Title of article
Segmentation of Magnetic Resonance Brain Images Using Edge and Region Cooperation Characterization of Stroke Lesions
Author/Authors
Cherfa, Yazid Universite de Blida - Laboratoire LARIM - Dpt d electronique, Algerie , Cherfa, Assia Universite de Blida - Laboratoire LARIM - Dpt d electronique, Algerie , Kabir, Yacine Universite de Blida - Laboratoire LARIM - Dpt d electronique, Algerie , Kassous, Sammyh Universite de Blida - Laboratoire LARIM - Dpt d electronique, Algerie , Jaillard, Assia CHU Michalon de Grenoble - Departement Neurologie, France , Dojat, Michel CHU - Unite mixte INSERM/UJF 594, France , Garbay, Catherine Universite Joseph Fourier - Laboratoire CLIPS, France
From page
281
To page
288
Abstract
This paper describes an MR brain image segmentation system based on an edge and region cooperation. After an appropriate preprocessing using an improvement of image quality and brain insulation, we apply the cooperative segmentation to the preprocessed image. This segmentation is evaluated thereafter on reference image. The procedure is applied to several MR images from different subjects having undergone a cerebral vascular attack (stroke), this in order to extract the lesion and characterise them. Furthermore a comparison of our results with these obtained from manual measurements carried out by neurologists is presented.
Keywords
Magnetic resonance image , anisotropic filtering , brain segmentation , stroke , characterisation.
Journal title
The International Arab Journal of Information Technology (IAJIT)
Journal title
The International Arab Journal of Information Technology (IAJIT)
Record number
2543388
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