2021
DOI: 10.1117/1.jbo.26.4.046002
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Generalized spatial coherence reconstruction for photoacoustic computed tomography

Abstract: Significance: Coherence, a fundamental property of waves and fields, plays a key role in photoacoustic image reconstruction. Previously, techniques such as short-lag spatial coherence (SLSC) and filtered delay, multiply, and sum (FDMAS) have utilized spatial coherence to improve the reconstructed resolution and contrast with respect to delay-and-sum (DAS). While SLSC uses spatial coherence directly as the imaging contrast, FDMAS employs spatial coherence implicitly. Despite being more robust against noise, bot… Show more

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Cited by 2 publications
(1 citation statement)
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“…Subsequently, we introduced several filtering steps to further improve signal quality, incorporating bandpass filtering on the raw TA signals within a frequency range of 0.5-4MHz to retain pertinent frequency components while suppressing noise and interference. For image reconstruction, we implemented a short-lag spatial coherence (SLSC) reconstruction algorithm optimized for TA signals, which reconstructs images by determining the cross-correlation among the 64 detector elements of the US transducer, analyzing results from different element separations or lags [40].…”
Section: Methodsmentioning
confidence: 99%
“…Subsequently, we introduced several filtering steps to further improve signal quality, incorporating bandpass filtering on the raw TA signals within a frequency range of 0.5-4MHz to retain pertinent frequency components while suppressing noise and interference. For image reconstruction, we implemented a short-lag spatial coherence (SLSC) reconstruction algorithm optimized for TA signals, which reconstructs images by determining the cross-correlation among the 64 detector elements of the US transducer, analyzing results from different element separations or lags [40].…”
Section: Methodsmentioning
confidence: 99%