Open Access
29 March 2017 Robust phase unwrapping for phase images in Fourier domain Doppler optical coherence tomography
Author Affiliations +
Funded by: Natural Science Foundation of China
Abstract
To solve the 2π phase ambiguity for phase-resolved Doppler images in Doppler optical coherence tomography, we present a modified network programming technique for the first time to the best of our knowledge. The proposed method assumes that error of the discrete derivatives between unwrapped phase image and wrapped phase image can be arbitrary values instead of integer-multiple of 2π, which makes the real-phase restoration accurate and robust against noise. We compared our proposed method with the network programming method. Parameters including root-mean-square-error and noise amplification degree were adopted for comparison. The experimental study on simulated images, phantom, and real-vessel OCT images were performed. The proposed method consistently achieves optimal results.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 1083-3668/2017/$25.00 © 2017 SPIE
Shaoyan Xia, Yong Huang, Shizhao Peng, Yanfeng Wu, and Xiaodi Tan "Robust phase unwrapping for phase images in Fourier domain Doppler optical coherence tomography," Journal of Biomedical Optics 22(3), 036014 (29 March 2017). https://doi.org/10.1117/1.JBO.22.3.036014
Received: 22 November 2016; Accepted: 23 February 2017; Published: 29 March 2017
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CITATIONS
Cited by 19 scholarly publications and 1 patent.
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KEYWORDS
Computer programming

Optical coherence tomography

Doppler tomography

Denoising

Image processing

Arteries

Error analysis

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