Paper
28 October 2009 High-contrast photoacoustic imaging based on filtered back-projection algorithm with velocity potential integration
Yi Yuan, Da Xing, Liangzhong Xiang
Author Affiliations +
Abstract
Photoacoustic imaging utilizing excitation from a pulsed laser energy source, which takes advantage of high optical contrast and high acoustic resolution, is a high-contrast, high-resolution and noninvasive imaging method. In this paper, a modified filtered back-projection algorithm with velocity potential integration was used to reconstruct the photoacoustic image, and this method can solve the problem of the low contrast in the middle of photoacoustic image. The theory of photoacoustic signal generation was derived and the relationship between velocity potential and absorption distribution was also given. An Nd: YAG laser, operating at the wavelength of 532 nm with a full-width at high magnitude (FWHW) of 10 ns and a repetition of 15 Hz, was used in the experiment as the light source. A simulation sample was irradiated by the laser, and then the photoacoustic signal was generated. The photoacoustic signal was received by a needle hydrophone, which pointed to the center of the samples and controlled by a precision stepper motor to scan circularly around the sample, last the data was saved by the computer. The photoacoustic images of the sample were reconstructed without and with velocity potential integration respectively via modified filtered back-projection algorithm. The reconstruction profile and the quantitative evaluation were presented, and the reconstruction results show that this modified reconstruction algorithm can enhance image contrast and improve image quality greatly.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yi Yuan, Da Xing, and Liangzhong Xiang "High-contrast photoacoustic imaging based on filtered back-projection algorithm with velocity potential integration", Proc. SPIE 7519, Eighth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2009), 75190L (28 October 2009); https://doi.org/10.1117/12.841448
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Cited by 2 scholarly publications.
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KEYWORDS
Reconstruction algorithms

Photoacoustic spectroscopy

Image filtering

Image enhancement

Image quality

Signal generators

Absorption

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