Indexed by:
期刊论文
First Author:
Wang, Hongkai
Correspondence Author:
Zhang, SX (reprint author), Third Mil Med Univ, Inst Digital Med, Chongqing 400038, Peoples R China.
Co-author:
Yang, Jia,Tan, Ziyu,Hui, Libo,Liu, Yue,Pan, Hang,Qu, Yue,Chen, Zhaofeng,Tan, Liwen,Yu, Lijuan,Shi, Hongcheng,Sun, Xiaobang,Huo, Li,Zhang, Yanjun,Tang, Xin,Zhang, Shaoxiang,Liu, Changjian,Wu, Tongning,Li, Congsheng,Chen, Zhonghua,Liao, Meiying,Li, Mengci,Yan, Wen,Huang, Hui
Date of Publication:
2018-01-01
Journal:
Journal of anatomy
Included Journals:
PubMed、SCIE
Document Type:
J
Volume:
233
Issue:
1
Page Number:
121-134
ISSN No.:
1469-7580
Key Words:
Chinese visible human; digital human phantom; personalized anatomy
modelling; personalized biomechanics; personalized dosimetry;
statistical shape model
Abstract:
In recent years, there has been increasing demand for personalized anatomy modelling for medical and industrial applications, such as ergonomics device development, clinical radiological exposure simulation, biomechanics analysis, and 3D animation character design. In this study, we constructed deformable torso phantoms that can be deformed to match the personal anatomy of Chinese male and female adults. The phantoms were created based on a training set of 79 trunk computed tomography (CT) images (41 males and 38 females) from normal Chinese subjects. Major torso organs were segmented from the CT images, and the statistical shape model (SSM) approach was used to learn the inter-subject anatomical variations. To match thepersonal anatomy, the phantoms were registered to individual body surface scans or medical images using the active shape model method. The constructed SSM demonstrated anatomical variations in body height, fat quantity, respiratory status, organ geometry, male muscle size, and female breast size. The masses of the deformed phantom organs were consistent with Chinese population organ mass ranges. To validate the performance of personal anatomy modelling, the phantoms were registered to the body surface scan and CT images. The registration accuracy measured from 22 test CT images showed a median Dice coefficient over 0.85, a median volume recovery coefficient (RCvlm ) between 0.85 and 1.1, and a median averaged surface distance (ASD)<1.5mm. We hope these phantoms can serve as computational tools for personalized anatomy modelling for the research community. © 2018 Anatomical Society.
Translation or Not:
no
