Study on Cerebral Vascular Image of SD-OCT Via Orthogonal Matching Pursuit

摘要

This paper proposes the compressed method of Orthogonal Matching Pursuit to retrieve cerebral vascular image of spectral-domain optical coherence tomography (SD OCT). Discrete wavelet transform is used to sparse the signal. Original cerebral vascular image of spectral-domain optical coherence tomography is reconstructed with strong noise. The compressed method based on Orthogonal Matching Pursuit is applied to reconstruct the whole image. It is shown that the proposed CS method can achieve good PSNR performance compared to original method. Therefore, the proposed method is favorable for imaging of cerebral vascular image both SD OCT and SS-OCT.