虚拟中国人男性一号(VCH—M1)数据集研究(英文)  被引量:30

Construction of dataset for Virtual Chinese Male No.1

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作  者:原林[1] 唐雷[1] 黄文华[1] 李鉴轶[1] 戴景兴[1] 刘畅[1] 吴涛[1] 王兴海[1] 洪辉文[1] 张美超[1] 焦培峰[1] 陆云涛[1] 吴坤成[1] 李培良[1] 樊继宏[1] 郜元[1] 王庆志[1] 王龙江[1] 武雷[1] 张磊[1] 李新安[1] 陈英华[1] 欧阳钧[1] 钟世镇[1] 

机构地区:[1]第一军医大学解剖教研室,广东广州510515

出  处:《第一军医大学学报》2003年第6期520-523,共4页Journal of First Military Medical University

基  金:National "863" Project for High-tech Development (2001AA231031 and 2002AA231021); and Guangdong Provincial Science and Technology Foundation (2002B30611)

摘  要:目的构建男性虚拟中国人0.2 mm等间距数字图像数据集,并通过改进人体标本处理工艺,提高“虚拟中国人(男性)”数据集的质量。方法材料选自遗体捐献中心,为食物中毒急性死亡的24岁男性,经石炭酸+朱砂动脉灌注、低温盐水定型、预制冰渣倒立包埋、一次装夹、连续等间距铣削等一系列处理后,采用数码相机照相和计算机自动存储获取数据集。结果共获得分辨率为3 024×2 016象素的断面9232片,TIF格式数据集容量为161.56G。另获JPG格式数据集两个,分别为:分辨率3 024×2 016 像素,容量为8.31 G;分辨率180×120 像素,容量为0.74 G。图像组织边界清晰、肢体变形较小,断面标记明显。结论虚拟中国人男一号(VCH—M1)数据集的质量有进一步的提高,为后续的计算机图像处理和有关应用开发提供了质地优良的基础条件。Objective To establish digitized Virtual Chinese Human Male No.1 (VCH-M1) image dataset with a 0.2-mm equal interval. Methods The body of a 24-year-old male was used for this study. Perfusion with phenol and vermilion of the arteries was performed, followed by body shape adjustment by cold saline and pre-embedding with broken ices in an upside-down position, which was completed in a stepwise procedure to minimize body shape deformation. Section milling was conducted subsequently with the section thickness of 2 mm and the section images were captured by digital camera, which were immediately transferred to a computer for storage and processing. Results A total of 9 232 sections were obtained for the whole body, and the resolution of each of the image in TIF format was 3 024×2 016 pixels, resulting in the size of approximately 18 M for each image and about 161 G for the whole dataset. Conclusions Compared with VCH-F1, the image quality in VCH-M1 dataset is significantly improved, demonstrated by much clearer tissue boundary in the images and minimized body shape deformation during the embedding process.

关 键 词:虚拟中国人 男性一号 VCH-M1 数据集 数字化虚拟人 

分 类 号:R322[医药卫生—人体解剖和组织胚胎学]

 

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