Deformable torso phantoms of Chinese adults for personalized anatomy modelling
Deformable torso phantoms of Chinese adults for personalized anatomy modelling
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中国成人可变形躯干模型，用于个性化解剖建模
DOI：
10.1111/joa.12815
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发表时间：
2018
影响因子：
2.4
通讯作者：
Liu C
中科院分区：
文献类型：
--
作者：
Wang Hongkai;Sun Xiaobang;Wu Tongning;Li Congsheng;Chen Zhonghua;Liao Meiying;Li Mengci;Yan Wen;Huang Hui;Yang Jia;Tan Ziyu;Hui Libo;Liu Yue;Pan Hang;Qu Yue;Chen Zhaofeng;Tan Liwen;Yu Lijuan;Shi Hongcheng;Huo Li;Zhang Yanjun;Tang Xin;Zhang Shaoxiang;Liu C
近年来，医疗和工业应用对个性化解剖建模的需求不断增加，例如人体工程学设备开发，临床放射暴露模拟，生物力学分析和3D动画角色设计。在这项研究中，我们构建了可变形的躯干幻影，可以变形以匹配中国男性和女性成年人的个人解剖结构。这些幻影是基于来自中国正常受试者的79张躯干计算机断层扫描（CT）图像（41男38女）的训练集创建的。从CT图像中分割躯干主要器官，并使用统计形状模型（SSM）方法来了解受试者间的解剖变化。为了匹配人体解剖结构，使用主动形状模型方法将这些幻影注册到个人体表扫描或医学图像中。构建的SSM显示了身体高度、脂肪量、呼吸状态、器官几何形状、男性肌肉大小和女性乳房大小的解剖学差异。畸形幻形器官的质量与中国人口器官质量范围一致。为了验证人体解剖建模的性能，将这些幻影注册到体表扫描和CT图像中。22张测试CT图像的配准精度显示，中位Dice系数大于0.85，中位体积恢复系数（RCvlm）在0.85 ~ 1.1之间，中位平均表面距离(ASD) < 1.5 mm。我们希望这些模型可以作为研究团体个性化解剖建模的计算工具。
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 the personal 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) < 1.5 mm. We hope these phantoms can serve as computational tools for personalized anatomy modelling for the research community.