World Scientific
  • Search
    Quick Search in Journals
    Access type:
    Quick Search anywhere
    Access type:
    Advanced Search
  • My Cart
  •   
Skip main navigation
Close Drawer MenuOpen Drawer Menu

Cookies Notification

We use cookies on this site to enhance your user experience. By continuing to browse the site, you consent to the use of our cookies. Learn More
×

Our site uses Javascript to enchance its usability.You can disable your ad blocker or whitelist our website www.worldscientific.com to view the full content.

Select your blocker:

Adblock Plus Instructions

  1. Click the AdBlock Plus icon in the extension bar
  2. Click the blue power button
  3. Click refresh
Our website is made possible by displaying certain online content using javascript.
In order to view the full content, please disable your ad blocker or whitelist our website www.worldscientific.com.

System Upgrade on Tue, Oct 25th, 2022 at 2am (EDT)

Existing users will be able to log into the site and access content. However, E-commerce and registration of new users may not be available for up to 12 hours.
For online purchase, please visit us again. Contact us at [email protected] for any enquiries.
Regular Research ArticlesOpen Access

Comparison of uniform resampling and nonuniform sampling direct-reconstruction methods in k-space for FD-OCT

    https://doi.org/10.1142/S1793545823500025Cited by:0 (Source: Crossref)
    Previous
    Next

    Abstract

    The nonuniform distribution of interference spectrum in wavenumber k-space is a key issue to limit the imaging quality of Fourier-domain optical coherence tomography (FD-OCT). At present, the reconstruction quality at different depths among a variety of processing methods in k-space is still uncertain. Using simulated and experimental interference spectra at different depths, the effects of common six processing methods including uniform resampling (linear interpolation (LI), cubic spline interpolation (CSI), time-domain interpolation (TDI), and K-B window convolution) and nonuniform sampling direct-reconstruction (Lomb periodogram (LP) and nonuniform discrete Fourier transform (NDFT)) on the reconstruction quality of FD-OCT were quantitatively analyzed and compared in this work. The results obtained by using simulated and experimental data were coincident. From the experimental results, the averaged peak intensity, axial resolution, and signal-to-noise ratio (SNR) of NDFT at depth from 0.5 to 3.0mm were improved by about 1.9dB, 1.4 times, and 11.8dB, respectively, compared to the averaged indices of all the uniform resampling methods at all depths. Similarly, the improvements of the above three indices of LP were 2.0dB, 1.4 times, and 11.7dB, respectively. The analysis method and the results obtained in this work are helpful to select an appropriate processing method in k-space, so as to improve the imaging quality of FD-OCT.

    References

    • 1. H. Hossein, C. C. Rosa , “Numerical study on spectral domain optical coherence tomography spectral calibration and re-sampling importance,” Photon. Sens. 3(1), 35–43 (2013). Crossref, Google Scholar
    • 2. S. Z. Yang, L. W. Liu, Y. X. Chang, N. N. Zhang, K. Liu, L. Hong, B. L. Chen, Y. Zhao, R. Hu, J. L. Qu , “In vivo mice brain microcirculation monitoring based on contrast-enhanced SD-OCT,” J. Innov. Opt. Health Sci. 12(1), 1950001 (2019). Link, Web of Science, Google Scholar
    • 3. F. J. Xing, J. H. Lee, C. Polucha, J. Lee , “Three-dimensional imaging of spatio-temporal dynamics of small blood capillary network in the cortex based on optical coherence tomography: A review,” J. Innov. Opt. Health Sci. 13(1), 2030002 (2020). Link, Web of Science, Google Scholar
    • 4. A. Abdurashitov, V. Tuchin, O. Semyachkina-Glushkovskaya , “Photodynamic therapy of brain tumors and novel optical coherence tomography strategies for in vivo monitoring of cerebral fluid dynamics,” J. Innov. Opt. Health Sci. 13(2), 2030004 (2020). Link, Web of Science, Google Scholar
    • 5. R. Leitgeb, F. Placzek, E. Rank, L. Krainz, R. Haindl, Q. Li, M. Liu, M. Andreana, A. Unterhuber, T. Schmoll, W. Drexler , “Enhanced medical diagnosis for doctors: A perspective of optical coherence tomography,” J. Biomed. Opt. 26(10), 100601 (2021). Crossref, Web of Science, Google Scholar
    • 6. E. Auksorius, D. Borycki, P. Stremplewski, K. Liewski, S. Tomczewski, P. Niedźwiedziuk, B. Sikorski, M. Wojtkowski , “In vivo imaging of human cornea with high-speed and high-resolution Fourier-domain full-field optical coherence tomography,” Biomed. Opt. Exp. 11(5), 2849–2865 (2020). Crossref, Web of Science, Google Scholar
    • 7. F. Faraldi, C. A. Lavia, M. Nassisi, R. A. Kilian, D. Bacherini, S. Rizzo , “Swept-source OCT reduces the risk of axial length measurement errors in eyes with cataract and epiretinal membranes,” PLOS ONE 16(9), e0257654 (2021). Crossref, Web of Science, Google Scholar
    • 8. K. Nagib, B. Mezgebo, N. Fernando, B. Kordi, S. S. Sherif , “Generalized image reconstruction in optical coherence tomography using redundant and non-uniformly-spaced samples,” Sensors 21(7057), 1–14 (2021). Google Scholar
    • 9. N. Uribe-Patarroyo, S. H. Kassani, M. Villiger, B. E. Bouma , “Robust wavenumber and dispersion calibration for Fourier-domain optical coherence tomography,” Opt. Exp. 26(7), 9081–9094 (2018). Crossref, Web of Science, Google Scholar
    • 10. R. Leitgeb, C. K. Hitzenberger, A. F. Fercher , “Performance of Fourier domain vs. time domain optical coherence tomography,” Opt. Exp. 11(8), 889–894 (2003). Crossref, Web of Science, Google Scholar
    • 11. M. Wojtkowski, R. Leitgeb, A. Kowalczyk, T. Bajraszewski, A. F. Fercher , “In vivo human retinal imaging by Fourier domain optical coherence tomography,” J. Biomed. Opt. 7(3), 457–463 (2002). Crossref, Web of Science, Google Scholar
    • 12. C. Ding, P. Bu, X. Z. Wang, O. Sasaki , “A new spectral calibration method for Fourier domain optical coherence tomography,” Optik 121, 965–970 (2010). Crossref, Web of Science, Google Scholar
    • 13. K. Wang, Z. H. Ding , “Spectral calibration in spectral domain optical coherence tomography,” Chin. Opt. Letts. 6(12), 902–904 (2008). Crossref, Web of Science, Google Scholar
    • 14. X. L. Zhang, W. R. Gao, H. Y. Bian, C. L. Chen, J. L. Liao , “Self-spectral calibration for spectral domain optical coherence tomography,” Opt. Eng. 52(6), 063603-1-7 (2013). Crossref, Web of Science, Google Scholar
    • 15. M. A. Choma, K. Hsu, J. A. Izatt , “Swept source optical coherence tomography using an all-fiber 1300-nm ring laser source,” J. Biomed. Opt. 10(4), 044009-1-6 (2005). Crossref, Web of Science, Google Scholar
    • 16. C. M. Eigenwillig, B. R. Biedermann, G. Palte, R. Huber , “K-space linear Fourier domain mode locked laser and applications for optical coherence tomography,” Opt. Exp. 16(12), 8916–8937 (2008). Crossref, Web of Science, Google Scholar
    • 17. A. M. Davis, M. A. Choma, J. A. Izatt , “Heterodyne swept-source optical coherence tomography for complete complex conjugate ambiguity removal,” J. Biomed. Opt. 10(6), 064005 (2005). Crossref, Web of Science, Google Scholar
    • 18. J. Ren, H. K. Gille, J. Wu, C. H. Yang , “Ex vivo optical coherence tomography imaging of collector channels with a scanning endoscopic probe,” Invest. Opth. Vis. Sci. 52(7), 3921–3925 (2011). Crossref, Web of Science, Google Scholar
    • 19. J. F. Xi, L. Huo, J. S. Li, X. D. Li , “Generic real-time uniform K-space sampling method for high-speed swept-source optical coherence tomography,” Opt. Exp. 18(9), 9511–9517 (2011). Crossref, Web of Science, Google Scholar
    • 20. D. C. Adler, Y. Chen, R. Huber, J. Schmitt, J. Connolly, J. G. Fujimoto , “Three-dimensional endomicroscopy using optical coherence tomography,” Nat. Photon. 1(12), 709–716 (2007). Crossref, Web of Science, Google Scholar
    • 21. M. Mujat, B. H. Park, B. Cense, T. C. Chen, J. F. D. Boer , “Autocalibration of spectral-domain optical coherence tomography spectrometers for in vivo quantitative retinal nerve fiber layer birefringence determination,” J. Biomed. Opt. 12(4), 041205 (2007). Crossref, Web of Science, Google Scholar
    • 22. Z. Q. Xu, C. Lionel, M. Roman , “A zero-crossing detection method applied to Doppler OCT,” Opt. Exp. 16, 4394–4412 (2008). Crossref, Web of Science, Google Scholar
    • 23. T. Wu, Z. H. Ding, L. Wang, M. H. Chen , “Spectral phase based k-domain interpolation for uniform sampling in swept-source optical coherence tomography,” Opt. Exp. 19, 18430–18439 (2011). Crossref, Web of Science, Google Scholar
    • 24. M. Szkulmowski, M. Wojtkowski, T. Bajraszewski, I. Gorczynska, P. Targowski, W. Wasilewski, A. Kowalczyk, C. Radzewicz , “Quality improvement for high resolution in vivo images by spectral domain optical coherence tomography with supercontinuum source,” Opt. Commun. 246(4–6), 569–578 (2005). Crossref, Web of Science, Google Scholar
    • 25. Y. Chen, H. Zhao, Z. Wang , “Investigation on spectral-domain optical coherence tomography using a tungsten halogen lamp as light source,” Opt. Rev. 16(1), 26–29 (2009). Crossref, Web of Science, Google Scholar
    • 26. A. R. Tumlinson, B. Hofer, A. M. Winkler, B. Považay, W. Drexler, J. K. Barton , “Inherent homogenous media dispersion compensation in frequency domain optical coherence tomography by accurate k-sampling,” Appl. Opt. 47(5), 687–693 (2008). Crossref, Web of Science, Google Scholar
    • 27. D. Hillmann, G. Huttmann, P. Koch , Using nonequispaced fast Fourier transformation to process optical coherence tomography signals, Proc. SPIE 7372 on Optical Coherence Tomography and Coherence Techniques IV, (OPTICA Publishing Group, Munich, Germany, 2009), pp. 73720R1-6. Crossref, Google Scholar
    • 28. N. R. Lomb , “Least-squares frequency analysis of unequally spaced data,” Astrophys. Space Sci. 39(2), 447–462 (1976). Crossref, Web of Science, Google Scholar
    • 29. T. Wu, Z. H. Ding, K. Wang, C. Wang , “Swept source optical coherence tomography based on nonuniform discrete Fourier transform,” Chin. Opt. Lett. 7(10), 941–944 (2009). Crossref, Web of Science, Google Scholar
    • 30. T. Han, J. R. Qiu, D. Wang, J. Meng, Z. Y. Liu, Z. H. Ding , “Constrained polynomial fit-based k-domain interpolation in swept-source optical coherence tomography,” J. Innov. Opt. Health Sci. 14(1), 2140008 (2021). Link, Web of Science, Google Scholar
    • 31. A. Liu, R. Wang, K. L. Thornburg, S. Rugonyi , “Efficient postacquisition synchronization of 4-D nongated cardiac images obtained from optical coherence tomography: Application to 4-D reconstruction of the chick embryonic heart,” J. Biomed. Opt. 14(4), 044020–044011 (2009). Crossref, Web of Science, Google Scholar
    • 32. S. Vergnole, D. Lévesque, G. Lamouche , “Experimental validation of an optimized signal processing method to handle non-linearity in swept-source optical coherence tomography,” Opt. Exp. 18(10), 10447–10461 (2010). Crossref, Web of Science, Google Scholar
    • 33. B. E. Bouma, J. F. de Boer, D. Huang, I. K. Jang, T. Yonetsu, C. L. Leggett, R. Leitgeb, D. D. Sampson, M. Suter, B. J. Vakoc, M. Villiger, M. Wojtkowski , “Optical coherence tomography,” Nat. Rev. Meth. Primers 2(1), 79 (2022). Crossref, Google Scholar
    • 34. W. H. Press, S. A. Teukolsky, W. T. Vetterling, B. P. Flannery , Numerical Recipes in Fortran, Cambridge University Publishing, New York (1992). Google Scholar
    • 35. Y. D. Zhang, X. Q. Li, L. Wei, K. Wang, Z. H. Ding, G. H. Shi , “Time-domain interpolation for Fourier-domain optical coherence tomography,” Opt. Lett. 34(12), 1849–1851 (2009). Crossref, Web of Science, Google Scholar
    • 36. J. I. Jackson, C. H. Meyer, D. G. Nishimura, A. Macovski , “Selection of a convolution function for Fourier inversion using gridding computerised tomography application,” IEEE Trans. Med. Imaging 10(3), 473–478 (1991). Crossref, Web of Science, Google Scholar
    • 37. P. J. Beatty, D. G. Nishimura, J. M. Pauly , “Rapid gridding reconstruction with a minimal oversampling ratio,” IEEE Trans. Med. Imaging 24(6), 799–808 (2005). Crossref, Web of Science, Google Scholar
    • 38. K. Wang, Z. Ding, T. Wu, C. Wang, J. Meng, M. Chen, L. Xu , “Development of a non-uniform discrete Fourier transform based high speed spectral domain optical coherence tomography system,” Opt. Exp. 17(14), 12121–12131 (2009). Crossref, Web of Science, Google Scholar
    • 39. J. Y. Fan, F. Gao, W. Kong, H. W. Li, G. H. Shi , “A full spectrum resampling method in polygon tunable laser-based swept-source optical coherence tomography,” Acta. Phys. Sin. 66(11), 114204 (2017). Crossref, Web of Science, Google Scholar
    • 40. Y. Yang, X. Yue, Y. Zhang , “Optimal processing sequence and method combination of linear resampling and spectral shaping in swept-source optical coherence tomography,” Opt. Commun. 484, 126677 (2021). Crossref, Web of Science, Google Scholar