Paper Info
Title
Deformable Head Atlas of Chinese Adults Incorporating Inter-Subject Anatomical Variations.
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.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2869331
IEEE ACCESS
Keywords
Field
DocType
Deformable models,personalized anatomy modeling,statistical shape model,digital human head atlases
Training set,Computer vision,Population,Medical imaging,Computer science,Image segmentation,Atlas (anatomy),Medical treatment,Artificial intelligence,Computed tomography,Human head,Distributed computing
Journal
Volume
ISSN
Citations 
6
2169-3536
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Zhaofeng Chen12068.64
Tianshuang Qiu231343.84
Li Huo300.34
Lijuan Yu400.68
Hongcheng Shi511.37
Yanjun Zhang629557.77
Hongkai Wang701.01