Segmentation of magnetic resonance brain images using edge and region cooperation characterization of stroke lesions
Joint Authors
Cherfa, Yazid
Cherfa, Assia
Kabir, Yasin
Kassous, Sammyh
Source
The International Arab Journal of Information Technology
Issue
Vol. 4, Issue 3 (31 Jul. 2007), pp.281-288, 8 p.
Publisher
Publication Date
2007-07-31
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Medicine
Information Technology and Computer Science
Topics
Abstract EN
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.
American Psychological Association (APA)
Cherfa, Yazid& Cherfa, Assia& Kabir, Yasin& Kassous, Sammyh. 2007. Segmentation of magnetic resonance brain images using edge and region cooperation characterization of stroke lesions. The International Arab Journal of Information Technology،Vol. 4, no. 3, pp.281-288.
https://search.emarefa.net/detail/BIM-11696
Modern Language Association (MLA)
Cherfa, Yazid…[et al.]. Segmentation of magnetic resonance brain images using edge and region cooperation characterization of stroke lesions. The International Arab Journal of Information Technology Vol. 4, no. 3 (Jul. 2007), pp.281-288.
https://search.emarefa.net/detail/BIM-11696
American Medical Association (AMA)
Cherfa, Yazid& Cherfa, Assia& Kabir, Yasin& Kassous, Sammyh. Segmentation of magnetic resonance brain images using edge and region cooperation characterization of stroke lesions. The International Arab Journal of Information Technology. 2007. Vol. 4, no. 3, pp.281-288.
https://search.emarefa.net/detail/BIM-11696
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 287
Record ID
BIM-11696