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MR图像去噪算法研究进展 被引量:4

Progress of magnetic resonance image on denoising
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摘要 MRI对医学诊断有重要价值,而去噪是MR图像分析与诊断的基础问题之一。因此,探讨能消除MR图像噪声的方法具有重要的临床意义和应用价值。作者从空间域、变换域及多尺度分析等方面对MR图像去噪算法进行综述,分析和比较其性能,并对医学图像去噪领域的前景和趋势进行展望。 Magnetic resonance imaging (MRI) is of great importance in medical diagnosis, and denoise is one of the basic problems in MR image processing and analysis. Therefore, development of methods for eliminating image noise in MRI has important clinical significance and application value. In this paper, denoise in the space domain, transform domain and by multi-scale analysis and other aspects of MRI image denoising algorithms are reviewed, analyzed and their performances are compared. Finally, prospects and future trends for the field of medical image denoising are analyzed.
出处 《磁共振成像》 CAS 2012年第3期231-236,共6页 Chinese Journal of Magnetic Resonance Imaging
关键词 磁共振成像 噪声 Magnetic resonance imaging Noise
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  • 1[9]You Yuli, Kaveh D. Fourth-order partial differential equations for noise removal[J]. IEEE Trans. Image Processing, 2000,9(10):1723~1730. 被引量:1
  • 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. 被引量:1
  • 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. 被引量:1
  • 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. 被引量:1
  • 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. 被引量:1
  • 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. 被引量:1
  • 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. 被引量:1
  • 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. 被引量:1
  • 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. 被引量:1
  • 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. 被引量:1

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