Presentation + Paper
10 October 2020 Super-resolution acoustic-resolution photoacoustic microscopy by a novel algorithm
Author Affiliations +
Abstract
Acoustic-resolution photoacoustic microscopy (AR-PAM) is a promising tool for microvascular imaging. In AR-PAM, a focused transducer is typically used. Limited by acoustic diffraction, in-focus lateral resolution is dependent on the center frequency and numerical aperture of the transducer. On the other hand, out-of-focus lateral resolution will deteriorate, which can be restored to in-focus lateral resolution by synthetic aperture focusing technique (SAFT). Previously, we demonstrated that with prior knowledge of the point-spread function of the AR-PAM imaging system, combined SAFT and Richard-Lucy deconvolution can be applied to achieve super resolution (SR) beyond acoustic diffraction limit and to enhance signal-to-noise ratio (SNR) in both focal and out-of-focus regions. However, SNR of the original AR-PAM image highly affects the performance. Moreover, discontinuities arise in the line pattern that is originally continuous. In this study, we propose a novel algorithm, which combines a novel SAFT method and a directional model-based (D-M) deconvolution method, to break the acoustic diffraction limit. By using our algorithm, FWHM of 20 ~µm for AR-PAM system over DOF of ~1.8 mm is experimentally achieved. Compared with our previous work using Richard-Lucy deconvolution, the D-M deconvolution demonstrates the advantages in high SNR, and good line continuity. Compared with the directional SAFT method, our algorithm achieves SR and higher SNR.
Conference Presentation
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Fei Feng, Siqi Liang, and Sung-Liang Chen "Super-resolution acoustic-resolution photoacoustic microscopy by a novel algorithm", Proc. SPIE 11553, Optics in Health Care and Biomedical Optics X, 1155306 (10 October 2020); https://doi.org/10.1117/12.2574164
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KEYWORDS
Model-based design

Photoacoustic microscopy

Super resolution

Point spread functions

Acoustics

Diffraction

Photoacoustic spectroscopy

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