DocumentCode :
3633705
Title :
Texture analysis in application to quantitative study of 3D vascular tree images
Author :
Artur Klepaczko;Marek Kocinski;Andrzej Materka;Martha Chekenya;Arvid Lundervold
Author_Institution :
Medical Electronics Division, Institute of Electronics, Technical University of Lodz, ul. Wolczanska 211/215, PL-90924, Poland
fYear :
2009
Firstpage :
730
Lastpage :
735
Abstract :
It has been demonstrated recently by the authors that texture analysis of 3D images of vascular trees can be used to describe the trees quantitatively (see References section). Computer-simulated trees and their raster images were used in that study. This paper presents experimental confirmation of the findings using supervised and unsupervised classification methods.
Keywords :
"Image analysis","Image texture analysis","Image resolution","Arteries","Veins","Signal processing algorithms","Biomedical imaging","Computer architecture","Magnetic resonance imaging","Biomedical measurements"
Publisher :
ieee
Conference_Titel :
Image and Signal Processing and Analysis, 2009. ISPA 2009. Proceedings of 6th International Symposium on
ISSN :
1845-5921
Print_ISBN :
978-953-184-135-1
Type :
conf
DOI :
10.1109/ISPA.2009.5297639
Filename :
5297639
Link To Document :
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