Local difference-based active contour model for medical image segmentation and bias correction

doi:10.1049/iet-ipr.2018.5230

CORC > 地球环境研究所 > 中国科学院地球环境研究所 > 黄土与第四纪地质国家重点实验室（2010~）

	Local difference-based active contour model for medical image segmentation and bias correction
	Niu, Yuefeng 1,2; Cao, Jianzhong 2
刊名	IET IMAGE PROCESSING
	2019-08-22
卷号	13 期号:10 页码:1755-1762
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
ISSN号	1751-9659
DOI	10.1049/iet-ipr.2018.5230
通讯作者	Niu, Yuefeng(niuyuefeng@opt.cn)
英文摘要	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.
资助项目	CAS 'Light of West China' Program[XAB2015B21] ; Western Light of the Chinese Academy of Science[Y429611213]
WOS关键词	LEVEL SET EVOLUTION ; INTENSITY INHOMOGENEITIES ; FITTING ENERGY ; FIELD ; INITIALIZATION ; DISTANCE ; TEXTURE
WOS研究方向	Computer Science ; Engineering ; Imaging Science & Photographic Technology
语种	英语
出版者	INST ENGINEERING TECHNOLOGY-IET
WOS记录号	WOS:000484975000018
资助机构	CAS 'Light of West China' Program ; Western Light of the Chinese Academy of Science
内容类型	期刊论文
源URL	[http://ir.ieecas.cn/handle/361006/13404]
专题	地球环境研究所_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.Univ Chinese Acad Sci, 19 Yuquan Rd, Beijing, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, 17 Xinxi Rd, Xian, Shaanxi, Peoples R China
推荐引用方式 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.