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