DocumentCode :
3170624
Title :
Detection and modeling of infarcted myocardium regions in MRI images using a contour deformable model
Author :
Stalidis, G. ; Maglaveras, N. ; Dimitriadis, A. ; Pappas, C. ; Strintzis, M.
Author_Institution :
Lab. of Med. Inf., Aristotelian Univ. of Thessaloniki, Greece
fYear :
1995
fDate :
10-13 Sep 1995
Firstpage :
17
Lastpage :
20
Abstract :
This work provides a semi-automatic method for defining and modeling of the infarcted myocardial tissue in MRI images. A deformable contour model based on Fourier decomposition is used to define the border of the infarcted region in successive slice images. A new fast algorithm has been developed for fitting the curve to the borders of the region. The method includes a two-stage process which detects boundary points and directly calculates the model parameters. The method has been tested on MR images from patients with myocardial infarction. Results show that the infarcted region modeling method performs well, being fast, accurate and relatively insensitive to image noise and inhomogeneities
Keywords :
biomedical NMR; cardiology; curve fitting; edge detection; medical image processing; physiological models; Fourier decomposition; MRI images; boundary points; contour deformable model; fast algorithm; image inhomogeneities; image noise; infarcted myocardium regions; magnetic resonance imaging; medical diagnostic imaging; model parameters; semiautomatic method; successive slice images; two-stage process; Biomedical informatics; Curve fitting; Deformable models; Heart; Magnetic noise; Magnetic resonance imaging; Mathematical model; Myocardium; Parametric statistics; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers in Cardiology 1995
Conference_Location :
Vienna
Print_ISBN :
0-7803-3053-6
Type :
conf
DOI :
10.1109/CIC.1995.482560
Filename :
482560
Link To Document :
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