中国组织工程研究

中国组织工程研究 ›› 2011, Vol. 15 ›› Issue (30): 5535-5538.doi: 10.3969/j.issn.1673-8225.2011.30.007

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

指骨骨骺兴趣区域的自动提取方法

冉隆科1，2，宋方洲3，4，谭鹏程1，金  晶1   

  1. 重庆医科大学，1基础医学院计算机教研室；2法医学及生物信息技术研究室；3生物化学和分子生物学教研室；4分子医学与肿瘤研究中心，重庆市   400016
  • 收稿日期:2011-05-18 修回日期:2011-06-20 出版日期:2011-07-23 发布日期:2011-07-23
  • 通讯作者: 宋方洲，博士，教授，重庆医科大学生物化学和分子生物学教研室，重庆医科大学分子医学与肿瘤研究中心，重庆市400016
  • 作者简介:冉隆科★，男，1972年生，土家族，2006年重庆大学毕业，硕士，讲师，主要从事医学数字图像处理、生物医学信息数据挖掘方面的研究。 ranlk@sina.com
  • 基金资助:

    重庆市市渝中区科技计划项目，课题名称“骨龄自动评定系统的关键技术研究及应用”。

Automatic location and extraction method for phalangeal epiphyseal range of interest 

Ran Long-ke1, 2, Song Fang-zhou3, 4, Tan Peng-cheng1, Jin Jing1   

  1. 1Department of Computer, School of Basic Medicine, 2Laboratory of Forensic and Biology Information Technology, 3Department of Biochemistry and Molecular Biology, 4Center of Molecular Medicine and Oncology, Chongqing Medical University, Chongqing  400016, China
  • Received:2011-05-18 Revised:2011-06-20 Online:2011-07-23 Published:2011-07-23
  • Contact: Song Fang-zhou, Doctor, Professor, 1Department of Biochemistry and Molecular Biology, 2Center of Molecular Medicine and Oncology, Chongqing Medical University, Chongqing 400016, China
  • About author:Ran Long-ke★, Master, Lecturer, 1Department of Computer, School of Basic Medicine, 2Laboratory of Forensic and Biology Information Technology, Chongqing Medical University, Chongqing 400016, China ranlk@sina.com
  • Supported by:

    Science and Technology Projects of Yuzhong District, Chongqing City*

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摘要：

背景：在骨龄自动化评定中，许多方法对骨骺兴趣区域的提取不够理想。
目的：通过k余弦算法定位出手指骨的特征点，解决对骨骺兴趣区域的提取的困难和提取方法的局限性。
方法：提取指骨兴趣区域，并用各向异性扩散方法进行滤波，然后根据骨龄指骨的图像数据进行统计，寻找出定位指骨中心点的方法，通过3次多项式对中心点线进行拟合，定位出指骨的中心轴，在此基础上提取出指骨骨骺兴趣区域。
结果与结论：用该方法定位出的指骨中心轴比较真实的反映指骨骨架，在此基础上能提取出指骨骨骺兴趣区域，成功率>95%，并能运用到后续对指骨骨骺兴趣区域相关的评定中。

关键词: 指骨, 骨骺, 骨骺兴趣提取, 兴趣区域, 骨龄

Abstract:

BACKGROUND: At present, several methods are dissatisfactory for extracting epiphyseal/metaphyseal region of interest (EMROIs), which leads to poor reorganization effects and assessment accuracy of bone age.
OBJECTIVE: To overcome the difficulties of EMROI extraction and extraction method limitations based on k-cosine algorithm to local key points of the phalanx.
METHODS: EMROI were extracted and filtered by anisotropic anisotropic diffusion. The statistics of phalanx images data were analyzed and found out the method for locating the central points of the phalanx. A third-order polynomial was used to fit the central axis line according to the central points, and epiphyseal ROIs were then extracted.
RESULTS AND CONCLUSION: Great deals of experiments are showed that the central axis line located by this method is correct, which reflects the real skeleton of the phalanx. On this basis, EMROI can be extracted, and the success rate rises to 95%. And the method can be applied to evaluate EMROI in the following research.

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