›› 2011, Vol. 42 ›› Issue (1): 133-136.doi: 10.3969/j.issn.0529-1356.2011.01.025

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Database establishment of children head sample slices

  

  1. 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
  • Received:2010-04-07 Revised:2010-06-03 Online:2011-01-06
  • Contact: DONG Fu-sheng

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

Key words: Digital, Virtual, Head, Milling, Child

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