and contrast-to-noise ratio (CNR), respectively, in the maximum projection of images.
与光学相干断层扫描相比，光学相干断层扫描血管造影（OCTA）存在更多的运动伪影，这些伪影是成像中图像质量下降的主要来源。在本信函中，我们提出了一种OCTA算法，该算法不同于广泛用于减少运动伪影的运动补偿方法，并且能够有效减轻这些伪影。该算法基于流动信号的标准差对差分相位图像和强度图像进行整合。通过对小鼠视网膜成像评估该算法的性能。与三种传统的OCTA算法相比，所提算法获得的OCTA图像在组织区域中表现出更少的运动伪影和更少的噪声，在图像的最大投影中，信噪比和对比度噪声比（CNR）分别最大提高了1.38 dB和0.82。
