A dynamic particle swarm optimisation and fuzzy clustering means algorithm for segmentation of multimodal brain magnetic resonance image data
Joint Authors
Qays, Karimah
Bin Umran, Nusayrah
Source
The International Arab Journal of Information Technology
Issue
Vol. 17, Issue 6 (30 Nov. 2020), pp.976-983, 8 p.
Publisher
Zarqa University Deanship of Scientific Research
Publication Date
2020-11-30
Country of Publication
Jordan
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Fuzzy Clustering Means (FCM) algorithm is a widely used clustering method in image segmentation, but it often falls into local minimum and is quite sensitive to initial values which are random in most cases.
In this work, we consider the extension to FCM to multimodal data improved by a Dynamic Particle Swarm Optimization (DPSO) algorithm which by construction incorporates local and global optimization capabilities.
Image segmentation of three-variate MRI brain data is achieved using FCM-3 and DPSOFCM-3 where the three modalities T1-weighted, T2-weighted and Proton Density (PD), are treated at once (the suffix -3 is added to distinguish our three-variate method from mono-variate methods usually using T1-weighted modality).
FCM-3 and DPSOFCM-3 were evaluated on several Magnetic Resonance (MR) brain images corrupted by different levels of noise and intensity non-uniformity.
By means of various performance criteria, our results show that the proposed method substantially improves segmentation results.
For noisiest and most no-uniform images, the performance improved as much as 9% with respect to other methods.
American Psychological Association (APA)
Qays, Karimah& Bin Umran, Nusayrah. 2020. A dynamic particle swarm optimisation and fuzzy clustering means algorithm for segmentation of multimodal brain magnetic resonance image data. The International Arab Journal of Information Technology،Vol. 17, no. 6, pp.976-983.
https://search.emarefa.net/detail/BIM-1434215
Modern Language Association (MLA)
Qays, Karimah& Bin Umran, Nusayrah. A dynamic particle swarm optimisation and fuzzy clustering means algorithm for segmentation of multimodal brain magnetic resonance image data. The International Arab Journal of Information Technology Vol. 17, no. 6 (Nov. 2020), pp.976-983.
https://search.emarefa.net/detail/BIM-1434215
American Medical Association (AMA)
Qays, Karimah& Bin Umran, Nusayrah. A dynamic particle swarm optimisation and fuzzy clustering means algorithm for segmentation of multimodal brain magnetic resonance image data. The International Arab Journal of Information Technology. 2020. Vol. 17, no. 6, pp.976-983.
https://search.emarefa.net/detail/BIM-1434215
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 982-983
Record ID
BIM-1434215