Journal of Innovative Optical Health Sciences, 2016, 9 (5): 1650015, Published Online: Dec. 27, 2018   

In vivo tumor detection with combined MR–Photoacoustic-Thermoacoustic imaging

Author Affiliations
1 School of Physical Electronics University of Electronic Science and Technology of China Chengdu 610054, P. R. China
2 Department of Biomedical Engineering University of Florida, FL 32611, USA
3 Department of Radiology, West China Hospital Sichuan University, Chengdu, Sichuan 610041, P. R. China
Abstract
Here, we report a new method using combined magnetic resonance (MR)–Photoacoustic (PA)– Thermoacoustic (TA) imaging techniques, and demonstrate its unique ability for in vivo cancer detection using tumor-bearing mice. Circular scanning TA and PA imaging systems were used to recover the dielectric and optical property distributions of three colon carcinoma bearing mice While a 7.0-T magnetic resonance imaging (MRI) unit with a mouse body volume coil was utilized for high resolution structural imaging of the same mice. Three plastic tubes filled with soybean sauce were used as fiducial markers for the co-registration of MR, PA and TA images. The resulting fused images provided both enhanced tumor margin and contrast relative to the surrounding normal tissues. In particular, some finger-like protrusions extending into the surrounding tissues were revealed in the MR/TA infused images. These results show that the tissue functional optical and dielectric properties provided by PA and TA images along with the anatomical structure by MRI in one picture make accurate tumor identification easier. This combined MR–PA–TA-imaging strategy has the potential to offer a clinically useful triplemodality tool for accurate cancer detection and for intraoperative surgical navigation.

Lin Huang, Wei Cai, Yuan Zhao, Dan Wu, Lei Wang, Yuqing Wang, Dakun Lai, Jian Rong, Fabao Gao, Huabei Jiang. In vivo tumor detection with combined MR–Photoacoustic-Thermoacoustic imaging[J]. Journal of Innovative Optical Health Sciences, 2016, 9(5): 1650015.

本文已被 4 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!