DocumentCode :
320134
Title :
Detection of MRI brain contour using nonlinear anisotropic diffusion filter
Author :
Gallo, G. ; Zingale, A. ; Zingale, R.
Author_Institution :
Dipartimento di Matematica, Catania Univ., Italy
Volume :
3
fYear :
1996
fDate :
31 Oct-3 Nov 1996
Firstpage :
1062
Abstract :
Automated boundary extraction techniques applied to detect MRI brain contour do not provide, until now, contours as accurate as required in critical medical applications; hence contouring is actually accomplished by manual or interactive edge detection methods. In order to overcome such inadequate results, scale-space technique using anisotropic diffusion filter has been applied. After smoothing the gradient has been computed using the nonmaxima suppression technique. When the hysteresis thresholding has been performed the brain contour appeared thinned and almost entirely connected. The used technique provided a great advantage because it allowed to detect the true location and morphology of sulci and gyri
Keywords :
biomedical NMR; brain; edge detection; medical image processing; MRI brain contour detection; anisotropic diffusion filter; automated boundary extraction techniques; critical medical applications; gyri; hysteresis thresholding; interactive edge detection; magnetic resonance imaging; medical diagnostic imaging; nonlinear anisotropic diffusion filter; nonmaxima suppression technique; scale-space technique; smoothing; sulci; Anisotropic magnetoresistance; Biomedical equipment; Filters; Hysteresis; Image edge detection; Magnetic resonance imaging; Manuals; Medical services; Morphology; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
Type :
conf
DOI :
10.1109/IEMBS.1996.652709
Filename :
652709
Link To Document :
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