期刊文献+

基于小波变换的磁共振图像增强 被引量:2

MRI Image Enhancement Based on Wavelet Transform
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摘要 磁共振成像技术能在体外对疾病进行无损和无创伤检测,但其图像极易被噪声污染,有必要进行增强处理。本文对小波变换进行了介绍,重点分析其在图像增强处理方面的优点,并给出具体的算法实现步骤。最后给出了本算法用于磁共振图像增强的实例,对结果进行了讨论和展望。 Magnetic resonance imaging (MRI)technique can detect the diseases such as cancer in vitro invasively,but the images often contain noises and need to be enhanced. This paper introduced wavelet transform and focused on its application on image enhancement. Concrete algorithm steps are described. Finally,we shos the actual processing results.
出处 《中国医疗器械信息》 2010年第10期15-16,69,共3页 China Medical Device Information
关键词 小波变换 磁共振 图像增强 wavelet transform magnetic resonance imaging image enhancement
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参考文献4

  • 1Rafael C.Gonzalez,Richard E.Woods著,阮秋琦,阮宇智等译.数字图像处理(第二版)[M].电子工业出版社,2006.
  • 2Huang K Q,Wu Z Y,Wang Q.Image enhancement based on the statistics of visual representation[J].Image and Vision Computing,2005,23(1):51-57.
  • 3Mallat s.信号处理的小波导引第2版[M].杨力华等译.北京:机械工业出版社2002.287-295.
  • 4谢杰成,张大力,徐文立.小波图象去噪综述[J].中国图象图形学报(A辑),2002,7(3):209-217. 被引量:253

二级参考文献66

  • 1[9]You Yuli, Kaveh D. Fourth-order partial differential equations for noise removal[J]. IEEE Trans. Image Processing, 2000,9(10):1723~1730.
  • 2[10]Bouman C, Sauer K. A generalized Gaussian image model of edge preserving map estimation[J]. IEEE Trans. Image Processing, 1993,2(3):296~310.
  • 3[11]Ching P C, So H C, Wu S Q. On wavelet denoising and its applications to time delay estimation[J]. IEEE Trans. Signal Processing,1999,47(10):2879~2882.
  • 4[12]Deng Liping, Harris J G. Wavelet denoising of chirp-like signals in the Fourier domain[A]. In:Proceedings of the IEEE International Symposium on Circuits and Systems[C]. Orlando USA, 1999:Ⅲ-540-Ⅲ-543.
  • 5[13]Gunawan D. Denoising images using wavelet transform[A]. In:Proceedings of the IEEE Pacific Rim Conference on Communications, Computers and Signal Processing[C]. Victoria BC,USA, 1999:83~85.
  • 6[14]Baraniuk R G. Wavelet soft-thresholding of time-frequency representations[A]. In:Proceedings of IEEE International Conference on Image Processing[C]. Texas USA,1994:71~74.
  • 7[15]Lun D P K, Hsung T C. Image denoising using wavelet transform modulus sum[A]. In:Proceedings of the 4th International Conference on Signal Processing[C]. Beijing China,1998:1113~1116.
  • 8[16]Hsung T C, Chan T C L, Lun D P K et al. Embedded singularity detection zerotree wavelet coding[A].In:Proceedings of IEEE International Conference on Image Processing[C]. Kobe Japan, 1999:274~278.
  • 9[17]Krishnan S, Rangayyan R M. Denoising knee joint vibration signals using adaptive time-frequency representations[A]. In:Proceedings of IEEE Canadian Conference on Electrical and Computer Engineering 'Engineering Solutions for the Next Millennium[C]. Alberta Canada, 1999:1495~1500.
  • 10[18]Liu Bin, Wang Yuanyuan, Wang Weiqi. Spectrogram enhancement algorithm: A soft thresholding-based approach[J]. Ultrasound in Medical and Biology, 1999,25(5):839~846.

共引文献252

同被引文献26

  • 1廖旺军,吴湖炳,陈锦章,石敏,尤长宣,王全师.^(18)F-FDG PET-CT在肝脏肿瘤消融治疗中的作用[J].南方医科大学学报,2009,29(8):1641-1642. 被引量:4
  • 2张劲松,宦怡,孙立军,赵海涛,葛雅丽,常英娟,杨春敏.扩散加权成像在脊髓急性外伤中的应用[J].中华放射学杂志,2005,39(5):464-468. 被引量:21
  • 3陈武凡.并行磁共振成像的回顾、现状与发展前景[J].中国生物医学工程学报,2005,24(6):649-654. 被引量:19
  • 4黄峰茜,陈春晓,姚均营.图像分割方法的研究进展[J].中国医疗器械信息,2006,12(12):23-27. 被引量:6
  • 5陈北京,李均利,魏平,陈刚.基于阈值和B样条插值的MR图像增强算法[J].计算机工程与应用,2007,43(13):41-44. 被引量:3
  • 6Camara, O., G. Delso, O. Colliot, et al. A.Moreno- Ingelmo, and I. Bloch. Explicit incorporation of prior anatomical information into a nonrigid registration of thoracic and abdominal CT and 18-FDG whole-body emission PET images[J].IEEE Trans. Med. Imaging, 26:164-178, 2007.
  • 7Xiang-yang JU, J P Siebert, B S Khambay, et al.Self- Correction of 3D Reconstruction from Multi-view Stereo Images. The 2009 IEEE International Workshop on 3-D Digital Imaging and Modeling,Kyoto, Japan, 1606-1613, 2009.
  • 8Ledezma C J, Chen W, Sai V, et al. 18F-FDOPA PET/MRI fusion in patients with primary/recurrent gliomas: Initial experience[J]. Eur J Radiol, 71 (2):242-8,2009.
  • 9G Xiang, Xiang-yang JU, P Holt,et al. Facial Expression Transferring with a Deformable Model. Theory and Practice of Computer Graphics TPCG2009, Cardiff University, 117-124, 2009.
  • 10Ardekani,B.A., S.Guckemus, A.Bachman, et al. Quantitative comparison of algorithms for inter-subject registration of 3D volumetric brain MRI scans[J]. J. Neurosci. Methods, 142:67-76, 2005.

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