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多尺度增强算法在肺结节计算机辅助检测中的应用探讨 被引量：2

The application of multi-scale enhancement algorithm in lung nodule computer-aided detection
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摘要 目的研究多尺度增强算法对肺小结节的增强能力及将其作为肺结节计算机辅助检测的处理方法的可行性。方法针对肺结节的形态特点,采用高斯函数模拟肺结节,运用多尺度图像增强滤波器算法,增强肺结节提取兴趣区,供后续的分类判别使用。结果通过对肺部CT图像的应用,说明多尺度增强算法能很好地检测疑似肺结节兴趣区。结论多尺度增强算法对帮助医师检测肺结节有明显的作用,是一种有效的图像预处理方法,对肺结节的计算机辅助检测有较大应用价值。 Objective： To study multi-scale enhancement algorithm and its application in lung nodule computer-aided detection as a preproeessing method. Methods ： Because most lung nodules were circle or like circle and their density distributions were Ganssian distribution, lung nodule was simulated and our muhi-scale enhancement filter was constructed by Gaussian to enhance nodules with varies diameters. Results： The application results indicated that our muhi-scale enhancement filter effectively enhanced nodules with varies diameters. Conclusion： Muhi-scale enhancement algorithm is an effective enhancement filter for lung nodule detection.
作者 张娟 侯庆锋 王昌元 鲁雯 张会如
机构地区 泰山医学院放射学院 泰山医学院信息工程学院
出处 《泰山医学院学报》 CAS 2009年第6期410-412,共3页 Journal of Taishan Medical College
关键词 多尺度增强 计算机辅助检测 高斯函数 感兴趣区 multi-scale enhancement computer-aided detection Gaussian function regions of interest
分类号 R816.4 [医药卫生—放射医学]
  • 相关文献

参考文献9

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共引文献20

同被引文献14

  • 1孙蕾,耿国华,周明全,李丙春.基于可变形模型提取肿瘤区域的方法研究[J].计算机仿真,2005,22(2):236-238. 被引量：6
  • 2侯庆锋,李月卿,王昌元,张军毅.WINDOWS环境下DICOM医学图像显示方法的初步研究[J].医学影像学杂志,2005,15(11):1013-1015. 被引量：14
  • 3侯庆锋,李月卿,于兹喜,王昌元,张军毅.肺部CT图像的计算机辅助分析初探[J].泰山医学院学报,2005,26(3):200-202. 被引量：4
  • 4程勇,牛艳坤,陈卫国.CAD技术在医疗诊断中的应用研究进展[J].中国医师杂志,2006,8(9):1295-1296. 被引量：6
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  • 7Willam Mullally,Margrit Betke,Jingbin Wang.Segmentation ofnodules on chest computed tomography for growth assessment[J].Med Phys,2004,31(4):839-847.
  • 8Ingrid Sluimer,Mathias Prokop,Bram van Ginneken.Toward Au-tomated Segmentation of the Pathological Lung in CT[J].IeeeTransactions on Medical Imaging,2005,24(8):1025-1038.
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引证文献2

泰山医学院学报
2009年 第6期

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