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Image processing and machine learning for diagnostic analysis of microcirculation
专利权人:
Rosalyn Stacy Hobson;Kayvan Najarian;Nazanin Mirshahi;Kevin R. Ward;Sumeyra Ummuhan Demir Kanik
发明人:
Kayvan Najarian,Rosalyn Stacy Hobson,Kevin R. Ward,Sumeyra Ummuhan Demir Kanik,Nazanin Mirshahi
申请号:
US13259414
公开号:
US08805051B2
申请日:
2010.03.17
申请国别(地区):
US
年份:
2014
代理人:
摘要:
Automated quantitative analysis of microcirculation, such as density of blood vessels and red blood cell velocity, is implemented using image processing and machine learning techniques. Detection and quantification of the microvasculature is determined from images obtained through intravital microscopy. The results of quantitatively monitoring and assessing the changes that occur in microcirculation during resuscitation period assist physicians in making diagnostically and therapeutically important decisions such as determination of the degree of illness as well as the effectiveness of the resuscitation process. Advanced digital image processing methods are applied to provide quantitative assessment of video signals for detection and characterization of the microvasculature (capillaries, venules, and arterioles). The microvasculature is segmented, the presence and velocity of Red Blood Cells (RBCs) is estimated, and the distribution of blood flow in capillaries is identified for a variety of normal and abnormal cases.
来源网站:
中国工程科技知识中心
来源网址:
http://www.ckcest.cn/home/

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