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
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