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磁共振截斷頻譜信號重建的奇異譜分析法

駱建華 樓正國

駱建華, 樓正國. 磁共振截斷頻譜信號重建的奇異譜分析法[J]. 電子與信息學(xué)報, 1999, 21(3): 397-403.
引用本文: 駱建華, 樓正國. 磁共振截斷頻譜信號重建的奇異譜分析法[J]. 電子與信息學(xué)報, 1999, 21(3): 397-403.
Luo Jianhua, Lou Zhengguo. SIGNAL RECONSTRUCTION FROM MR TRUNCATED DATA USING SINGULARITY SPECTRUM ANALYSIS[J]. Journal of Electronics & Information Technology, 1999, 21(3): 397-403.
Citation: Luo Jianhua, Lou Zhengguo. SIGNAL RECONSTRUCTION FROM MR TRUNCATED DATA USING SINGULARITY SPECTRUM ANALYSIS[J]. Journal of Electronics & Information Technology, 1999, 21(3): 397-403.

磁共振截斷頻譜信號重建的奇異譜分析法

SIGNAL RECONSTRUCTION FROM MR TRUNCATED DATA USING SINGULARITY SPECTRUM ANALYSIS

  • 摘要: 本文提出一種消除磁共振(MR)圖像截斷偽影的新方法。在我們的方法中,把任何信號頻譜表示為由信號奇異點為參量的頻譜函數(shù)的加權(quán)和,奇異點和加權(quán)系數(shù)從截斷頻譜數(shù)據(jù)中提取,從而準(zhǔn)確恢復(fù)MR截斷頻譜的高頻分量,達(dá)到MR消除截斷偽影之目的。實際和模擬結(jié)果都表明這種方法效果高于現(xiàn)有方法。
  • Stack D D, et al. Magnetic resonance and compute tomography of the normal and diseased pancreas: A compare active study. Radiology, 1984, 70(6): 153-162.[2]Jones J P, et al. Principles of Magnetic Resonance. In Magnetic Resonance Annual, 1985, Ed. by Y. K. Herbert, Raven Press, Switzerland: 1985, 71-111.[3]Hui Y, Smith M R. MRI reconstruction from truncated sata using a complex domain back prop-[4]agation neural network. IEEE Pacific RIM Conference on Communications, Computers, and Signal Processing-Proceedings, IEEE, Piscataway, NJ, U.S.A: 1995, 95CH35765, 513-516.[5]Yan Hong, Mao Jintong. Data truncation artifact reduction in MR imaging using a multilayer neural network. IEEE Trans. on Medical Imaging, 1993, MI-12(I): 73-77.[6]Sebastiani G, Barone P. Truncation artifact reduction in magnetic resonance imaging by Markov random field methods. IEEE Trans. on Medical Imaging, 1995, MI-14(3): 434-441.[7]Kok C W, Hui Y, Nguyen T (a. MRI truncation artifact reduction via wavelet shrinkage. IEE SPIE--The International Society for Optical Engineering, 1997, 3078: 301-311.[7] 崔錦泰著,程正興譯.小波分析導(dǎo)論.西安:西安交通大學(xué)出版社,1995, 297-333.[8]Mallat S G, Wen Liang Hwang. Singularity detection and processing with wavelet. IEEE Trans. on Information Theory, 1992, IT-38(2): 617-643.[9]駱建華,呂維雪.模糊多準(zhǔn)則圖像重建技術(shù).計算機學(xué)報,1996, 19(8): 609-615.
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出版歷程
  • 收稿日期:  1998-04-03
  • 修回日期:  1998-11-16
  • 刊出日期:  1999-05-19

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