A New Kernel-Based Fuzzy Level Set Method for Automated Segmentation of Medical Images in the Presence of Intensity Inhomogeneity
Joint Authors
Rastgarpour, Maryam
Shanbehzadeh, Jamshid
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-29
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Researchers recently apply an integrative approach to automate medical image segmentation for benefiting available methods and eliminating their disadvantages.
Intensity inhomogeneity is a challenging and open problem in this area, which has received less attention by this approach.
It has considerable effects on segmentation accuracy.
This paper proposes a new kernel-based fuzzy level set algorithm by an integrative approach to deal with this problem.
It can directly evolve from the initial level set obtained by Gaussian Kernel-Based Fuzzy C-Means (GKFCM).
The controlling parameters of level set evolution are also estimated from the results of GKFCM.
Moreover the proposed algorithm is enhanced with locally regularized evolution based on an image model that describes the composition of real-world images, in which intensity inhomogeneity is assumed as a component of an image.
Such improvements make level set manipulation easier and lead to more robust segmentation in intensity inhomogeneity.
The proposed algorithm has valuable benefits including automation, invariant of intensity inhomogeneity, and high accuracy.
Performance evaluation of the proposed algorithm was carried on medical images from different modalities.
The results confirm its effectiveness for medical image segmentation.
American Psychological Association (APA)
Rastgarpour, Maryam& Shanbehzadeh, Jamshid. 2014. A New Kernel-Based Fuzzy Level Set Method for Automated Segmentation of Medical Images in the Presence of Intensity Inhomogeneity. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-513035
Modern Language Association (MLA)
Rastgarpour, Maryam& Shanbehzadeh, Jamshid. A New Kernel-Based Fuzzy Level Set Method for Automated Segmentation of Medical Images in the Presence of Intensity Inhomogeneity. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-513035
American Medical Association (AMA)
Rastgarpour, Maryam& Shanbehzadeh, Jamshid. A New Kernel-Based Fuzzy Level Set Method for Automated Segmentation of Medical Images in the Presence of Intensity Inhomogeneity. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-513035
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-513035