Phase Stability Technique for Inverse Scattering in Optical Coherence Tomography

Ralston, Tyler S.; Marks, D.L.; Carney, P. Scott; Boppart, Stephen A.

doi:10.1109/isbi.2006.1624982

Cited by 16 publications

(17 citation statements)

References 10 publications

(11 reference statements)

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“…Axial motion can be tracked by placement of a phase reference object near the sample, such as a coverslip or catheter sheath, so that it appears in the OCT image [141,144]. Using this reference object, the phase of each A-line can be aligned in post-processing to restore phase stability.…”

Section: Hardware Methods For Phase Stabilizationmentioning

confidence: 99%

Computational optical coherence tomography [Invited]

Liu

South

et al. 2017

Biomed. Opt. Express

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Optical coherence tomography (OCT) has become an important imaging modality with numerous biomedical applications. Challenges in high-speed, high-resolution, volumetric OCT imaging include managing dispersion, the trade-off between transverse resolution and depth-of-field, and correcting optical aberrations that are present in both the system and sample. Physics-based computational imaging techniques have proven to provide solutions to these limitations. This review aims to outline these computational imaging techniques within a general mathematical framework, summarize the historical progress, highlight the state-of-the-art achievements, and discuss the present challenges. Swanson, "Optical biopsy and imaging using optical coherence tomography," Nat. Med. 1(9), 970-972 (1995). 3. G. J. Tearney, M. E. Brezinski, B. E. Bouma, S. A. Boppart, C. Pitris, J. F. Southern, and J. G. Fujimoto, "In vivo endoscopic optical biopsy with optical coherence tomography," Science 276(5321), 2037-2039 (1997). 4. S. A. Boppart, B. E. Bouma, C. Pitris, J. F. Southern, M. E. Brezinski, and J. G. Fujimoto, "In vivo cellular optical coherence tomography imaging," Nat. Med. 4(7), 861-865 (1998). Sundaram, P. S. Ray, and S. A. Boppart, "Real-time imaging of the resection bed using a handheld probe to reduce incidence of microscopic positive margins in cancer surgery," Cancer Res. 75(18), 3706-3712 (2015). 9. J. G. Fujimoto and E. A. Swanson, "The development, commercialization, and impact of optical coherence tomography," Invest. Ophthalmol. Vis. Sci. 57(9), OCT1-OCT13 (2016). 10. A. M. Cormack, "Representation of a function by its line integrals, with some radiological applications. II," J.Appl. Phys. 35(10), 2722-2727 (1964). 11. G. N. Hounsfield, "Computerized transverse axial scanning (tomography). 1. Description of system," Br. J.Radiol. 46(552), 1016-1022 (1973). 12. P. C. Lauterbur, "Image formation by induced local interactions: examples employing nuclear magnetic resonance," Nature 242(5394), 190-191 (1973). 13. P. T. Gough and D. W. Hawkins, "Unified framework for modern synthetic aperture imaging algorithms," Int. J.Imaging Syst. Technol. 8(4), 343-358 (1997). shaping for optimal depth-selective focusing in optical coherence tomography," Opt. Express 21(3), 2890-2902 (2013 111-115 (1962). 77. L. Cutrona, E. Leith, C. Palermo, and L. Porcello, "Optical data processing and filtering systems," IRE Trans.Inf. Theory 6(3), 386-400 (1960). 78. L. J. Cutrona, E. N. Leith, L. J. Porcello, and E. W. Vivian, "On the application of coherent optical processing techniques to synthetic-aperture radar," Proc. IEEE 54(8), 1026-1032 (1966). 79. W. Brown and L. Porcello, "An introduction to synthetic-aperture radar," IEEE Spectr. 6(9), 52-62 (1969). 80. M. P. Hayes and P. T. Gough, "Broad-band synthetic aperture sonar," IEEE J. Oceanic Eng. 17(1), 80-94 (1992)

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Section: Hardware Methods For Phase Stabilizationmentioning

confidence: 99%

Computational optical coherence tomography [Invited]

Liu

South

et al. 2017

Biomed. Opt. Express

View full text Add to dashboard Cite

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“…Some authors use this approach combined with cross-correlation to improve sensitivity of the OCT system [79]. One study used the group velocity and phase of a common scatterer to stabilize the system before solving the inverse problem of interferometric synthetic aperture microscopy (ISAM) [80]. Figure 13.9 shows an example where phase correction was applied using a coverslip as a phase reference.…”

Section: Motion and Phasementioning

confidence: 99%

“…Spatial oversampling is necessary to separate out the static sample structure from the moving scatterers within the sample. In OMAG, for instance, the separation is obtained by applying a constant Images used with permission from [80]. The plots show the group delay and phase as a function of transverse position on the coverslip interface carrier frequency during B-scan acquisition, and a subsequent Hilbert transform is used to separate out the moving scatterers from the static tissue structure [68].…”

Section: Motion and Phasementioning

confidence: 99%

Data Analysis and Signal Postprocessing for Optical Coherence Tomography

Ralston¹,

Marks²,

Ahmad³

et al. 2015

Optical Coherence Tomography

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“…Interferometric Synthetic Aperture Microscopy (ISAM) [10], Computational Adaptive Optics (CAO) [11], Digital Adaptive Optics (DAO) [12], and Holoscopy [13] are all computed imaging techniques which can computationally correct defocus and optical aberrations, but are known to have especially high sensitivity to motion [14][15][16]. This is true for even the swept-source full-field techniques (DAO and Holoscopy).…”

Section: Introductionmentioning

confidence: 99%

“…We show that combined, these techniques are sensitive enough to correct 3-D motion for in vivo numerical defocus and aberration correction. Previous work typically required either stable data at the time of imaging [17,18], or a phase reference was used, such as a coverslip placed on the sample or tissue, to compensate for optical path length fluctuations [14]. Additionally, other efforts have shown that motion could be corrected by using only the acquired OCT data for numerical defocus correction and other phase-resolved techniques [19,20].…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional motion correction using speckle and phase for in vivo computed optical interferometric tomography

Shemonski

Ahn

Liu

et al. 2014

Biomed. Opt. Express

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Over the years, many computed optical interferometric techniques have been developed to perform high-resolution volumetric tomography. By utilizing the phase and amplitude information provided with interferometric detection, post-acquisition corrections for defocus and optical aberrations can be performed. The introduction of the phase, though, can dramatically increase the sensitivity to motion (most prominently along the optical axis). In this paper, we present two algorithms which, together, can correct for motion in all three dimensions with enough accuracy for defocus and aberration correction in computed optical interferometric tomography. The first algorithm utilizes phase differences within the acquired data to correct for motion along the optical axis. The second algorithm utilizes the addition of a speckle tracking system using temporally-and spatially-coherent illumination to measure motion orthogonal to the optical axis. The use of coherent illumination allows for high-contrast speckle patterns even when imaging apparently uniform samples or when highly aberrated beams cannot be avoided. ©2014 Optical Society of America

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Phase Stability Technique for Inverse Scattering in Optical Coherence Tomography

Cited by 16 publications

References 10 publications

Computational optical coherence tomography [Invited]

Computational optical coherence tomography [Invited]

Data Analysis and Signal Postprocessing for Optical Coherence Tomography

Three-dimensional motion correction using speckle and phase for in vivo computed optical interferometric tomography

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