A Statistical Shape-Based Patient-Specific Anatomical Structure Model

doi:10.1109/ACCESS.2021.3140103

	A Statistical Shape-Based Patient-Specific Anatomical Structure Model
	Xu, Zhuye 1; Zhao, Xiaoqiang 2,3
刊名	IEEE ACCESS
	2022
卷号	10 页码:6708-6719
关键词	Shape Computational modeling Anatomical structure Analytical models Training Solid modeling Three-dimensional displays Medical image processing shape analysis statistical shape model vertices contraction B-spline free-form deformation
ISSN号	2169-3536
DOI	10.1109/ACCESS.2021.3140103
英文摘要	A patient-specific anatomical structure model has been widely used in many medical applications. However, in practical applications, to effectively construct a patient-specific anatomical structure model is a challenge, the reasons are: 1) the manual marking process for landmark points is time-consuming and is prone to have false points; 2) the correspondence establishment is difficult; and 3) the performance of the model is limited. Therefore, the purpose of this study is to automatically construct a patient-specific anatomical structure model to solve these difficulties. Firstly, the input data are preprocessed to enhance the region of interest in CT scan images. Then, the region of interest is regarded as a training specimen, and the triangle is used to mesh the training specimen. Meanwhile, vertices contraction strategy is introduced to iteratively contract triangle meshes, and the correspondences are established through improved B-spline free-form deformation. Finally, principal component analysis is used to generate the final patient-specific anatomical structure model. Experimental results on 30 pelvic CT scan images verify that the proposed method outperforms the compared methods.
WOS研究方向	Computer Science ; Engineering ; Telecommunications
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000745422400001
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/154897]
专题	电气工程与信息工程学院
作者单位	1.Lanzhou Jiaotong Univ, Sch New Energy & Power Engn, Lanzhou 730070, Peoples R China; 2.Lanzhou Univ Technol, Key Lab Gansu Adv Control Ind Proc, Lanzhou 730050, Peoples R China 3.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China;
推荐引用方式 GB/T 7714	Xu, Zhuye,Zhao, Xiaoqiang. A Statistical Shape-Based Patient-Specific Anatomical Structure Model[J]. IEEE ACCESS,2022,10:6708-6719.
APA	Xu, Zhuye,&Zhao, Xiaoqiang.(2022).A Statistical Shape-Based Patient-Specific Anatomical Structure Model.IEEE ACCESS,10,6708-6719.
MLA	Xu, Zhuye,et al."A Statistical Shape-Based Patient-Specific Anatomical Structure Model".IEEE ACCESS 10(2022):6708-6719.