Journal
INVERSE PROBLEMS AND IMAGING
Volume 5, Issue 3, Pages 645-657Publisher
AMER INST MATHEMATICAL SCIENCES-AIMS
DOI: 10.3934/ipi.2011.5.645
Keywords
Ultrasound image segmentation; global minimization; primal dual method
Categories
Funding
- National Natural Science foundation of China [10926193]
- Postgraduates Research Innovation foundation of Jiangsu Province [CX10B-129Z]
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This paper presents a novel variational model for ultrasound image segmentation that uses a maximum likelihood estimator based on Fisher-Tippett distribution of the intensities of ultrasound images. A convex relaxation method is applied to get a convex model of the subproblem with fixed distribution parameters. The relaxed subproblem, which is convex, can be fast solved by using a primal-dual hybrid gradient algorithm. The experimental results on simulated and real ultrasound images indicate the effectiveness of the method presented.
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