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

Zarqa University

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