A VARIATIONAL MULTIPHASE MODEL FOR SIMULTANEOUS MR IMAGE SEGMENTATION AND BIAS CORRECTION

被引:0
|
作者
Zhang, Haili [1 ]
Chen, Yunmei [1 ]
Ye, Xiaojing [2 ]
机构
[1] Univ Florida, Dept Math, Gainesville, FL 32611 USA
[2] Georgia Inst Technol, Sch Math, Atlanta, GA 30332 USA
来源
2012 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2012) | 2012年
关键词
Image segmentation; Maximum a posteriori estimation; Optimization; PDHG; Projection algorithms; INTENSITY INHOMOGENEITY; FIELD ESTIMATION;
D O I
暂无
中图分类号
TB8 [摄影技术];
学科分类号
0804 ;
摘要
In this paper, we present a multiphase segmentation model for MR images in the presence of strong intensity inhomogeneity. The problem is formalized as a constraint min-max optimization problem that consists both primal and dual variables. We use the primal dual hybrid gradient (PDHG) algorithm to alternately solve for the optimal solutions. The proposed algorithm is quite efficient in that all the subproblems have closed form solutions. Moreover, the computational complexity is shown to be linear with respect to the size of the image. Numerical experiments on various images demonstrated that our algorithm outperforms recently developed methods in terms of efficiency and accuracy.
引用
收藏
页码:2037 / 2040
页数:4
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