In vivo autocorrelation spectroscopy with optical coherence tomography

Jun Zhu; Aaron Michael Kho; Tingwei Zhang; Vivek Jay Srinivasan

doi:10.1117/12.2612840

7 March 2022 In vivo autocorrelation spectroscopy with optical coherence tomography

Jun Zhu, Aaron Michael Kho, Tingwei Zhang, Vivek Jay Srinivasan

Proceedings Volume PC11948, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVI; PC1194812 (2022) https://doi.org/10.1117/12.2612840
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Conventional methods of spectroscopic Optical Coherence Tomography (OCT) determine depth-resolved spectra. Here, we present a spectroscopic method of assessing hemoglobin in OCT which, rather than determine a depth-resolved spectrum, determines a depth-resolved autocorrelation function. This complex-valued autocorrelation function is then fit with a model that incorporates the spectral absorption characteristics of different chromophores present in tissue. The proposed method does not use windowed Fourier transforms of the OCT data, and is well-suited for assessing chromophores in dynamic scattering environments such as blood vessels. The new autocorrelation spectroscopy method is compared against the conventional windowed Fourier transform method in the retina.

Conference Presentation

Citation Download Citation

Jun Zhu, Aaron Michael Kho, Tingwei Zhang, and Vivek Jay Srinivasan "In vivo autocorrelation spectroscopy with optical coherence tomography", Proc. SPIE PC11948, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVI, PC1194812 (7 March 2022); https://doi.org/10.1117/12.2612840

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