Compressive‐sensing swept‐source optical coherence tomography angiography with reduced noise

Abstract

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.

Application of ImageJ in Optical Coherence Tomography Angiography (OCT‐A): A Literature Review

“…Filtering involves smoothing the image to reduce noise and enhance the signal. ImageJ has several filters, including the Gaussian and Median filters, that can be used to remove noise and enhance image quality [ 16 , 30 , 31 ]. Once the motion artifacts have been removed, the OCT-A images can be further processed and analyzed.…”