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Proceedings Paper

Imaging of gold nanoshell clearance in animal brains in vivo by improved-simultaneous-iterative-based photoacoustic tomography
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Paper Abstract

The high contrast and high resolution photoacoustic tomography was used to image the gold nanoshell clearance in rat brain in vivo. With our current imaging system, the acquisition of photoacoustic signals is realized through a circular scan of a single-element transducer. Therefore, the data acquisition is slow. In this case, an improved simultaneous iterative reconstruction algorithm was developed to reduce the acquisition time by using limited data in the experiments. This algorithm is based on the least square principle; it can be used to reconstruct high quality images from the limited data containing much noise. Furthermore, it is always convergent. So it can improve the imaging quality comparison with conventional filter back-projection algorithm (FBP) and algebraic reconstruction algorithm (ART). Here we accurately mapped rat brain structures with gold nanoshell contrast agents. We also imaged the clearance of gold nanoshell in the rat brain. It provides an accurate non-invasive monitoring method for fluid pathways in biological tissues, which makes photoacoustic tomography as a powerful method for imaging pathologic tumor vessels, delineating neovascularization, and studying global and regional hemodynamic activities in the brain.

Paper Details

Date Published: 1 May 2007
PDF: 8 pages
Proc. SPIE 6534, Fifth International Conference on Photonics and Imaging in Biology and Medicine, 653430 (1 May 2007); doi: 10.1117/12.741448
Show Author Affiliations
Liangzhong Xiang, South China Normal Univ. (China)
Da Xing, South China Normal Univ. (China)
Huaimin Gu, South China Normal Univ. (China)
Diwu Yang, South China Normal Univ. (China)
Sihua Yang, South China Normal Univ. (China)
Lvming Zeng, South China Normal Univ. (China)

Published in SPIE Proceedings Vol. 6534:
Fifth International Conference on Photonics and Imaging in Biology and Medicine
Qingming Luo; Lihong V. Wang; Valery V. Tuchin; Min Gu, Editor(s)

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