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儿童头部标本薄层断面数据集的建立
引用本文:胡骁颖,董福生,张铁军,马文盛,卢海燕,任国山,曹雷,李创.儿童头部标本薄层断面数据集的建立[J].解剖学报,2011,42(1):133-136.
作者姓名:胡骁颖  董福生  张铁军  马文盛  卢海燕  任国山  曹雷  李创
作者单位:1.河北医科大学附属口腔医院正畸科,石家庄 050017; 2.河北医科大学河北省口腔医学重点实验室,石家庄 050017;3.河北省儿童医院,石家庄 050031; 4.河北医科大学解剖教研室,石家庄 050017
摘    要:目的 以0.1mm层厚建立儿童头部标本薄层断面数据集。 方法 选择中国8岁男孩头颅一个,处于生长发育高峰前期,发育中等,无重大疾病及畸形。标本经过包埋、固定和冷冻30d后,在山东大学医学院断层影像解剖学研究中心实施数控铣切。铣切层厚:0.1mm;铣切环境:-13℃恒低温实验室。标本铣切完毕,使用佳能EOS-1DS MarkII数码相机进行图像采集。 结果 整个头部标本共获得图像2 150张,所有原始图像保存格式为RAW,每张图片约20.4MB,共42.87GB 大小。再分别转换为PSD格式和JPG格式,用于更广泛的数据分享和交流。 结论 成功建立了中国儿童头部断层铣切解剖数据集,该数据集铣切层厚为0.1mm,可以为各种儿童头部相关研究提供解剖学基础。

关 键 词:数字化  虚拟  头部  铣切  儿童
收稿时间:2010-4-7
修稿时间:2010-6-3

Database establishment of children head sample slices
HU Xiao-ying,DONG Fu-sheng,ZHANG Tie-jun,MA Wen-sheng,LU Hai-yan,REN Guo-shan,CAO Lei,LI Chuang.Database establishment of children head sample slices[J].Acta Anatomica Sinica,2011,42(1):133-136.
Authors:HU Xiao-ying  DONG Fu-sheng  ZHANG Tie-jun  MA Wen-sheng  LU Hai-yan  REN Guo-shan  CAO Lei  LI Chuang
Institution:1.Department of Orthodontics,School of Stomatology, Hebei Medical University, Shijiazhuang 050017,China; 2.Hebei Province Stomatology Key Laboratory,School of Stomatology, Hebei Medical University, Shijiazhuang 050017,China; 3.Department of Urology Surgery, Hebei Provence Children Hospital, Shijiazhuang 050031,China; 4.Department of Anatomy, Hebei Medical University, Shijiazhuang 050017,China
Abstract:Objective To establish the image database of the digital virtual chinese children craniofacial structure anterior to growth peak time with 0lmm intervals. Methods An 8-year-old anterior to growth peak time, middle growth and no deformity boy skull was selected to establish the visible chinese boy craniofacial structure image database. After 30 days of embedding, fixing and freezing, the slice-cutting of the skull was performed using a machine in -13℃ homothermic cryogenic laboratory in Research Center for Sectional and Imaging Anatomy, Shandong University School of Medicine. The milling was perfomed with 0.1mm at intervals. The Canon EOS-1DS MarkII camera was used to produce all the images. Results All original image data were saved as RAW format, which was transferred to PSD and JPG format for sharing and commumication more generally. The digital virtual chinese children craniofacial structure dataset gained a total of 2 150 images. An image size with RAW format was approximate of 20.4MB and the whole craniofacial structure images researched 4287GB. We saved 3 versions for variously oriented studies about boy craniofacial structure. Conclusion We established the serial anatomical cross-sectional image data of the craniofacial structure of the children anterior to growth peak time in succeeded. Compared to other available data, the dataset with at intervals 0.1mm were demonstrated to be of more efficient anatomical informa
Keywords:Digital  Virtual  Head  Milling  Child
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