Mr. Kaicheng Yu Profile

Kaicheng Yu

at Nanchang Univ

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Proceedings Article | 11 July 2021 Poster + Paper

Virtual motionless photoacoustic microscopy for large-scale and high-resolution imaging based on K-Wave

Xianlin Song, Qicai Zhang, Kaicheng Yu

Proceedings Volume 11844, 1184413 (2021) https://doi.org/10.1117/12.2601648

KEYWORDS: Photoacoustic microscopy, Photoacoustic spectroscopy, Imaging systems, Spatial frequencies, Photoacoustic imaging, Ultrasonics, Blood vessels, Transducers, Fourier transforms, Image resolution

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Photoacoustic microscopy has high spatial resolution and unique high optical contrast, so it has attracted the attention of a large number of medical imaging researchers, and has made great progress in the past decade. At present, the most widely used photoacoustic microscopy uses point-by-point scanning imaging method. Although this system has high imaging accuracy, it has low imaging efficiency. Therefore, this paper proposes virtual photoacoustic microscopy based on single-pixel imaging using K-Wave to realize a wide-field imaging without motion. This method is based on the principles of photoacoustic imaging and Fourier single pixel imaging. According to the principle of Fourier single-pixel imaging, any image is a weighted superposition of a sequence of cosine stripes of different spatial frequencies, and the weight coefficients of these stripes can be obtained to reconstruct the image. Therefore, a series of spatial frequency stripes are used to illuminate the sample, and the photoacoustic signal obtained by a single ultrasonic transducer is the Fourier spectral coefficient of the sample corresponding to the spatial frequency, all the Fourier spectral coefficients are obtained, and finally the inverse Fourier transform to obtain high-resolution images. In order to verify the feasibility of this method, this paper uses the K-Wave simulation tool to build a single-pixel photoacoustic microscopic imaging simulation model, and uses this model to image blood vessels. The results show that the lateral resolution of large-scale imaging without point scanning can reach 17 microns, demonstrating that this method can achieve a wide-field imaging with high-resolution.

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