A Modified Brain MR Image Segmentation and Bias Field Estimation Model Based on Local and Global Information
Joint Authors
Luan, Kuan
Liang, Hong
Wang, Lei
Cong, Wang
Song, Jianhua
Ma, Xingcheng
Li, Jin
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-08-29
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Because of the poor radio frequency coil uniformity and gradient-driven eddy currents, there is much noise and intensity inhomogeneity (bias) in brain magnetic resonance (MR) image, and it severely affects the segmentation accuracy.
Better segmentation results are difficult to achieve by traditional methods; therefore, in this paper, a modified brain MR image segmentation and bias field estimation model based on local and global information is proposed.
We first construct local constraints including image neighborhood information in Gaussian kernel mapping space, and then the complete regularization is established by introducing nonlocal spatial information of MR image.
The weighting between local and global information is automatically adjusted according to image local information.
At the same time, bias field information is coupled with the model, and it makes the model reduce noise interference but also can effectively estimate the bias field information.
Experimental results demonstrate that the proposed algorithm has strong robustness to noise and bias field is well corrected.
American Psychological Association (APA)
Cong, Wang& Song, Jianhua& Luan, Kuan& Liang, Hong& Wang, Lei& Ma, Xingcheng…[et al.]. 2016. A Modified Brain MR Image Segmentation and Bias Field Estimation Model Based on Local and Global Information. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1100249
Modern Language Association (MLA)
Cong, Wang…[et al.]. A Modified Brain MR Image Segmentation and Bias Field Estimation Model Based on Local and Global Information. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-13.
https://search.emarefa.net/detail/BIM-1100249
American Medical Association (AMA)
Cong, Wang& Song, Jianhua& Luan, Kuan& Liang, Hong& Wang, Lei& Ma, Xingcheng…[et al.]. A Modified Brain MR Image Segmentation and Bias Field Estimation Model Based on Local and Global Information. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-13.
https://search.emarefa.net/detail/BIM-1100249
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100249