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Proceedings Paper

Adaptive compressed sensing for spectral-domain optical coherence tomography
Author(s): Yi Wang; Xiaodong Chen; Ting Wang; Hongxiao Li; Daoyin Yu
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Paper Abstract

Spectral-domain optical coherence tomography (SD-OCT) is a non-contact and non-invasive method for measuring the change of biological tissues caused by pathological changes of body. CCD with huge number of pixels is usually used in SD-OCT to increase the detecting depth, thus enhancing the hardness of data transmission and storage. The usage of compressed sensing (CS) in SD-OCT is able to reduce the trouble of large data transfer and storage, thus eliminating the complexity of processing system. The traditional CS uses the same sampling model for SD-OCT images of different tissue, leading to reconstruction images with different quality. We proposed a CS with adaptive sampling model. The new model is based on uniform sampling model, and the interference spectral of SD-OCT is considered to adjust the local sampling ratio. Compared with traditional CS, adaptive CS can modify the sampling model for images of different tissue according to different interference spectral, getting reconstruction images with high quality without changing sampling model.

Paper Details

Date Published: 4 March 2014
PDF: 7 pages
Proc. SPIE 8934, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVIII, 89343F (4 March 2014); doi: 10.1117/12.2032301
Show Author Affiliations
Yi Wang, Tianjin Univ. (China)
Xiaodong Chen, Tianjin Univ. (China)
Ting Wang, Tianjin Univ. (China)
Hongxiao Li, Tianjin Univ. (China)
Daoyin Yu, Tianjin Univ. (China)


Published in SPIE Proceedings Vol. 8934:
Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVIII
Joseph A. Izatt; James G. Fujimoto; Valery V. Tuchin, Editor(s)

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