中国组织工程研究

中国组织工程研究 ›› 2010, Vol. 14 ›› Issue (17): 3062-3064.doi: 10.3969/j.issn.1673-8225.2010.17.006

• 数字化骨科 digital orthopedics • 上一篇    下一篇

基于数字图像处理技术测量松质骨孔隙率的方法

徐晶晶，沈力行，赵改平，陈奇欧   

  1. 上海理工大学生物力学与康复工程研究所，上海市   200093
  • 出版日期:2010-04-23 发布日期:2010-04-23
  • 作者简介:徐晶晶★，女，1985 年生，河北省保定市人，汉族，上海理工大学在读硕士，主要从事康复工程及器械的研究。 mychina1999@126.com

Trabecular bone porosity measurement based on digital image processing

Xu Jing-jing, Shen Li-xing, Zhao Gai-ping, Chen Qi-ou   

  1. Institute of Biomechanics and Rehabilitative Engineering, University of  Shanghai for Science and Technology, Shanghai   200093, China
  • Online:2010-04-23 Published:2010-04-23
  • About author: Xu Jing-jing★, Studying for master’s degree, Institute of Biomechanics and Rehabilitative Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China mychina1999@126.com

PDF

560

被引次数

15

摘要：

背景：传统的松质骨孔隙率检测方法如直接法、气体膨胀法、压汞法、密度法和吸渗法等测量方法存在效率低、劳动强度大和工作繁杂等不足。
目的：利用MATLAB图像处理松质骨切片，计算松质骨孔隙率。
方法：运用MATLAB处理图像的方法，通过对染色后的松质骨切片图像进行去除灯光不均、图像增强、二值化、移除干扰目标等处理，最后得到二值化的二维矩阵。
结果与结论：切片图像由骨质和孔隙构成，对切片图像进行分割并计算孔隙率。主要解决了图像信息中由光照强度不均和其他干扰而影响统计的问题。利用MATLAB骨切片图像处理与分析方法不仅可以用来进行松质骨孔隙率的测量，而且能用来研究孔隙率的分布和变化规律。选取图像不同区域计算出各个选取区域孔隙率大小，用来分析切片孔隙分布的情况，这对于研究松质骨结构提供了一种方法与思路。

关键词: 松质骨, MATLAB, 图像处理, 孔隙率, 数字化骨科, 医学植入物与影像技术

Abstract:

BACKGROUND: Traditional cancellous bone porosity detection methods such as direct method, gas expansion method, mercury injection method, density and osmotic suction measurement have many disadvantages, such as low efficiency, labor-intensive and complexity.
OBJECTIVE: To process cancellous bone chips using MATLAB image processing method to calculate cancellous bone porosity.
METHODS: Using MATLAB image processing method, the stained cancellous bone images were subjected to uneven lighting removal, image enhancement, binarization, removing interference objectives to obtain binary two-dimensional matrix.
RESULTS AND CONCLUSION: Slice image was composed of bone and pore space. The slice image was segmented to calculate its porosity. This solves the problem of the inequality of light intensity and other interferences in image information that affect the statistics. The image processing and analysis methods of bone slices were performed using MATLAB, which can be used for cancellous bone porosity measurements and be used to explore the distribution and variation of porosity. Selecting different regions to calculate the different porosity of each area can be used to analyze the distribution of the pore. This method provides a method for the study of trabecular bone structure.

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