Multiple Active Contours Guided by Differential Evolution for Medical Image Segmentation
Joint Authors
Garcia-Capulin, C. H.
Cruz-Aceves, I.
López-Hernández, J. M.
Torres-Cisneros, M.
Guzman-Cabrera, R.
Aviña-Cervantes, J. G.
Rostro-Gonzalez, H.
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-25
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
This paper presents a new image segmentation method based on multiple active contours guided by differential evolution, called MACDE.
The segmentation method uses differential evolution over a polar coordinate system to increase the exploration and exploitation capabilities regarding the classical active contour model.
To evaluate the performance of the proposed method, a set of synthetic images with complex objects, Gaussian noise, and deep concavities is introduced.
Subsequently, MACDE is applied on datasets of sequential computed tomography and magnetic resonance images which contain the human heart and the human left ventricle, respectively.
Finally, to obtain a quantitative and qualitative evaluation of the medical image segmentations compared to regions outlined by experts, a set of distance and similarity metrics has been adopted.
According to the experimental results, MACDE outperforms the classical active contour model and the interactive Tseng method in terms of efficiency and robustness for obtaining the optimal control points and attains a high accuracy segmentation.
American Psychological Association (APA)
Cruz-Aceves, I.& Aviña-Cervantes, J. G.& López-Hernández, J. M.& Rostro-Gonzalez, H.& Garcia-Capulin, C. H.& Torres-Cisneros, M.…[et al.]. 2013. Multiple Active Contours Guided by Differential Evolution for Medical Image Segmentation. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-453141
Modern Language Association (MLA)
Cruz-Aceves, I.…[et al.]. Multiple Active Contours Guided by Differential Evolution for Medical Image Segmentation. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-14.
https://search.emarefa.net/detail/BIM-453141
American Medical Association (AMA)
Cruz-Aceves, I.& Aviña-Cervantes, J. G.& López-Hernández, J. M.& Rostro-Gonzalez, H.& Garcia-Capulin, C. H.& Torres-Cisneros, M.…[et al.]. Multiple Active Contours Guided by Differential Evolution for Medical Image Segmentation. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-14.
https://search.emarefa.net/detail/BIM-453141
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-453141