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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Umetani, K. Pearson, J.T. Schwenke, D.O. Shirai, M. |
| Copyright Year | 2011 |
| Description | Author affiliation: University of Otago, Dunedin, New Zealand (Schwenke, D.O.) || National Cardiovascular Center Research Institute, Suita-shi, Oosaka 565-8565, Japan (Shirai, M.) || Monash University, Clayton, Victoria 3800, Australia (Pearson, J.T.) || Japan Synchrotron Radiation Research Institute, Sayo-gun, Hyogo 679-5198, Japan (Umetani, K.) |
| Abstract | This study elucidates the vascular internal diameter response of coronary arterial circulation in closed-chest rats to evaluate endothelium-dependent and endothelium-independent vasodilatory ability and to investigate disease mechanisms. For this study, we developed an X-ray intravital microscopy system using a microangiography technique and a synchrotron radiation source at SPring-8. An X-ray direct-conversion type detector with 7-μm spatial resolution was used for real-time imaging. Microangiographic images were stored in a digital frame memory system at a maximum rate of 30 frame/s with a 1024 × 1024-pixel, 10-bit format. In imaging experiments, the small coronary arteries were visualized after iodine contrast agent injection into the coronary artery. |
| Starting Page | 7791 |
| Ending Page | 7794 |
| File Size | 1644871 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424441211 |
| ISSN | 1557170X |
| e-ISBN | 9781457715891 |
| e-ISBN | 9781424441228 |
| DOI | 10.1109/IEMBS.2011.6091920 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-08-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | X-ray imaging Arteries Synchrotron radiation In vivo Biomedical imaging Cameras |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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