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Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 2nd International Conference on Biomedical Engineering and Biotechnology, 11–13 October 2013, Wuhan, China
Article type: Research Article
Authors: Xu, Lijun; | Zhang, Andi; | Du, Guohao | Xie, Honglan | Chen, Ying; ;
Affiliations: Department of Biomedical Engineering, School of Medicine, Shanghai Jiao Tong University, No.280, South Chongqing RD, Shanghai, China | Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, No.197, Ruijin No.2 RD, Shanghai, China | Shanghai Synchrotron Radiation Facility, No.239, Zhangheng RD, Shanghai, China | Med-X Research Institute, Shanghai Jiao Tong University, No.1954, Huashan RD, Shanghai, China
Note: [] Co-author, contributed equally to this work
Note: [] Co-author, contributed equally to this work
Note: [] Corresponding author. E-mail: chenying@shsmu.edu.cn
Abstract: Purpose: To establish a method for mouse coronary angiography in vivo using synchrotron radiation, which is essential for physiological and pathological research on coronary diseases. Methods: 1) The imaging parameters (e.g., photon energy, spatial resolution of the detector, and injection rate of contrast agent) optimal for the quality of acquired images in a simulation were determined. 2) Through animal experiments, the effectiveness of these optimal parameters and the repeatability of in vivo coronary angiography were verified. 3) An algorithm for background subtraction and contrast enhancement was designed and employed to compensate for the effects of interference and the effective information extracted used for diagnosing coronary disease. Results and conclusions: An optimal set of the imaging parameters was finally determined: photon energy of 33–34 keV, detector's spatial resolution of 30 μm or higher, image capture rate of 20 f/s or more, concentration of lopamidol solution of 75% as contrast agent and a pulse injection of contrast agent at a high rate.
Keywords: Coronary angiography, Synchrotron radiation, In vivo, Optimization, Background subtraction
DOI: 10.3233/BME-130937
Journal: Bio-Medical Materials and Engineering, vol. 24, no. 1, pp. 1341-1349, 2014
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