Indexed by:
期刊论文
First Author:
Chen, Zhaofeng
Correspondence Author:
Qiu, TS; Wang, HK (reprint author), Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116024, Peoples R China.
Co-author:
Qiu, Tianshuang,Huo, Li,Yu, Lijuan,Shi, Hongcheng,Zhang, Yanjun,Wang, Hongkai
Date of Publication:
2018-01-01
Journal:
IEEE ACCESS
Included Journals:
SCIE
Document Type:
J
Volume:
6
Page Number:
51392-51400
ISSN No.:
2169-3536
Key Words:
Deformable models; personalized anatomy modeling; statistical shape
model; digital human head atlases
Abstract:
To date, many digital atlases of the human head have been developed, but few incorporate the anatomical variations of the population. In this paper, for the first time, we constructed two digital head atlases (DHAs) of Chinese male and female adults, which can be deformed to simulate the inter-subject anatomical variations. The atlases were developed to assist with personalized medical treatment, population-based radio magnetic simulation, and medical imaging device design. The statistical shape model approach was used to construct the atlases based on a training set of 65 computed tomography (CT) images (including those of 46 males and 19 females). To evaluate the accuracy of anatomy modeling, we compared the atlas morphometry parameters with the reference values of the Chinese population and observed the reasonable agreement between them. Compared with the existing digital human head atlases, a unique feature of the DHA is the capability of emulating individual head anatomy via model deformation. This feature is validated by registering the DHAs to patient CT images. The registered atlases provide complete anatomy of the target subjects, including the structures that are not clearly visible in the CT images.
Translation or Not:
no
