School of Electronics and Information Engineering, Soochow University, Suzhou, China.
School of Automation, Northwestern Polytechnical University, Xi'an, China.
J Biophotonics. 2022 Aug;15(8):e202200087. doi: 10.1002/jbio.202200087. Epub 2022 May 22.
Optical coherence tomography angiography (OCTA), as a functional extension of optical coherence tomography (OCT), has exhibited a great potential to aid in clinical diagnostics. Currently, OCTA still suffers from motion artifact and noise. Therefore, in this article, we propose to implement compressive sensing (CS) on B-scans to reduce motion artifact by increasing B-scan rate. Meanwhile, a noise reduction filter is specially designed by combining CS, Gaussian filter and median filter. Specially, CS filtering is realized by averaging multiple CS repetitions on en-face OCTA images with varied sampling functions. The method is evaluated on in vivo OCTA images of human skin. The results show that vasculature structures can be reconstructed well through CS on B-scans with a sampling rate of 70%. Moreover, the noise can be significantly eliminated by the developed filter. This implies that our method has a good potential to expedite OCTA imaging and improve the image quality.
光学相干断层扫描血管造影术(OCTA)作为光学相干断层扫描(OCT)的功能扩展,在临床诊断中具有很大的应用潜力。目前,OCTA 仍然存在运动伪影和噪声问题。因此,本文提出在 B 扫描中应用压缩感知(CS)技术,通过提高 B 扫描速率来减少运动伪影。同时,通过结合 CS、高斯滤波器和中值滤波器,专门设计了一种降噪滤波器。特别地,通过在具有不同采样函数的平面 OCTA 图像上对多个 CS 重复进行平均来实现 CS 滤波。该方法在人体皮肤的活体 OCTA 图像上进行了评估。结果表明,通过 CS 对采样率为 70%的 B 扫描进行处理,可以很好地重建血管结构。此外,所开发的滤波器可以显著消除噪声。这意味着我们的方法具有加速 OCTA 成像和提高图像质量的良好潜力。