学术交流
动态信息

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

来源:武汉光电国家研究中心   作者:  发布时间:2016年09月01日  点击量:


Lin Huang*, ∥ Wei Cai, ∥ Yuan Zhao* Dan Wu* Lei WangYuqing WangDakun Lai* Jian Rong* Fabao Gao, ** Huabei Jiang*, †, **

*School of Physical Electronics, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China

Department of Biomedical Engineering, University of Florida, FL 32611, USA

Department of Radiology, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, P. R. China

**Corresponding authors.
These two authors contributed equally to this study.


Received: 2 August 2015
Accepted: 4 November 2015
Published: 7 January 2016



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 triple-modality tool for accurate cancer detection and for intraoperative surgical navigation.

Keywords: Thermoacoustic; photoacoustic; MRI; in vivo; tumor detection