@inproceedings{d7e73ef14a774af7bd56116778f68bb6,
title = "Simultaneous reconstruction and displacement estimation for spectral-domain optical coherence elastography",
abstract = "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.",
author = "Mason, {Jonathan H} and Yvonne Reinwald and Ying Yang and Waters, {Sarah L.} and {El Haj}, Alicia and Bagnaninchi, {Pierre O}",
year = "2019",
month = feb,
day = "21",
doi = "10.1117/12.2508326",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "Society of Photo-Optical Instrumentation Engineers",
editor = "Giuliano Scarcelli and Larin, {Kirill V.}",
booktitle = "Optical Elastography and Tissue Biomechanics VI",
address = "United States",
}