DocumentCode :
2305341
Title :
An Efficient Framework for Brain Tumor Segmentation in Magnetic Resonance Images
Author :
Bourouis, Sami ; Hamrouni, Kamel
Author_Institution :
Nat. Eng. Sch. of Tunis, Univ. Tunis ElManar, Tunis
fYear :
2008
fDate :
23-26 Nov. 2008
Firstpage :
1
Lastpage :
5
Abstract :
The main objective of this paper is to provide an efficient tool for delineating brain tumors in three-dimensional magnetic resonance images. To achieve this goal, we use basically a region-based level-set approach and some conventional methods. Our proposed approach produces good results and decreases processing time. We present here the main stages of our system, and preliminary results which are very encouraging for clinical practice.
Keywords :
biomedical MRI; brain; image segmentation; medical image processing; neurophysiology; set theory; tumours; 3D magnetic resonance image; MRI; brain tumor segmentation; region-based level-set approach; region-competition approach; Deformable models; Image edge detection; Image processing; Image segmentation; Laboratories; Magnetic resonance; Magnetic resonance imaging; Neoplasms; Neuroimaging; Pathology; Brain Tumor Segmentation; Expectation Maximization Algorithm; MRI; Region-Competition Based Level-Set;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing Theory, Tools and Applications, 2008. IPTA 2008. First Workshops on
Conference_Location :
Sousse
Print_ISBN :
978-1-4244-3321-6
Electronic_ISBN :
978-1-4244-3322-3
Type :
conf
DOI :
10.1109/IPTA.2008.4743791
Filename :
4743791
Link To Document :
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