王洪凯

个人信息Personal Information

教授

博士生导师

硕士生导师

主要任职:医学部副部长

性别:男

毕业院校:清华大学

学位:博士

所在单位:医学部

学科:生物医学工程

联系方式:wang.hongkai@dlut.edu.cn

电子邮箱:wang.hongkai@dlut.edu.cn

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Deformable torso phantoms of Chinese adults for personalized anatomy modelling.

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论文类型:期刊论文

发表时间:2018-01-01

发表刊物:Journal of anatomy

收录刊物:PubMed、SCIE

卷号:233

期号:1

页面范围:121-134

ISSN号:1469-7580

关键字:Chinese visible human; digital human phantom; personalized anatomy modelling; personalized biomechanics; personalized dosimetry; statistical shape model

摘要: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.