Presentation
15 March 2023 Improving strain retrieval in compression optical coherence elastography in the presence of speckle (Conference Presentation)
Peter R. T. Munro, Balázs Dura-Kovács, Andrea Mazzolani, Jakub Zalesak, Jiayue Li, Matt S. Hepburn, Brendan F. Kennedy
Author Affiliations +
Abstract
Compression optical coherence elastography depends heavily on strain retrieval from maps of displacement due to mechanical loading. Displacement data is derived from the phase difference between OCT images and is highly oscillatory due to speckle. This limits strain sensitivity and signal to noise ratio. We present an alternative approach to strain retrieval that overcomes this speckle induced limitation by determining the unique spectral domain transformation that maps unloaded A-scans to the loaded A-scans, exactly, for regions of constant strain. Our novel method of strain retrieval has a higher sensitivity and signal to noise ratio than existing approaches.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peter R. T. Munro, Balázs Dura-Kovács, Andrea Mazzolani, Jakub Zalesak, Jiayue Li, Matt S. Hepburn, and Brendan F. Kennedy "Improving strain retrieval in compression optical coherence elastography in the presence of speckle (Conference Presentation)", Proc. SPIE PC12381, Optical Elastography and Tissue Biomechanics X, PC1238104 (15 March 2023); https://doi.org/10.1117/12.2649894
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KEYWORDS
Coherence (optics)

Elastography

Speckle

Tissue optics

Optical coherence tomography

Speckle pattern

Tissues

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