Strain retrieval from maps of displacement due to mechanical loading is central to optical coherence elastography. 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 a novel strain retrieval method which determines the unique spectral domain transformation and transverse displacement compensation 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.
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.
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.
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