Simultaneous reconstruction and displacement estimation for spectral-domain optical coherence elastography

Jonathan H Mason, Yvonne Reinwald, Ying Yang, Sarah L. Waters, Alicia El Haj, Pierre O Bagnaninchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


Optical coherence elastography allows the characterization of the mechanical properties of tissues, and can be performed through estimating local displacement maps from subsequent acquisitions of a sample under different loads. This displacement estimation is limited by noise in the images, which can be high in dynamic systems due to the inability to perform long exposures or B-scan averaging. In this work, we propose a framework for simultaneously enhancing both the image quality and displacement map for elastography, by motion compensated denoising with the block-matching and 4D filtering (BM4D) method, followed by a re-estimation of displacement. We adopt the interferometric synthetic aperture microscopy (ISAM) method to enhance the lateral resolution away from the focal plane, and use sub-pixel cross correlation block matching for non-uniform deformation estimation. We validate this approach on data from a commercial spectral domain optical coherence tomography system, whereby we observe an enhancement of both image and displacement accuracy of up to 33% over a standard approach.
Original languageEnglish
Title of host publicationOptical Elastography and Tissue Biomechanics VI
EditorsGiuliano Scarcelli, Kirill V. Larin
PublisherSociety of Photo-Optical Instrumentation Engineers
ISBN (Electronic)9781510624023
Publication statusPublished - 21 Feb 2019

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging


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