Hidden Markov random fields and particle swarm combination for brain magnetic resonance image segmentation
Joint Authors
Guerrut, al-Hashimi
Mihyu, Ramadan
Ait-Audia, Sami
Source
The International Arab Journal of Information Technology
Issue
Vol. 15, Issue 3 (31 May. 2018)7 p.
Publisher
Publication Date
2018-05-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
The interpretation of brain images is a crucial task in the practitioners’ diagnosis process.
Segmentation is one of key operations to provide a decision support to physicians.
There are several methods to perform segmentation.
We use Hidden Markov Random Fields (HMRF) for modelling the segmentation problem.
This elegant model leads to an optimization problem.
Particles Swarm Optimization (PSO) method is used to achieve brain magnetic resonance image segmentation.
Setting the parameters of the HMRF-PSO method is a task in itself.
We conduct a study for the choice of parameters that give a good segmentation.
The segmentation quality is evaluated on ground-truth images, using the Dice coefficient also called Kappa index.
The results show a superiority of the HMRF-PSO method, compared to methods such as Classical MRF and MRF using variants of ACO (Ant Colony Optimization).
American Psychological Association (APA)
Guerrut, al-Hashimi& Mihyu, Ramadan& Ait-Audia, Sami. 2018. Hidden Markov random fields and particle swarm combination for brain magnetic resonance image segmentation. The International Arab Journal of Information Technology،Vol. 15, no. 3.
https://search.emarefa.net/detail/BIM-839259
Modern Language Association (MLA)
Guerrut, al-Hashimi…[et al.]. Hidden Markov random fields and particle swarm combination for brain magnetic resonance image segmentation. The International Arab Journal of Information Technology Vol. 15, no. 3 (May. 2018).
https://search.emarefa.net/detail/BIM-839259
American Medical Association (AMA)
Guerrut, al-Hashimi& Mihyu, Ramadan& Ait-Audia, Sami. Hidden Markov random fields and particle swarm combination for brain magnetic resonance image segmentation. The International Arab Journal of Information Technology. 2018. Vol. 15, no. 3.
https://search.emarefa.net/detail/BIM-839259
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-839259