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This work reports the application of smoothed pseudo Wigner-Ville distribution for optical signal processing in spectral domain optical coherence tomography. Although traditional Fourier Transform methods have been successful in generating Axial scans, they are limited in fully exploiting the resolution of data captured by N-pixel detectors due to the complex conjugate symmetry property, resulting in redundant information over N/2 number of the pixels. To overcome this limitation, our proposed approach leverages smoothed pseudo Wigner- Ville distribution for precise frequency analysis across N samples and incorporates Kaiser windows to achieve effective frequency smoothing. This technique enables the generation of Axial scans over N pixels instead of N/2 pixels. Experimental verification validates the efficacy of the proposed technique, demonstrating a twofold improvement in longitudinal spatial resolution compared to the conventional Fourier based method.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Naveen Kumar Pothapakula, R. David Koilpillai, Shanti Bhattacharya, "Optical signal processing in spectral domain OCT using smoothed pseudo Wigner-Ville distribution," Proc. SPIE 12830, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVIII, 1283007 (12 March 2024); https://doi.org/10.1117/12.2692189