Journal of the Optical Society of Korea

  • 제15권4호
  • /
  • Pages.386-393
  • /
  • 2011
  • /
  • 1226-4776(pISSN)
  • /
  • 2093-6885(eISSN)
한국광학회 (Optical Society of Korea)
권호 표지
DOI QR코드

DOI QR Code

Simple Spectral Calibration Method and Its Application Using an Index Array for Swept Source Optical Coherence Tomography

  • Jung, Un-Sang (School of Electrical Engineering and Computer Science, Kyungpook National University) ;
  • Cho, Nam-Hyun (School of Electrical Engineering and Computer Science, Kyungpook National University) ;
  • Kim, Su-Hwan (School of Electrical Engineering and Computer Science, Kyungpook National University) ;
  • Jeong, Hyo-Sang (School of Electrical Engineering and Computer Science, Kyungpook National University) ;
  • Kim, Jee-Hyun (School of Electrical Engineering and Computer Science, Kyungpook National University) ;
  • Ahn, Yeh-Chan (Department of Biomedical Engineering, Pukyong National University)
  • 투고 : 2011.09.14
  • 심사 : 2011.11.24
  • 발행 : 2011.12.25
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

In this study, we report an effective k-domain linearization method with a pre-calibrated indexed look-up table. The method minimizes k-domain nonlinear characteristics of a swept source optical coherence tomography (SS-OCT) system by using two arrays, a sample position shift index and an intensity compensation array. Two arrays are generated from an interference pattern acquired by connecting a Fabry-Perot interferometer (FPI) and an optical spectrum analyzer (OSA) to the system. At real time imaging, the sample position is modified by location movement and intensity compensation with two arrays for linearity of wavenumber. As a result of evaluating point spread functions (PSFs), the signal to noise ratio (SNR) is increased by 9.7 dB. When applied to infrared (IR) sensing card imaging, the SNR is increased by 1.29 dB and the contrast noise ratio (CNR) value is increased by 1.44. The time required for the linearization and intensity compensation is 30 ms for a multi thread method using a central processing unit (CPU) compared to 0.8 ms for compute unified device architecture (CUDA) processing using a graphics processing unit (GPU). We verified that our linearization method is appropriate for applying real time imaging of SS-OCT.

키워드

참고문헌

  1. D. Huang, E. A. Swanson, C. P. Lin, J. S. Schuman, W. G. Stinson, W. Chang, M. R. Hee, T. Flotte, K. Gregory, C. A. Puliafito, and J. G. Fujimoto, "Optical coherence tomography," Science 254, 1178-1181 (1991). https://doi.org/10.1126/science.1957169
  2. A. F. Fercher, "Optical coherence tomography," J. Biomed. Opt. 1, 157-173 (1996). https://doi.org/10.1117/12.231361
  3. A. F. Fercher, W. Drexler, C. K. Hitzenberger, and T. Lasser, "Optical coherence tomography-principles and applications," Rep. Prog. Phys. 66, 239-303 (2003). https://doi.org/10.1088/0034-4885/66/2/204
  4. M. A. Choma, K. Hsu, and J. A. Izatt, "Swept source optical coherence tomography using an all-fiber 1300-nm ring laser source," J. Biomed. Opt. 10, 044009 (2005). https://doi.org/10.1117/1.1961474
  5. J. Xi, L. Huo, J. Li, and X. Li, "Generic real-time uniform k-space sampling method for high-speed swept-source optical coherence tomography," Opt. Express 18, 9511-9517 (2010). https://doi.org/10.1364/OE.18.009511
  6. V. M. Gelikonov, G. V. Gelikonov, and P. A. Shilyagin, "Linear-wavenumber spectrometer for high-speed spectraldomain optical coherence tomography," Optics and Spectroscopy 106, 459-465 (2009). https://doi.org/10.1134/S0030400X09030242
  7. C. Ding, P. Bu, X. Wang, and O. Sasaki, "A new spectral calibration method for Fourier domain optical coherence tomography," Optik 121, 965-970 (2010). https://doi.org/10.1016/j.ijleo.2008.12.016
  8. S. Vergnole, D. Levesque, and G. Lamouche, "Experimental validation of an optimized signal processing method to handle non-linearity in swept-source optical coherence tomography," Opt. Express 18, 10446-10461 (2010). https://doi.org/10.1364/OE.18.010446
  9. M. Jeon, J. Kim, U. Jung, C. Lee, W. Jung, and S. A. Boppart, "Full-range k-domain linearization in spectral-domain optical coherence tomography," Appl. Opt. 50, 1158-1163 (2011). https://doi.org/10.1364/AO.50.001158
  10. Z. Wang, Z. Yuan, H. Wang, and Y. Pan, "Increasing the imaging depth of spectral-domain OCT by using interpixel shift technique," Opt. Express 14, 7014-7023 (2006). https://doi.org/10.1364/OE.14.007014
  11. C. M. Eigenwillig, B. R. Biedermann, G. Palte, and R. Huber, "k-space linear Fourier domain mode locked laser and applications for optical coherence tomography," Opt. Express 16, 8916-2937 (2008). https://doi.org/10.1364/OE.16.008916
  12. E. Azimi, B. Liu, and M. E. Brezinski, "Real-time and high-performance calibration method for high-speed sweptsource optical coherence tomography," J. Biomed. Opt. 15, 016005 (2010). https://doi.org/10.1117/1.3285660
  13. Y. Yasuno, Y. Hong, S. Makita, M. Yamanari, M. Akiba, M. Miura, and T. Yatagai, "In vivo high-contrast imaging of deep posterior eye by 1-μm swept source optical coherence tomography and scattering optical coherence angiography," Opt. Express 15, 6121-6139 (2007). https://doi.org/10.1364/OE.15.006121
  14. M. Gora, K. Karnowski, M. Szkulmowski, B. J. Kaluzny, R. Huber, A. Kowalczyk, and M. Wojtkowski, "Ultra highspeed swept source OCT imaging of the anterior segment of human eye at 200 kHz with adjustable imaging range," Opt. Express 17, 14880-14894 (2009). https://doi.org/10.1364/OE.17.014880
  15. B. Potsaid, B. Baumann, D. Huang, S. Barry, A. E. Cable, J. S. Schuman, J. S. Duker, and J. G. Fujimoto, "Ultrahigh speed 1050nm swept source/Fourier domain OCT retinal and anterior segment imaging at 100,000 to 400,000 axial scans per second," Opt. Express 18, 20029-20048 (2010). https://doi.org/10.1364/OE.18.020029
  16. K. Zhang and J. U. Kang, "Real-time 4D signal processing and visualization using graphics processing unit on a regular nonlinear-k Fourier-domain OCT system," Opt. Express 18, 11772-11784 (2010). https://doi.org/10.1364/OE.18.011772
  17. Y. Watanabe and T. Itagaki, "Real-time display on Fourier domain optical coherence tomography system using a graphics processing unit," J. Biomed. Opt. 14, 060506 (2009). https://doi.org/10.1117/1.3275463
  18. S. Van der Jeught, A. Bradu, and A. Gh. Podoleanu, "Realtime resampling in Fourier domain optical coherence tomography using a graphics processing unit," J. Biomed. Opt. 15, 030511 (2010). https://doi.org/10.1117/1.3437078

피인용 문헌

  1. Structural Analysis of Polymer Composites Using Spectral Domain Optical Coherence Tomography vol.17, pp.6, 2017, https://doi.org/10.3390/s17051155
  2. Non-Destructive Inspection Methods for LEDs Using Real-Time Displaying Optical Coherence Tomography vol.12, pp.12, 2012, https://doi.org/10.3390/s120810395
  3. Investigation of the Performance of Spectral Domain Optical Doppler Tomography with High-speed Line Scanning CMOS Camera and Its Application to the Blood Flow Measurement in a Micro-tube vol.16, pp.2, 2012, https://doi.org/10.3807/JOSK.2012.16.2.174
  4. Bio-Photonic Detection and Quantitative Evaluation Method for the Progression of Dental Caries Using Optical Frequency-Domain Imaging Method vol.16, pp.12, 2016, https://doi.org/10.3390/s16122076
  5. Quantitative assessment of touch-screen panel by nondestructive inspection with three-dimensional real-time display optical coherence tomography vol.68, 2015, https://doi.org/10.1016/j.optlaseng.2014.12.013
  6. Fast Industrial Inspection of Optical Thin Film Using Optical Coherence Tomography vol.16, pp.12, 2016, https://doi.org/10.3390/s16101598
  7. Characteristics of a Wavelength-swept Laser with a Polygon-based Wavelength Scanning Filter vol.25, pp.2, 2014, https://doi.org/10.3807/KJOP.2014.25.2.061
  8. High Speed SD-OCT System Using GPU Accelerated Mode for in vivo Human Eye Imaging vol.17, pp.1, 2013, https://doi.org/10.3807/JOSK.2013.17.1.068
  9. Parallelized multi–graphics processing unit framework for high-speed Gabor-domain optical coherence microscopy vol.19, pp.7, 2014, https://doi.org/10.1117/1.JBO.19.7.071410
  10. Depth enhancement in spectral domain optical coherence tomography using bidirectional imaging modality with a single spectrometer vol.21, pp.7, 2016, https://doi.org/10.1117/1.JBO.21.7.076005