Image processing for localization and parameterization of the glandular ducts of colon in inflammatory bowel diseases

Stanisław Osowski , Michał Kruk , Robert Koktysz , Jarosław Kurek

Abstract

This chapter presents the computerized system for automatic analysis of the medical image of the colon biopsy, able to extract the important diagnostic knowledge useful for supporting the medical diagnosis of the inflammatory bowel diseases. Application of the artificial intelligence methods included in the developed automatic system allowed the authors to obtain the unique numerical results, impossible for achieving at the visual inspection of the image by the human expert. The developed system enabled the authors to perform all steps in an automatic way, including the segmentation of the image, leading to the extraction of all glandular ducts, parameterization of the individual ducts and creation of the diagnostic features, as well as characterizing the recognition problem. These features put to the input of SVM classifier enable to associate them with the stage of development of the inflammation. The numerical experiments have shown that the system is able to process successfully the images at different stages of development of the inflammation. Its important advantage is automation of this very difficult work, not possible to be done manually, even by a human expert. © 2011, IGI Global.

Author Stanisław Osowski (FoEE / ITEEMIS)
Stanisław Osowski,,
- The Institute of the Theory of Electrical Engineering, Measurement and Information Systems
, Michał Kruk (FoEE / ITEEMIS) - Warsaw University of Life Science (SGGW)
Michał Kruk,,
- The Institute of the Theory of Electrical Engineering, Measurement and Information Systems
, Robert Koktysz
Robert Koktysz,,
-
, Jarosław Kurek
Jarosław Kurek,,
-
Pages1-24
Publication size in sheets1.15
Book Computational Modeling and Simulation of Intellect: Current State and Future Perspectives, 2011, ISBN 9781609605513, 1-24 p.
DOIDOI:10.4018/978-1-60960-551-3.ch001
Languageen angielski
Score (nominal)4
Publication indicators Scopus Citations = 0
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