Multilevel Thresholding Method Based on Electromagnetism for Accurate Brain MRI Segmentation to Detect White Matter, Gray Matter, and CSF
Joint Authors
Sandhya, G.
Babu Kande, Giri
Savithri, T. Satya
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-11-09
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
This work explains an advanced and accurate brain MRI segmentation method.
MR brain image segmentation is to know the anatomical structure, to identify the abnormalities, and to detect various tissues which help in treatment planning prior to radiation therapy.
This proposed technique is a Multilevel Thresholding (MT) method based on the phenomenon of Electromagnetism and it segments the image into three tissues such as White Matter (WM), Gray Matter (GM), and CSF.
The approach incorporates skull stripping and filtering using anisotropic diffusion filter in the preprocessing stage.
This thresholding method uses the force of attraction-repulsion between the charged particles to increase the population.
It is the combination of Electromagnetism-Like optimization algorithm with the Otsu and Kapur objective functions.
The results obtained by using the proposed method are compared with the ground-truth images and have given best values for the measures sensitivity, specificity, and segmentation accuracy.
The results using 10 MR brain images proved that the proposed method has accurately segmented the three brain tissues compared to the existing segmentation methods such as K-means, fuzzy C-means, OTSU MT, Particle Swarm Optimization (PSO), Bacterial Foraging Algorithm (BFA), Genetic Algorithm (GA), and Fuzzy Local Gaussian Mixture Model (FLGMM).
American Psychological Association (APA)
Sandhya, G.& Babu Kande, Giri& Savithri, T. Satya. 2017. Multilevel Thresholding Method Based on Electromagnetism for Accurate Brain MRI Segmentation to Detect White Matter, Gray Matter, and CSF. BioMed Research International،Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1138219
Modern Language Association (MLA)
Sandhya, G.…[et al.]. Multilevel Thresholding Method Based on Electromagnetism for Accurate Brain MRI Segmentation to Detect White Matter, Gray Matter, and CSF. BioMed Research International No. 2017 (2017), pp.1-17.
https://search.emarefa.net/detail/BIM-1138219
American Medical Association (AMA)
Sandhya, G.& Babu Kande, Giri& Savithri, T. Satya. Multilevel Thresholding Method Based on Electromagnetism for Accurate Brain MRI Segmentation to Detect White Matter, Gray Matter, and CSF. BioMed Research International. 2017. Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1138219
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1138219