Local difference-based active contour model for medical image segmentation and bias correction
Niu, Yuefeng1,2; Cao, Jianzhong1
通讯作者Niu, Yuefeng(niuyuefeng@opt.cn)
2019-08-22
发表期刊IET IMAGE PROCESSING
ISSN1751-9659
卷号13期号:10页码:1755-1762
摘要This study proposes a local bias field and difference estimation (LBDE) model for medical image segmentation and bias field correction. Firstly, the LBDE model uses a linear combination of a given set of smooth orthogonal basis functions, which is called Chebyshev polynomial, to estimate the bias field. Then, a clustering criterion function is defined by considering the difference between the measured image and approximated image in a small region. By applying this difference in the local region, the LBDE model can obtain accurate segmentation results and estimation of the bias field. Finally, the energy functional is incorporated into a level set formulation with a regularisation term, and it is minimised via the level set evolution process. The LBDE model first appears as a two-phase model and then extends to the multi-phase one. Extensive experiments on medical images demonstrate that the LBDE model achieves more precise segmentation results in terms of Jaccard similarity and dice similarity coefficient than the comparative models. Therefore the proposed model can increase the segmentation accuracy and robustness to noise.
关键词image segmentation medical image processing two-phase model medical images LBDE model precise segmentation results comparative models local difference-based active contour model medical image segmentation bias correction local bias field difference estimation model smooth orthogonal basis functions clustering criterion function measured image local region accurate segmentation results level set evolution process
DOI10.1049/iet-ipr.2018.5230
关键词[WOS]LEVEL SET EVOLUTION ; INTENSITY INHOMOGENEITIES ; FITTING ENERGY ; FIELD ; INITIALIZATION ; DISTANCE ; TEXTURE
收录类别SCI ; SCI
语种英语
资助项目CAS 'Light of West China' Program[XAB2015B21] ; Western Light of the Chinese Academy of Science[Y429611213]
WOS研究方向Computer Science ; Engineering ; Imaging Science & Photographic Technology
项目资助者CAS 'Light of West China' Program ; Western Light of the Chinese Academy of Science
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology
WOS记录号WOS:000484975000018
出版者INST ENGINEERING TECHNOLOGY-IET
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ieecas.cn/handle/361006/13405
专题黄土与第四纪地质国家重点实验室(2010~)
通讯作者Niu, Yuefeng
作者单位1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, 17 Xinxi Rd, Xian, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, 19 Yuquan Rd, Beijing, Peoples R China
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GB/T 7714
Niu, Yuefeng,Cao, Jianzhong. Local difference-based active contour model for medical image segmentation and bias correction[J]. IET IMAGE PROCESSING,2019,13(10):1755-1762.
APA Niu, Yuefeng,&Cao, Jianzhong.(2019).Local difference-based active contour model for medical image segmentation and bias correction.IET IMAGE PROCESSING,13(10),1755-1762.
MLA Niu, Yuefeng,et al."Local difference-based active contour model for medical image segmentation and bias correction".IET IMAGE PROCESSING 13.10(2019):1755-1762.
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