计算机工程与应用 ›› 2010, Vol. 46 ›› Issue (9): 152-154.DOI: 10.3778/j.issn.1002-8331.2010.09.043

• 图形、图像、模式识别 • 上一篇    下一篇

针对医学重构模型的3D分割及压缩算法

余伟巍1,席 平1,何 飞2   

  1. 1.北京航空航天大学 机械工程及自动化学院,北京 100191
    2.昆明医学院 第一附属医院 骨科,昆明 650032
  • 收稿日期:2008-10-29 修回日期:2008-12-19 出版日期:2010-03-21 发布日期:2010-03-21
  • 通讯作者: 余伟巍

3D segmentation and compressed algorithm for medical reconstructed model

YU Wei-wei1,XI Ping1,HE Fei2   

  1. 1.School of Mechanical Engineering and Automation,Beihang University,Beijing 100191,China
    2.Department of Orthopedic Surgery,1st Affiliated Hospital of Kunming Medical University,Kunming 650032,China
  • Received:2008-10-29 Revised:2008-12-19 Online:2010-03-21 Published:2010-03-21
  • Contact: YU Wei-wei

摘要: 提供便捷的交互手段,从3D重构模型中精确分割感兴趣区域,为医生术前手术规划提供更为直观和准确的诊断信息。利用VTK(Visualization ToolKit)开发包构架系统平台,采用3D区域生长法分割感兴趣部位,结合数学形态法消除数据的病态关联,实现精确分割,进一步修改数据掩模完成分割后数据的压缩存储。实验证明了上述算法的有效性,可得到良好的3D分割效果。

关键词: 计算机图像处理, 医学图像, 3D分割, 区域生长, 视觉化工具函式库(VTK)

Abstract: Convenient interactive tools for surgeons are provided to get ROI(Region Of Interest) from 3D reconstructed model.Preoperative plan is designed with visual and accurate diagnostic information.Software framework based on VTK(Visualization ToolKit) is built,and 3D region growing algorithm is used to gain ROI,also mathematics morphological method is combined to eliminate morbid superposed data,to achieve accurate segmentation.Finally,dataset mask is modified to realize dataset compressed store.From the result of experimentation,it can illustrate the validation of foresaid algorithm and,prove the effect of 3D segmentation.

Key words: image processing, medical image, 3D segmentation, region growing, Visualization ToolKit(VTK)

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