DocumentCode :
1578179
Title :
Analysis of stroke Magnetic resonance images
Author :
Kabir, Yacine ; Belhadj-aissa, A.
Author_Institution :
Electron. Dept., Blida Univ., Blida
fYear :
2008
Firstpage :
1
Lastpage :
6
Abstract :
The problem addressed in this paper is the automatic segmentation of stroke lesions on MR multi-sequences. Lesions enhance differently depending on the MR modality and there is an obvious gain in trying to account for various sources of information in a single procedure. To this aim, we propose a multimodal Markov random field model which includes all MR modalities simultaneously. The results of the multimodal method proposed are compared with those obtained with a mono- dimensional segmentation applied on each MRI sequence separately. We constructed an Atlas of blood supply territories to help clinicians in the determination of stroke subtypes and potential functional deficit.
Keywords :
Markov processes; biomedical MRI; haemodynamics; image segmentation; image sequences; random processes; blood supply territory; image segmentation; image sequences; multimodal Markov random field model; stroke magnetic resonance images; Blood flow; Costs; Hemorrhaging; Image analysis; Image segmentation; Ischemic pain; Lesions; Magnetic analysis; Magnetic resonance; Magnetic resonance imaging; component; formatting; insert; style; styling;
fLanguage :
English
Publisher :
ieee
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
Type :
conf
DOI :
10.1109/ICTTA.2008.4530104
Filename :
4530104
Link To Document :
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