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Hybrid Pixel-Based Method for Multimodal Medical Image Fusion Based on Integration of Pulse-Coupled Neural Network (PCNN) and Genetic Algorithm (GA)

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Advances in Machine Learning and Computational Intelligence

Part of the book series: Algorithms for Intelligent Systems ((AIS))

Abstract

The method by which data from multiple images is incorporated into a single image in order to enhance the quality of the image and reduce the artifacts, randomness and redundancy is known as image fusion. Image fusion plays a vital role in medical diagnosis and treatment. In this paper, a new image fusion algorithm using pulse-coupled neural network (PCNN) with genetic algorithm (GA) optimization has been proposed. Sixteen different sets of CT and PET images have been utilized to validate the performance of the proposed technique. Initially, PCNN has been applied to N layers of the image, and then, fusion coefficient is figured out of Layer N by using genetic algorithm (GA). The fused image obtained contains both functional and anatomical information which is present in individual CT and PET images. The proposed algorithm has been compared with pulse-coupled neural network (PCNN) via subjective and objective analyses. Experimental results illustrate the effectiveness of the proposed algorithm than the existing image fusion techniques.

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Authors and Affiliations

  1. EEE Department, Jerusalem College of Engineering, Chennai, 600100, India

    R. Indhumathi & S. Nagarajan

  2. ECE Department, BVC Engineering College, Allavaram, India

    K. P. Indira

Authors
  1. R. Indhumathi
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  2. S. Nagarajan
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  3. K. P. Indira
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Corresponding author

Correspondence to R. Indhumathi .

Editor information

Editors and Affiliations

  1. School of Computer Science and Engineering, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  2. Simulation and Modelling, School of Science and Technology, Middlesex University, London, UK

    **n-She Yang

  3. Department of Computer Science and Engineering, Oakland University, Rochester, MI, USA

    Ishwar K. Sethi

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Indhumathi, R., Nagarajan, S., Indira, K.P. (2021). Hybrid Pixel-Based Method for Multimodal Medical Image Fusion Based on Integration of Pulse-Coupled Neural Network (PCNN) and Genetic Algorithm (GA). In: Patnaik, S., Yang, XS., Sethi, I. (eds) Advances in Machine Learning and Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-5243-4_82

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  • DOI: https://doi.org/10.1007/978-981-15-5243-4_82

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-5242-7

  • Online ISBN: 978-981-15-5243-4

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