Title :
Segmentation of Magnetic Resonance Images : A State of The Art
Author :
Rouaïnia, Mounira ; Doghmane, Noureddine
Author_Institution :
LAS Res. Lab., Univ. of Skikda, Skikda
Abstract :
Images segmentation constitutes a crucial task in magnetic resonance images analysis by automating and facilitating isolation of anatomical structures and other regions of interest. The purpose of this paper is to present a state of the art of current approaches dealing with anatomical magnetic resonance images segmentation. Emphasis will be placed on revealing the advantages and disadvantages of these methods for medical imaging applications.
Keywords :
biomedical MRI; brain; image segmentation; anatomical magnetic resonance image segmentation; brain; medical imaging; Anatomical structure; Biomedical imaging; Image analysis; Image processing; Image segmentation; Lesions; Magnetic analysis; Magnetic resonance; Magnetic resonance imaging; Performance analysis; Magnetic resonance image; classification; regions of interest; segmentation;
Conference_Titel :
Information and Communication Technologies: From Theory to Applications, 2008. ICTTA 2008. 3rd International Conference on
Conference_Location :
Damascus
Print_ISBN :
978-1-4244-1751-3
Electronic_ISBN :
978-1-4244-1752-0
DOI :
10.1109/ICTTA.2008.4530109
