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Weighted fusion of MRI and PET images based on fractal dimension

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Abstract

In this paper, a fusion scheme is presented to combine the useful information present in magnetic resonance and positron emission tomography images. The proposed scheme utilizes image pre-processing, local feature (fractal dimension), weighted fusion and improved guided filter to extract and combine information present at different scales/frequencies. The fusion scheme assist radiologist in better analysis and diagnosis of different diseases. Visual and quantitative analysis reveals the significance of proposed image fusion scheme, as compared to state of the art techniques.

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Authors and Affiliations

  1. Faculty of Engineering and Technology, International Islamic University, Islamabad, Pakistan

    Umer Javed

  2. School of Engineering and Applied Sciences, Isra University, Islamabad, Pakistan

    Umer Javed & Tanveer Ahmed Cheema

  3. Centre for Advanced Studies in Telecommunication (COMSATS), Islamabad, Pakistan

    M. Mohsin Riaz

  4. Military College of Signals, National University of Sciences and Technology (NUST), Islamabad, Pakistan

    Abdul Ghafoor

Authors
  1. Umer Javed
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  2. M. Mohsin Riaz
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  3. Abdul Ghafoor
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  4. Tanveer Ahmed Cheema
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Correspondence to Abdul Ghafoor.

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Javed, U., Riaz, M.M., Ghafoor, A. et al. Weighted fusion of MRI and PET images based on fractal dimension. Multidim Syst Sign Process 28, 679–690 (2017). https://doi.org/10.1007/s11045-015-0367-y

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  • DOI: https://doi.org/10.1007/s11045-015-0367-y

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