Study on Cerebral Vascular Image of SD-OCT Via Orthogonal Matching Pursuit
Ping Xu, Ying-Jie Chang
Available Online August 2015.
- 10.2991/meita-15.2015.72How to use a DOI?
- Cerebral Vascular Image, SD-OCT, Orthogonal Matching Pursuit
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.
- © 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/).
Cite this article
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 -