DocumentCode :
1799407
Title :
An image processing-based method for quantification of microvasculature
Author :
Bo Sun
Author_Institution :
Dept. of Math & Comput. Sci., Lincoln Univ., Lincoln, PA, USA
fYear :
2014
fDate :
14-18 July 2014
Firstpage :
1
Lastpage :
6
Abstract :
The characteristic of microscopic vascular data is that it contains many tiny vessels with branching and complex structure. The quantification of these vascular networks is crucial in diagnose of vascular abnormalities, surgical planning, and monitoring disease progress or remission. Therefore, We have developed a computerized system for automatically measuring the vascular data of a microscopic image. The major component of this system is an image processing-based method for quantitative analysis and a fast and accurate vessels extraction method.
Keywords :
blood vessels; feature extraction; image colour analysis; image segmentation; medical image processing; microscopy; vein recognition; RGB images; image processing; microscopic image; microscopic vascular data; microvasculature quantification; vessel extraction method; Active contours; Algorithm design and analysis; Image color analysis; Image segmentation; Lighting; Microscopy; Automated morphometry; Complexity analysis; Image Processing; Tumor vasculature; Vasculature segmentation; microscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on
Conference_Location :
Chengdu
ISSN :
1945-7871
Type :
conf
DOI :
10.1109/ICMEW.2014.6890564
Filename :
6890564
Link To Document :
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