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

DOI

10.2991/meita-15.2015.72How to use a DOI?

Keywords

Cerebral Vascular Image, SD-OCT, Orthogonal Matching Pursuit

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ping Xu
AU  - Ying-Jie Chang
PY  - 2015/08
DA  - 2015/08
TI  - Study on Cerebral Vascular Image of SD-OCT Via Orthogonal Matching Pursuit
BT  - Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications
PB  - Atlantis Press
SP  - 391
EP  - 394
SN  - 2352-5401
UR  - https://doi.org/10.2991/meita-15.2015.72
DO  - 10.2991/meita-15.2015.72
ID  - Xu2015/08
ER  -