中国组织工程研究 ›› 2017, Vol. 21 ›› Issue (20): 3170-3175.doi: 10.3969/j.issn.2095-4344.2017.20.010

• 组织构建实验造模 experimental modeling in tissue construction • 上一篇    下一篇

超高精度小鼠彩色断层数据集的建立

田  俊,贾  越,何鹏飞,郭  珏,靳荣秀,郭  瑞   

  1. 山西医科大学,山西省太原市   030001
  • 修回日期:2017-04-21 出版日期:2017-07-18 发布日期:2017-07-28
  • 作者简介:田俊,男,1979年生,山西省太原市人,汉族,2015年首都医科大学毕业,博士,讲师,主要从事喉癌基础及临床研究。
  • 基金资助:

    山西省重点研发计划(指南)项目(201603D121039);喉癌切缘的3D重建及病理检查标准化研究

Establishment of a high-precision serial colorful slice image data set of mice

Tian Jun, Jia Yue, He Peng-fei, Guo Jue, Jin Rong-xiu, Guo Rui   

  1. Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
  • Revised:2017-04-21 Online:2017-07-18 Published:2017-07-28
  • About author:Tian Jun, M.D., Lecturer, Shanxi Medical University, Taiyuan 030001, Shanxi Province, China
  • Supported by:

    the Key Research and Development Program of Shanxi Province, No. 201603D121039

摘要:

文章快速阅读:

文题释义:
规则断面法:
一种连续切片图像三维重建的配准方法。特点在于取材时将组织修成固定的形状,其平面通常与切片方向垂直。切片时,每张切片都会出现位置与形状固定的边缘,以此边缘为标志手工进行裁剪,配准。该方法操作简单,适用于体积较大的实质器官的配准,也可用于空腔脏器及整器官重建。
改良Kawamoto’s方法:一种由日本Kawamoto教授发明的大型标本冷冻包埋、切片、染色及封固方法。其能够有效减少标本的裂缝、冰晶破坏,并且能够对标本进行特殊染色。本文选取其标本制作及切片部分,主要包括己烷干冰速冻,5%羧甲基纤维素包埋。

 

摘要
背景:
小动物成像及影像研究的广泛应用要求实验者掌握小鼠的断面解剖,小鼠鼻腔鼻窦等研究不能通过通常的活体解剖手段来获得其解剖知识。
目的:将现有的数字虚拟人技术应用于小鼠,建立一个超高精度的小鼠连续断层彩色数据集。
方法:将成年雄性Balb/c小鼠处死后褪毛,改良Kawamoto’s方法进行冰冻包埋,用Leica CM3600XP冰冻切片机以5 μm的层厚进行无间隔连续切片,采用2 400万像素Nikon D750单反相机连续拍摄断面图像,以JPG格式储存。参照规则断面法,使用photoshop7软件裁剪包埋块的边缘,并进一步校正图像大小、调整亮度和配准,以TIFF格式保存。将数据集导入Amira 6.0,用最小二乘法进一步配准,直接对小鼠进行面重建及体重建以判断数据集的质量。
结果与结论:①获取小鼠无间隔连续断面原始图像 6 034张,数据量87 GB,经过图像处理和配准,获得184 G小鼠断层数据集,重建了满意的小鼠三维模型;②基于研究采用的图像采集系统及处理流程,建立的虚拟小鼠数据集具有分辨率高、还原真实性强的特点,将方便实验小鼠精细解剖的研究,并为相关教学及实验研究提供了重要的工具。

 

 

ORCID: 0000-0002-5949-3685(田俊)
 

关键词: 组织构建, 数字化骨科, 虚拟小鼠, 数据集, 三维可视化

Abstract:

BACKGROUND: With the extensive application of small animal imaging and imaging studies, it requires the investigators to master the cross-sectional anatomy of mice, but the anatomy of mouse nasal cavity and sinuses cannot be obtained through vivisection.
OBJECTIVE: To establish a highly precise serial colorful sectional image data set of mice using digital virtual human technology.
METHODS: An adult male Balb/c mouse was killed for freezing embedded using modified Kawamoto’s method and was then serially scanned at 5 μm of thickness by Leica CM3600XP cryostat microtome. The sectional images were photographed with a 24 million pixels Nikon D750 camera and stored as JPG files. All images were preliminarily registered by manually cropping the images based on the edge of block surface using software photoshop 7.0. Then, the image size, brightness and registration were corrected and adjusted, and the format of the images was unified as TIFF. The data set was imported to Amira 6.0 and was registered again with least square method. The quality of the data set was evaluated by three-dimensional reconstruction.
RESULTS AND CONCLUSION: A total of 6 034 original images with a size of 87 GB were captured. After cropping, adjusting and registration, the final size was 184 G. The mouse three-dimensional reconstruction model was satisfactory. To conclude, the data set established using the method and system mentioned above is characterized by high resolution and high-fidelity, which might facilitate the further study of the precise anatomy of mice and other fundamental experiments.

 

 

Key words: Anatomy, Cross-Sectional, Imaging, Three-Dimensional, Tissue Engineering

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