Journal of Computer Science and Technology

, Volume 15, Issue 4, pp 360–367 | Cite as

Reduction of artifacts in images from MR truncated data using singularity spectrum analysis

  • Luo Jianhua 
  • Zhuang Tiange 


In this paper, the theory of signal singularity spectrum analysis (SSA) is proposed. Using SSA theory, a new method is presented to reduce truncation artifacts in magnetic resonance (MR) image due to truncated spectrum data. In the scheme, after detecting signal singularity locations using wavelet analysis in spectrum domain, SSA mathematic model is constructed, where weight coefficients are determined by known truncated spectrum data. Then, the remainder of the truncated spectrum can be obtained using SSA. Experiment and simulation results show that the SSA method will produce fewer artifacts in MR image from truncated spectrum than existing methods.


singularity spectrum function singularity point truncated spectrum 


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Copyright information

© Science Press, Beijing China and Allerton Press Inc. 2000

Authors and Affiliations

  1. 1.Department of Biomedical EngineeringShanghai Jiao Tong UniversityShanghaiP.R. China

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