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Volume 21 Issue 3
May  1999
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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.

SIGNAL RECONSTRUCTION FROM MR TRUNCATED DATA USING SINGULARITY SPECTRUM ANALYSIS

  • Received Date: 1998-04-03
  • Rev Recd Date: 1998-11-16
  • Publish Date: 1999-05-19
  • A new method of truncation MR artifact reduction is proposed in this paper. In the method, any digital signal spectrum can be expressed as the weighted sum of spectrum functions related to the signal singularity locations. The singularity locations and weight coefficients can be extracted from MR truncation spectrum data. Thus we can gain the high spectrum using the sum and reduce the truncation artifact in MR image. Experiment and simulation results show that this method gives much better reconstructed image than available methods.
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  • 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] 崔锦泰著,程正兴译.小波分析导论.西安:西安交通大学出版社,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]骆建华,吕维雪.模糊多准则图像重建技术.计算机学报,1996, 19(8): 609-615.
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