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CT and MR Images Fusion Based on Stationary Wavelet Transform by Modulus Maxima

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Computational Vision and Robotics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 332))

Abstract

In medical imaging, combining relevant information from the images of computed tomography (CT) and magnetic resonance imaging (MRI) is a challenging task. MR image carries soft tissue information that shows presence like tumor and CT image shows bone structures. For applications such as bioscopy planning and radio therapy, both kind of information is needed. This makes fusion problem more interesting and challenging. In this paper, we present an image fusion method based on stationary wavelet transform that decomposes source images into approximation, horizontal, vertical, and diagonal components. Coefficients of each of these components are combined using absolute maximum selection criteria separately. Inverse transformation results in a fused image. Also, the proposed method fuses images in presence of noise accurately. The performance of the proposed method is assessed visually and quantitatively. Entropy, fusion factor, and standard deviation are used as fusion performance measures.

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Author information

Authors and Affiliations

  1. Centre of Computer Education, Institute of Professional Studies, University of Allahabad, Allahabad, India

    Om Prakash

  2. Department of Electronics and Communication, University of Allahabad, Allahabad, India

    Ashish Khare

Authors
  1. Om Prakash
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  2. Ashish Khare
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Corresponding author

Correspondence to Om Prakash .

Editor information

Editors and Affiliations

  1. Department of Computer Science & Engineering, Oakland University, Rochester, Michigan, USA

    Ishwar K. Sethi

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© 2015 Springer India

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Prakash, O., Khare, A. (2015). CT and MR Images Fusion Based on Stationary Wavelet Transform by Modulus Maxima. In: Sethi, I. (eds) Computational Vision and Robotics. Advances in Intelligent Systems and Computing, vol 332. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2196-8_23

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  • DOI: https://doi.org/10.1007/978-81-322-2196-8_23

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2195-1

  • Online ISBN: 978-81-322-2196-8

  • eBook Packages: EngineeringEngineering (R0)

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