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傅里叶域多普勒光学相干断层成像中相位图像的鲁棒相位解缠。

Robust phase unwrapping for phase images in Fourier domain Doppler optical coherence tomography.

机构信息

Beijing Institute of Technology, School of Optoelectronics, Beijing, China.

出版信息

J Biomed Opt. 2017 Mar 1;22(3):36014. doi: 10.1117/1.JBO.22.3.036014.

Abstract

To solve the 2 ? 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 2 ? , 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.

摘要

为了解决多普勒光相干断层扫描中相位分辨多普勒图像的 2π 相位模糊问题,我们首次提出了一种改进的网络规划技术。该方法假设展开相位图像和包裹相位图像之间的离散导数误差可以是任意值,而不是 2π 的整数倍,从而使真实相位恢复对噪声具有准确性和鲁棒性。我们将提出的方法与网络规划方法进行了比较。采用均方根误差和噪声放大程度等参数进行比较。对模拟图像、体模和真实血管 OCT 图像进行了实验研究。提出的方法始终可以获得最佳结果。

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