3D segmentation and compressed algorithm for medical reconstructed model

doi:10.3778/j.issn.1002-8331.2010.09.043

Computer Engineering and Applications ›› 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 • Previous Articles Next Articles

3D segmentation and compressed algorithm for medical reconstructed model

YU Wei-wei¹，XI Ping¹，HE Fei²

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

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.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

通讯作者: 余伟巍

Abstract

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）

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）

CLC Number:

TP391.41

YU Wei-wei¹，XI Ping¹，HE Fei². 3D segmentation and compressed algorithm for medical reconstructed model[J]. Computer Engineering and Applications, 2010, 46(9): 152-154.

余伟巍¹，席平¹，何飞². 针对医学重构模型的3D分割及压缩算法[J]. 计算机工程与应用, 2010, 46(9): 152-154.

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3D segmentation and compressed algorithm for medical reconstructed model

针对医学重构模型的3D分割及压缩算法

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