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ITK在肺CT图像分割中的应用探讨

Preliminary research on the application of ITK in CT image segmentation

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【作者】 侯庆锋鲁雯徐惠于兹喜窦汝海

【Author】 HOU Qing-feng LU Wen XU Hui YU Zi-xi DOU Ru-hai(Dept.of Radiology,Taishan Medical College,Taian 271000,China)

【机构】 泰山医学院放射学院

【摘要】 目的探讨ITK在肺CT图像分割中的应用,尝试将其用于肺结节的计算机辅助检测。方法分别应用ITK中的连接域值等图像分割算法对肺CT图像进行分割,并对结果进行比较。结果不同的分割算法处理结果不尽一致,表明图像分割是图像处理中的难点之一。结论肺CT图像的分割非常困难,ITK提供的诸多算法中,Connected Threshold Image Filter算法对肺分割效果较好。

【Abstract】 Objective: To investigate the application of ITK in lung CT image segmentation and computer-aided detection of lung nodules.Methods: A few segment algorithms of ITK,i.e.ConnectedThresholdImageFilter,were used separately to segment lung CT image and the results were compared.Results: The results indicated that varied results were obtained when varied segment algorithms were applied and image segmentation was a very difficult project.Conclusion: It is very difficult to segment the lung CT image and the ConnectedThresholdImageFilter algorithm can achieve better results among the several algorithms provided in ITK.

【关键词】 图像分割ITK肺CT
【Key words】 image segmentationITKlung CT
【基金】 山东省教育厅立项课题(J06G64)
  • 【文献出处】 泰山医学院学报 ,Journal of Taishan Medical College , 编辑部邮箱 ,2011年11期
  • 【分类号】TP391.41
  • 【被引频次】1
  • 【下载频次】162
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