Tumor vascular permeability measurement based on color image analysis

Bo Sun, Dainel Vozenilek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Characteristic of microscopy vascular data is that it contains many tiny vessels with branching and complex structure. The quantification of these vascular network is crucial in diagnose of vascular abnormalities, surgical planning, and monitoring disease progress or remission. Therefore, developing an image processing method to automatically and accurately quantify the vessel is important. We are researching two algorithms here to isolate the pixels that represent the vessels. Each algorithm has a specific role to play in the extraction of the vessels. The first algorithm uses color ratios to segment vessels and the second helps compensate for light balance issues by breaking the image into segments. The preliminary result is promising.

Original languageEnglish (US)
Title of host publication2012 International Conference on Systems and Informatics, ICSAI 2012
Pages2003-2007
Number of pages5
DOIs
StatePublished - Jul 30 2012
Event2012 International Conference on Systems and Informatics, ICSAI 2012 - Yantai, China
Duration: May 19 2012May 20 2012

Publication series

Name2012 International Conference on Systems and Informatics, ICSAI 2012

Other

Other2012 International Conference on Systems and Informatics, ICSAI 2012
CountryChina
CityYantai
Period5/19/125/20/12

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All Science Journal Classification (ASJC) codes

  • Information Systems

Cite this

Sun, B., & Vozenilek, D. (2012). Tumor vascular permeability measurement based on color image analysis. In 2012 International Conference on Systems and Informatics, ICSAI 2012 (pp. 2003-2007). [6223443] (2012 International Conference on Systems and Informatics, ICSAI 2012). https://doi.org/10.1109/ICSAI.2012.6223443