Texture analysis and optical anisotropy measurements of leukocytes for early diagnostics of diabetes mellitus

Author

Butikova, Jelena ; Bocchi, Leonardo ; Freivalds, Talivaldis

Author_Institution

Dept. of Phys. & Math., Univ. of Latvia, Riga, Latvia

Volume

1

fYear

2003

fDate

14-17 Sept. 2003

Abstract

DNA damage had been suggested to contribute to the pathogenesis of insulin dependent diabetes mellitus (IDDM). In this work we present a method for detection and discrimination of such DNA changes by means of analysis of light microscope images of anisotropically stained leukocytes nuclei. Several features of the images have been evaluated, including integrated optical density, degree of polarisation, and textural features. A genetic algorithm, coupled with a neural classifier, has been used to find the best features for identification of the pathology. Reported results indicate the best set is able to achieve an 83% correct classification ratio.

Keywords

biocomputing; blood; cellular biophysics; genetic algorithms; image texture; medical image processing; optical microscopy; patient diagnosis; polarisation; DNA change detection; degree of polarisation; genetic algorithm; insulin dependent diabetes mellitus pathogenesis; integrated optical density; leukocyte optical anisotropy measurement; leukocytes texture analysis; light microscope image analysis; neural classifier; pathology identification; textural feature; Anisotropic magnetoresistance; DNA; Diabetes; Geometrical optics; Image analysis; Insulin; Integrated optics; Microscopy; Pathogens; White blood cells;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on

ISSN

1522-4880

Print_ISBN

0-7803-7750-8

Type

conf

DOI

10.1109/ICIP.2003.1247154

Filename

1247154