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Strain retrieval from maps of displacement due to mechanical loading is central to optical coherence elsatography. However, displacement data is usually highly oscillatory since it is derived from the phase difference between OCT images. Oscillations limit sensitivity and signal to noise ratio of retrieved strain. We present an alternative approach to strain retrieval that does not use phase difference, but determines the unique spectral domain transformation that maps the unloaded A-scan to the loaded A-scan, exactly, for regions of constant strain. Our novel method of strain retrieval has a higher sensitivity and signal to noise ratio than existing approaches.
Balazs Dura-Kovacs,Andrea Mazzolani,Jakub Zalesak,Jiayue Li,Matt S. Hepburn,Brendan F. Kennedy, andPeter R. T. Munro
"Highly sensitive and robust strain retrieval in optical coherence elastography", Proc. SPIE PC12367, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII, PC1236717 (9 March 2023); https://doi.org/10.1117/12.2649798
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Balazs Dura-Kovacs, Andrea Mazzolani, Jakub Zalesak, Jiayue Li, Matt S. Hepburn, Brendan F. Kennedy, Peter R. T. Munro, "Highly sensitive and robust strain retrieval in optical coherence elastography," Proc. SPIE PC12367, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXVII, PC1236717 (9 March 2023); https://doi.org/10.1117/12.2649798