Conjugate Transformation for Dispersion Compensation in Optical Coherence Tomography Imaging

Wenxin Zhang*, Xiao Zhang, Chengming Wang, Wenchao Liao, Shengnan Ai, Zhangkai Peng, Juicheng Hsieh, Ning Zhang, Bihua Tang, Ping Xue

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

In optical coherence tomography (OCT), the sample dispersion tends to increase the signal width and hence lower down the resolution, resulting in serious image quality degradation, especially for imaging over a large depth range or media with large dispersion coefficient. In this letter, instead of the conventional Fourier transformation for dispersion compensation that can compensate the image only ideally at a certain depth, a novel transformation, as called conjugate transformation, is proposed to achieve high resolution at all depth by utilizing the conjugate function of the signal itself as an optimized integral kernel. A large dispersion media of ZnSe is used as the sample to test the feasibility of this novel transformation, achieving ∼1.4 times higher resolution than the conventional transformation. OCT imaging of bio-tissues with ideally compensation of sample dispersion for all the depth is experimentally demonstrated and at the same time the dispersion coefficients are also obtained.

Original languageEnglish
Article number7100107
JournalIEEE Journal of Selected Topics in Quantum Electronics
Volume25
Issue number1
DOIs
Publication statusPublished - 1 Jan 2018

Keywords

  • Dispersion
  • image enhancement
  • optical coherence tomography

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