Paper
27 October 2006 Reconstruction algorithm in photoacoustic tomography
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Proceedings Volume 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine; 60470P (2006) https://doi.org/10.1117/12.710946
Event: Fourth International Conference on Photonics and Imaging in Biology and Medicine, 2005, Tianjin, China
Abstract
The photoacoustic (PA) effect refers to the generation of acoustic waves by the modulated optical radiation. A novel tissue imaging technique, photoacoustic imaging is using the acoustic waves made in the PA effect to reconstruct the sample. It whose characteristic is combining the advantages of pure optical imaging and pure ultrasound imaging can map the high contrast and high spatial resolution tissue image. The PA imaging reconstmction algorithm performing the signal filtering operation first and then to reduce the signal data to the image, has the important influence on the quality of the image made by the experiment of PA. With the laser appearance in 1960s, the PA imaging technique made great advance and the reconstruction algorithm gains quick development. The prevalent PA reconstruction algorithms include Kruger's 3D inverse Radon transform, Frenz's Fourier transform, Lihong Wang's method based on the analytic solution. Nowadays, PA imaging technique develops to the real-time PA image. So to choose a suitable fast algorithm is significant to the PA imaging system's application. We will review the current PA imaging reconstruction algorithm and compare them in the aspect of the tissue imaging spatial resolution and so on.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zhiyuan Song, Jingying Jiang, Ruikang K. Wang, Fan Zhang, and Jianquan Yao "Reconstruction algorithm in photoacoustic tomography", Proc. SPIE 6047, Fourth International Conference on Photonics and Imaging in Biology and Medicine, 60470P (27 October 2006); https://doi.org/10.1117/12.710946
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KEYWORDS
Reconstruction algorithms

Fourier transforms

Detection and tracking algorithms

Acoustics

Spatial resolution

Tissue optics

Image quality

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