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Optical Coherence Elastography

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Optical Coherence Tomography

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Abstract

The mechanical properties of tissue are pivotal in its function and behavior, and are often modified by disease. From the nano- to the macro-scale, many tools have been developed to measure tissue mechanical properties, both to understand the contribution of mechanics in the origin of disease and to improve diagnosis. Optical coherence elastography is applicable to the intermediate scale, between that of cells and whole organs, which is critical in the progression of many diseases and not widely studied to date. In optical coherence elastography, a mechanical load is imparted to a tissue and the resulting deformation is measured using optical coherence tomography. The deformation is used to deduce a mechanical parameter, e.g., Young’s modulus, which is mapped into an image, known as an elastogram. In this chapter, we review the development of optical coherence elastography and report on the latest developments. We provide a focus on the underlying principles and assumptions, techniques to measure deformation, loading mechanisms, imaging probes and modeling, including the inverse elasticity problem.

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Acknowledgments

BFK, KMK, and DDS acknowledge funding from the Australian Research Council, the National Health and Medical Research Council, the Raine Medical Research Foundation, and the University of Western Australia. They thank their colleagues and coworkers Prof Mark Bush, Mr Lixin Chin, Dr Chris Ford, and Dr Robert McLaughlin.

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Authors and Affiliations

  1. Optical+Biomedical Engineering Laboratory, School of Electrical, Electronic and Computer Engineering, The University of Western Australia, 35 Stirling Highway, Crawley, WA, 6009, Australia

    Brendan F. Kennedy & Kelsey M. Kennedy

  2. Department of Physics and Astronomy and the Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Phillips Hall CB 3255, Chapel Hill, NC, 27599, USA

    Amy L. Oldenburg

  3. Department of Biomedical Engineering, Cornell University, B61 Weill Hall, Ithaca, NY, 14853, USA

    Steven G. Adie

  4. Optical+Biomedical Engineering Laboratory, School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Crawley, WA, Australia

    David D. Sampson

  5. Biophotonics Imaging Laboratory, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA

    Stephen A. Boppart

  6. Departments of Bioengineering, Electrical and Computer Engineering, and Medicine, University of Illinois at Urbana-Champaign, Urbana, IL, USA

    Stephen A. Boppart

  7. Centre for Microscopy, Characterisation and Analysis, The University of Western Australia, Crawley, WA, Australia

    David D. Sampson

Authors
  1. Brendan F. Kennedy
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  2. Kelsey M. Kennedy
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  3. Amy L. Oldenburg
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  4. Steven G. Adie
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  5. Stephen A. Boppart
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  6. David D. Sampson
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Corresponding author

Correspondence to Brendan F. Kennedy .

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Editors and Affiliations

  1. Center for Medical Physics and Biomedical Engineering, Medical University Vienna, General Hospital Vienna, Vienna, Austria

    Wolfgang Drexler

  2. Department of Electrical Engineering and Computer Science and Research Laboratory of Electronics, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA

    James G. Fujimoto

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Kennedy, B.F., Kennedy, K.M., Oldenburg, A.L., Adie, S.G., Boppart, S.A., Sampson, D.D. (2015). Optical Coherence Elastography. In: Drexler, W., Fujimoto, J. (eds) Optical Coherence Tomography. Springer, Cham. https://doi.org/10.1007/978-3-319-06419-2_33

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