The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE
Transactions ID Number: 31-299
Full Name: Cherfa Yazid
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: Cité des 402 lgts, Bt 20, N°15, OULED YAICH, BLIDA
Country: ALGERIA
Tel: (213) 7 73 02 01 91
Tel prefix:
Fax: (213) 25 43 38 50
E-mail address: cherfa_yazid@yahoo.fr
Other E-mails: jetim@mail.univ-blida.dz
Title of the Paper: Semi-Automatic Segmentation and Characterization of Stroke Lesion in MR Brain Images
Authors as they appear in the Paper: Yazid Cherfa, Assia Cherfa, Assia Jaillard , Latifa Hamami Mitiche
Email addresses of all the authors: cherfa_yazid@yahoo.fr, assia_bz@yahoo.fr, Assia.Jaillard@ujf-grenoble.fr, l_hamami@yahoo.fr
Number of paper pages: 10
Abstract: - In this study, we present a semi automatic method to extract stroke lesion from 2D MR brain images, using edge and region cooperation. After an appropriate preprocessing using an improvement of image quality and skull stripping, 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. We apply the results of this extraction to do a reconstruction and visualisation of 3D stoke in the brain.
Keywords: Magnetic resonance image, anisotropic filtering, brain segmentation, stroke, characterisation
EXTENSION of the file: .doc
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