| 基于局部特征的医学图像融合方法 |
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| 引用本文： | 武杰,聂生东,汪红志,金椋,吴健.基于局部特征的医学图像融合方法[J].中国医学影像技术,2009,25(3):496-498. |
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| 作者姓名： | 武杰 聂生东 汪红志 金椋 吴健 |
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| 作者单位： | 上海理工大学医疗器械与食品学院,上海,200093 |
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| 基金项目： | 上海市市级大学生创新活动计划项目，上海市教委教育科技发展基金，上海市重点学科建设项目 |
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| 摘 要： | 目的 介绍一种基于局部小波系数特征的多尺度医学图像融合方法.方法 首先对待融合的两幅医学图像做多尺度的小波分解,然后采用原始图像灰度的局部标准差作为小波系数选取的参考标准,最后再对选取的小波系数进行重构得到最终的融合图像.结果 成功将一幅MRI解剖图像和一幅SPECT功能图像融合在一起.结论 基于局部特征的医学图像融合方法是切实可行的,且简便灵活,图像融合效果较好.
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| 关 键 词： | 医学图像 小波分析 图像融合 |
| 收稿时间： | 2008/5/13 0:00:00 |
| 修稿时间： | 2008/10/31 0:00:00 |
Method for medical image fusion based on local character |
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| WU Jie,NIE Sheng-dong,WANG Hong-zhi,JIN Liang and WU Jian.Method for medical image fusion based on local character[J].Chinese Journal of Medical Imaging Technology,2009,25(3):496-498. |
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| Authors: | WU Jie NIE Sheng-dong WANG Hong-zhi JIN Liang and WU Jian |
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| Institution: | School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China |
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| Abstract: | Objective To introduce a multiscale wavelet fusion method based on local character of medical image. Methods The basic idea of medical image fusion based on local character was to perform a multiscale decomposition on two medical images, then the local standard deviation of each image was adopted as reference parameter to choose wavelet coefficient, finally the fusion image could be obtained by inverse wavelet transform on these coefficients. Results A piece of MRI anatomy image and a piece of SPECT function image were fused successfully. Conclusion Medical image fusion based on local character is feasible, simple and flexible. |
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| Keywords: | Medical image Wavelet analysis Image fusion |
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