Study on cerebral vascular image of spectral domain optical coherence tomography with compressive sensing

Ping Xu; Zhaoyang Jin; Yong Yang

doi:10.24297/ijct.v11i3.1165

Authors

Ping Xu College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou 310027
Zhaoyang Jin Institute of Information and Control, Hangzhou Dianzi University, Hangzhou 310027
Yong Yang College of Life Information Science and Instrument Engineering, Hangzhou Dianzi University, Hangzhou 310027

DOI:

https://doi.org/10.24297/ijct.v11i3.1165

Keywords:

optical coherence tomography, compressed sensing, cerebral vascular image

Abstract

We propose a novel compressed sensing method to retrieve cerebral vascular image for spectral-domain optical coherence tomography (SD OCT). The compressed sensing method based on l1 norm minimization is applied to reconstruct each A-scan data. The proposed method uses about 25% of the total data as required in traditional SD OCT to reconstruct the cerebral angiograpy. Therefore this method is favorable for high speed imaging for cerebral angiograpy. It is shown that the proposed method can achieve better performance of axial resolution and higher signal-to-noise ratio (SNR) as compared with the conventional methods.