Establishment of segmentational data set of larynx based on Chinese visible human

谭立文; 张绍祥; 冉旭; 宋林; 胡南

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Establishment of segmentational data set of larynx based on Chinese visible human

更新时间：2026-01-09

- Establishment of segmentational data set of larynx based on Chinese visible human
- Journal of Army Medical University Vol. 30, Issue 1, Pages: 8-10(2008)
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  CLC： R319;R322;R323.1
- Published：2008
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谭立文,张绍祥,冉旭,宋林,胡南.基于中国数字化可视人体喉区细小结构分割数据集的建立[J].陆军军医大学学报(原第三军医大学学报),2008,30(01):8-10.

　TAN Li-wen,ZHANG Shao-xiang,RAN Xu,SONG Lin,HU Nan.Establishment of segmentational data set of larynx based on Chinese visible human[J].J Amry Med Univ (J Third Mil Med Univ),2008,30(01):8-10.
谭立文,张绍祥,冉旭,宋林,胡南.基于中国数字化可视人体喉区细小结构分割数据集的建立[J].陆军军医大学学报(原第三军医大学学报),2008,30(01):8-10. DOI：

　TAN Li-wen,ZHANG Shao-xiang,RAN Xu,SONG Lin,HU Nan.Establishment of segmentational data set of larynx based on Chinese visible human[J].J Amry Med Univ (J Third Mil Med Univ),2008,30(01):8-10. DOI：

摘要

目的建立数字人体喉区细小解剖结构的分割数据集。方法利用Photoshop图像处理软件提供的磁性套索和多边形选择对中国数字化可视人体喉区数据的细小器官和结构进行数据分割，建立喉区解剖结构的分割数据集；分割数据集经图像格式转换后，在Amira 4.1软件中利用域值分割方法自动提取分割区域，进行三维显示，并通过三维结果来验证分割数据。结果对喉软骨、喉肌、声带等细小解剖结构进行了分割，建立了基于数字人体的喉区数据集，基于分割数据建立三维模型真实、可信。结论喉区的分割数据准确、完整，为喉区精细模型的建立奠定了数据基础，同时提供了实用的彩色图像分割方法。

Abstract

Objective To establish a digital segmentational data set of larynx based on Chinese visible human (CVH). Methods Magnetic lasso and polygon tools of Photoshop were used to segment the small organs and structures of larynx of CVH to establish the segmentational data set of larynx. After conversion of the image format

the segmentational structures were extracted automatically with Thresholding Method and presented 3-D visualized

and then were checked up by its result of 3D reconstruction with Amira 4.1 software. Results Many small structures of larynx were segmentated

such as laryngeal cartilage

laryngeal muscles

vocal cords and so on. Then the segmentational data set of larynx based on CVH was established

which can be used to 3-D reconstruction accurately. Conclusion The segmentational data set of larynx is accurate and integrated

which is helpful to establish the elaborate model of larynx and can provide the method of color image segmentation.

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Related Institution

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Department of Digital Medicine， Faculty of Biomedical Engineering and Imaging Medicine， Army Medical University （Third Military Medical University）

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