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