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