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Chin. Opt. Lett.
 Home  List of Issues    Issue 12 , Vol. 16 , 2018    10.3788/COL201816.121701

Dual-modal photoacoustic/CT imaging system
Kaiye Xia, Xiaohui Zhai, Zhaoheng Xie, Kun Zhou, Yutao Feng, Guangjie Zhang, and Changhui Li
Department of Biomedical Engineering, College of Engineering, [Peking University], Beijing 100871, China

Chin. Opt. Lett., 2018, 16(12): pp.121701

Topic:Medical optics and biotechnology
Keywords(OCIS Code): 170.5120  170.7440  

Photoacoustic (PA) tomography (PAT) breaks the barrier for high-resolution optical imaging in a strong light-scattering medium, having a great potential for both clinical implementation and small animal studies. However, many organs and tissues lack enough PA contrast or even hinder the propagation of PA waves. Therefore, it is challenging to interpret pure PAT images, especially three-dimensional (3D) PA images for deep tissues, without enough structural information. To overcome this limitation, in this study, we integrated PAT with X-ray computed tomography (CT) in a standalone system. PAT provides optical contrast and CT gives anatomical information. We performed agar, tissue phantom, and animal studies, and the results demonstrated that PAT/CT imaging systems can provide accurate spatial registration of important complementary contrasts.

Copyright: © 2003-2012 . This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Posted online:2018/11/26

Get Citation: Kaiye Xia, Xiaohui Zhai, Zhaoheng Xie, Kun Zhou, Yutao Feng, Guangjie Zhang, and Changhui Li, "Dual-modal photoacoustic/CT imaging system," Chin. Opt. Lett. 16(12), 121701(2018)

Note: This work was funded by the National Key Research and Development Program of China (No. 2017YFE0104200), the National Natural Science Foundation of China (No. 81421004), and the National Key Instrumentation Development Project (No. 2013YQ030651). We thank Mr. Wenzhao Li for helping to diagnose and reduce electrical noise of the system.


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