Biomedical image skeletonization: A novel method applied to fibrin network structures

Sukmoon Chang, Casimir A. Kulikowski, Stanley M. Dunn, Saul Levy

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

8 Scopus citations

Abstract

To understand the rheological behavior of fibrin clots, we must obtain quantitative measurements of morphometric parameters of the networks formed under various conditions. The networks are so complex that researchers must currently manually segment the images of network samples and estimate the parameters from them. Skeletonization is a promising tool for automating this task. We here propose a method that rapidly constructs a coarse representation of a skeleton graph and, using the snake model, deforms the graph to obtain smooth skeletons. Unlike many existing approaches, our method does not involve explicit object boundary information or high order derivatives. Since our method processes a given image as a whole, the presence of multiple objects in an image is automatically detected and the skeletons of these objects are computed simultaneously.

Original languageEnglish (US)
Title of host publicationMEDINFO 2001 - Proceedings of the 10th World Congress on Medical Informatics
PublisherIOS Press
Pages901-905
Number of pages5
ISBN (Print)1586031945, 9781586031947
DOIs
StatePublished - 2001
Event10th World Congress on Medical Informatics, MEDINFO 2001 - London, United Kingdom
Duration: Sep 2 2005Sep 5 2005

Publication series

NameStudies in Health Technology and Informatics
Volume84
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Other

Other10th World Congress on Medical Informatics, MEDINFO 2001
CountryUnited Kingdom
CityLondon
Period9/2/059/5/05

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Keywords

  • Feature Extraction
  • Image Processing
  • Skeletonization

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