Computer Science ›› 2019, Vol. 46 ›› Issue (5): 254-259.doi: 10.11896/j.issn.1002-137X.2019.05.039

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Multi-modal Medical Volumetric Image Fusion Based on 3-D Shearlet Transform
and Generalized Gaussian Model

XI Xin-xing1, LUO Xiao-qing1,2, ZHANG Zhan-cheng2,3   

  1. (School of Internet of Things,Jiangnan University,Wuxi,Jiangsu 214122,China)1
    (Jiangsu Provincial Engineerinig Laboratory of Pattern Recognition and Computational Intelligence,Wuxi,Jiangsu 214122,China)2
    (School of Electronic & Information Engineering,Suzhou University of Science and Technology,Suzhou,Jiangsu 215009,China)3
  • Published:2019-05-15

Abstract: In view of the limitation of most traditional multi-modal medical image fusion methods that cannot deal with the medical volumetric images,this paper presented a multi-modal medical volumetric image fusion method based on 3-D shearlet transform (3DST) and generalized gaussian model.Firstly,the preregistered medical volumetric images are decomposed into low frequency parts and high frequency parts by using the 3DST.Next,a novel fusion rule with the local energy is performed on the low frequency subbands.Moreover,an effective fusion rule based on Generalized Gaussian Model (GGD) and fuzzy logic is proposed for integrating the high frequency subbands.Finally,the fused image is obtained by the inverse 3DST.Through subjective and objective performance comparison,experiments on medical volumetric images show thatthe proposed method can obtain better fusion results.

Key words: Medical volumetric image fusion, 3-D shearlet transform, Generalized gaussian model, Fuzzy logic

CLC Number: 

  • TP391
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