DETECTING CEREBRAL ARTERIES AND VEINS: FROM LARGE TO SMALL
| Autor: | Peng Miao, Yisheng Zhu, Shanbao Tong, Abhishek Rege, Nan Li, Nitish V. Thakor, Minheng Li |
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| Rok vydání: | 2010 |
| Předmět: |
Materials science
business.industry Cerebral arteries Biomedical Engineering Medicine (miscellaneous) Blood flow Curvature Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials medicine.anatomical_structure Cerebral cortex Cortex (anatomy) medicine Computer vision Laser illumination Artificial intelligence business Biomedical engineering |
| Zdroj: | Journal of Innovative Optical Health Sciences. :61-67 |
| ISSN: | 1793-7205 1793-5458 |
| DOI: | 10.1142/s1793545810000794 |
| Popis: | In this paper, a model-based reconstruction technique is proposed to simultaneously measure the relative deoxyhemoglobin concentration and the relative blood flow velocity in cerebral cortex. With the help of this model-based reconstruction technique, artifacts due to nonuniform laser illumination and curvature of cortex are efficiently corrected. The results of relative deoxy-hemoglobin concentration and relative blood flow velocity are then used to detect and distinguish cerebral arteries and veins. In an experimental study on rat, cerebral blood vessels are segmented from the reconstructed blood flow image by Otsu multiple threshold method. Afterwards, arteries and veins are distinguished by a simple fuzzy criterion based on the information of relative deoxyhemoglobin concentration. |
| Databáze: | OpenAIRE |
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