The Experts below are selected from a list of 16407 Experts worldwide ranked by ideXlab platform

Shu Namiki - One of the best experts on this subject based on the ideXlab platform.

David D. Sampson - One of the best experts on this subject based on the ideXlab platform.

E.d.j. Smith - One of the best experts on this subject based on the ideXlab platform.

Xiangzhao Wang - One of the best experts on this subject based on the ideXlab platform.

  • an optimized depth resolved Dispersion Compensation method in optical coherent tomography signal processing
    IEEE International Conference on Photonics, 2021
    Co-Authors: Xi Zhang, Nan Nan, Xiangzhao Wang
    Abstract:

    An optimized depth-resolved Dispersion Compensation method for achieving better Dispersion Compensation effect is presented in optical coherence tomography signal processing. When performing depth-resolved Dispersion Compensation, it is necessary to use a rectangular window function to intercept the interference signals at different depths of the sample from the A-line signal before FFT. Windowed FFT will cause errors in phase extraction, which will lead to inaccurate Dispersion coefficient. Herein, the rectangular window function needs to be optimized. The phase is extracted after FFT of the interference signal obtained by the primary rectangular window. According to the functional relationship between the phase and the wave number in the presence of Dispersion, the obtained phase is fitted to the quadratic polynomial by the least square method, and the standard error of the fitted quadratic polynomial is used as the criterion. Constantly changed the width and center position of the rectangular window to obtain the smallest standard error. The smallest standard error corresponds to the optimized rectangular window, which is used to intercept the signal and perform FFT to obtain a phase close to the true value. Therefore, the Dispersion Compensation coefficients of the OCT system at different depths are accurately extracted. It is verified by simulation and experiment that this method can achieve better Dispersion Compensation effect.

  • Depth-dependent Dispersion Compensation for full-depth OCT image.
    Optics express, 2017
    Co-Authors: Pan Liuhua, Nan Nan, Xiangzhao Wang, Xiangyang Zhang, Chen Yan, Xuan Wang
    Abstract:

    A depth-dependent Dispersion Compensation algorithm for enhancing the image quality of the Fourier-domain optical coherence tomography (OCT) is presented. The Dispersion related with depth in the sample is considered. Using the iterative method, an analytical formula for compensating the depth-dependent Dispersion in the sample is obtained. We apply depth-dependent Dispersion Compensation algorithm to process the phantom images and in vivo images. Using sharpness metric based on variation coefficient to compare the results processed with different Dispersion Compensation algorithms, we find that the depth-dependent Dispersion Compensation algorithm can improve image quality at full depth.

F. Matera - One of the best experts on this subject based on the ideXlab platform.