Chinese Journal of Tissue Engineering Research ›› 2011, Vol. 15 ›› Issue (22): 4087-4089.doi: 10.3969/j.issn.1673-8225.2011.22.023

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Processing of wavelet fusion to MRI image

Gai Li-ping1, Ren Hong-qin2, Wang Gui-lian1, Wang Li1, Zhang Long-mei1, You Lian-lian1   

  1. 1Department of Medical Imaging,  Physis Section, 2Department of Modern Education Technology, All-in-one Card Technology Administration Center, Dalian Medical University, Dalian  116044, Liaoning Province, China
  • Received:2011-01-21 Revised:2011-03-11 Online:2011-05-28 Published:2011-05-28
  • Contact: Ren Hong-qin, Advanced technician, Department of Modern Education Technology, All-in-one Card Technology Administration Center, Dalian Medical University, Dalian 116044, Liaoning Province, China liuj68@sohu.com
  • About author:Gai Li-ping★, Master, Professor, Department of Medical Imaging, Physics Section, Dalian Medical University, Dalian 116044, Liaoning Province, China gai_liping@sina.com

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Abstract:

BACKGROUND: Wavelet fusion is the fusion of two or more images together to get more comprehensive and more accurate image information in same scene.
OBJECTIVE: To restore the lack parts of image and improve the quality of medical image and make diagnoses more convenient.
METHODS: The main principle of image fusion is to have wavelet decomposition by using two-dimensional wavelet analysis to MRI brain stem images and applies many fusion methods to approximations coefficients and details coefficients. Through comparing the renderings in different fusion methods it can identify the most suitable image fusion method for the MRI image; it is the minimum integration method.
RESULTS AND CONCLUSION: The fusion methods can successfully restore the lack parts of original images. Many missing parts can be fully restored using suitable combination of all sorts of fusion methods. Integration with the minimum means the best fusion to the MRI image introduced in the paper. The two-dimensional wavelet analysis of medical images can simplify the program work and improve the visual effects and be helpful to clinical diagnosis.

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