Paper
19 February 2018 Two-dimensional directional synthetic aperture focusing technique using acoustic-resolution photoacoustic microscopy
Seungwan Jeon, Jihoon Park, Chulhong Kim
Author Affiliations +
Abstract
Photoacoustic microscopy (PAM) is a hybrid imaging technology using optical illumination and acoustic detection. PAM is divided into two types: optical-resolution PAM (OR-PAM) and acoustic-resolution photoacoustic microscopy (AR-PAM). Among them, AR-PAM has a great advantage in the penetration depth compared to OR-PAM because ARPAM relies on the acoustic focus, which is much less scattered in biological tissue than optical focus. However, because the acoustic focus is not as tight as the optical focus with a same numerical aperture (NA), the AR-PAM requires acoustic NA higher than optical NA. The high NA of the acoustic focus produces good image quality in the focal zone, but significantly degrades spatial resolution and signal-to-noise ratio (SNR) in the out-of-focal zone. To overcome the problem, synthetic aperture focusing technique (SAFT) has been introduced. SAFT improves the degraded image quality in terms of both SNR and spatial resolution in the out-of-focus zone by calculating the time delay of the corresponding signals and combining them. To extend the dimension of correction effect, several 2D SAFTs have been introduced, but there was a problem that the conventional 2D SAFTs cannot improve the degraded SNR and resolution as 1D SAFT can do. In this study, we proposed a new 2D SAFT that can compensate the distorted signals in x and y directions while maintaining the correction performance as the 1D SAFT.
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Seungwan Jeon, Jihoon Park, and Chulhong Kim "Two-dimensional directional synthetic aperture focusing technique using acoustic-resolution photoacoustic microscopy", Proc. SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018, 104944X (19 February 2018); https://doi.org/10.1117/12.2286019
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KEYWORDS
Signal detection

Photoacoustic microscopy

Acoustics

Signal to noise ratio

Spatial resolution

Image quality

Image resolution

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