Accuracy of Common Motion Estimators in Wave-Based Optical Coherence Elastography
Justin R. Rippy
Department of Biomedical Engineering, University of Houston, Houston, TX, USA
Kirill V. Larin
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Department of Biomedical Engineering, University of Houston, Houston, TX, USA
Paper #3450 received 4 Aug 2021; revised manuscript received 7 Sep 2021; accepted for publication 9 Sep 2021; published online 21 Sep 2021.
DOI: 10.18287/JBPE21.07.040303
Abstract
Motion estimators are commonly used in shear wave optical coherence elastography to compute small displacements. This work focuses on comparing three motion estimators: Kasai, Loupas, and the vector method. Our results show that the vector method is superior in low-SNR, low-amplitude situations for group velocity calculation and profile reconstruction.
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1. F. Zvietcovich, J. P. Rolland, J. Yao, P. Meemon, and K. J. Parker, “Comparative study of shear wave-based elastography techniques in optical coherence tomography,” Journal of Biomedical Optics 22(3), 035010 (2017).
2. C. E. Psomadakis, N. Marghoob, B. Bleicher, and O. Markowitz, “Optical coherence tomography,” Clinics in Dermatology, (2021).
3. B. J. Fahey, R. C. Nelson, S. J. Hsu, D. P. Bradway, D. M. Dumont, and G. E. Trahey, “In vivo guidance and assessment of liver radio-frequency ablation with acoustic radiation force elastography,” Ultrasound in Medicine & Biology 34(10), 1590–603 (2008).
4. C. Kasai, K. Namekawa, A. Koyano, and R. Omoto, “Real-time two-dimensional blood flow imaging using an autocorrelation technique,” IEEE Transactions on Sonics and Ultrasonics 32(3), 458–464 (1985).
5. T. Loupas, R. Peterson, and R. W. Gill, “Experimental evaluation of velocity and power estimation for ultrasound blood flow imaging, by means of a two-dimensional autocorrelation approach,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 42(4), 689–699 (1995).
6. A. Matveyev, L. Matveev, A. Sovetsky, G. Gelikonov, A. Moiseev, and V. Y. Zaitsev, “Vector method for strain estimation in phase-sensitive optical coherence elastography,” Laser Physics Letters 15(6), 065603 (2018).
7. J. R. Rippy, M. Singh, S. R. Aglyamov, and K. V. Larin, “Ultrasound Shear Wave Elastography and Transient Optical Coherence Elastography: Side-by-Side Comparison of Repeatability and Accuracy,” IEEE Open Journal of Engineering in Medicine and Biology 2, 179–186 (2021).
8. S. Wang, K. V. Larin, J. Li, S. Vantipalli, R. K. Manapuram, S. Aglyamov, S. Emelianov, and M. D. Twa, “A focused air-pulse system for optical-coherence-tomography-based measurements of tissue elasticity,” Laser Physics Letters 10(7), 075605 (2013).
9. S. Wang, K. V. Larin, “Shear wave imaging optical coherence tomography (SWI-OCT) for ocular tissue biomechanics,” Optics Letters 39(1), 41–44 (2014).
10. G. F. Pinton, J. J. Dahl, and G. E. Trahey, “Rapid tracking of small displacements with ultrasound,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 53(6), 1103–1117 (2006).
11. V. X. Yang, M. L. Gordon, A. Mok, Y. Zhao, Z. Chen, R. S. C. Cobbold, B. C. Wilson, and I. A. Vitkin, “Improved phase-resolved optical Doppler tomography using the Kasai velocity estimator and histogram segmentation,” Optics Communications 208(4–6), 209–214 (2002).
12. S. Wang, A. L. Lopez, Y. Morikawa, G. Tao, J. Li, I. V. Larina, J. F. Martin, and K. V. Larin, “Noncontact quantitative biomechanical characterization of cardiac muscle using shear wave imaging optical coherence tomography,” Biomed. Opt. Express 5(7), 1980–1992 (2014).
13. B. H. Park, M. C. Pierce, B. Cense, S.-H. Yun, M. Mujat, G. J. Tearney, B. E. Bouma, and J. F. de Boer, “Real-time fiber-based multi-functional spectral-domain optical coherence tomography at 1.3 µm,” Optics Express 13(11), 3931–3944 (2005).
14. D. Morofke, M. C. Kolios, I. A. Vitkin, and V. X. D. Yang, “Wide dynamic range detection of bidirectional flow in Doppler optical coherence tomography using a two-dimensional Kasai estimator,” Optics Letters 32(3), 253–255 (2007).
15. K. Wang, Y. Li, Q. Kemao, J. Di, and J. Zhao, “One-step robust deep learning phase unwrapping,” Optics Express 27(10), 15100–15115 (2019).
16. S. Rosenzweig, M. Palmeri, and K. Nightingale, “GPU-based real-time small displacement estimation with ultrasound,” IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 58(2), 399–405 (2011).
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