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Swarm Intelligence Algorithms for Medical Image Registration: A Comparative Study

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Computational Intelligence, Communications, and Business Analytics (CICBA 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 776))

Abstract

The search for transformation parameters for image registration has been treated traditionally as a multidimensional optimization problem. Non-rigid registration of medical images has been approached in this paper using the particle swarm optimization algorithm and the artificial bee colony algorithm (ABC). Brief introductions to these algorithms have been presented. Results of Matlab simulations of medical image registration approached through these algorithms have been analyzed. The results show that the ABC algorithm results in higher quality of image registration; but, takes longer to converge. The tradeoff issue between the quality of registration and the computing time has been brought forward. This has a strong impact on the choice of the most suitable algorithm for a specific medical application.

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Acknowledgment

Authors acknowledge with gratitude the support received from REVA University, Bengaluru, and M.S. Ramaiah University of Applied Sciences, Bengaluru. They also express sincere thanks to the anonymous reviewers of this paper for their constructive criticism.

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Authors and Affiliations

  1. REVA University, Bengaluru, India

    D. R. Sarvamangala

  2. M.S. Ramaiah University of Applied Sciences, Bengaluru, India

    Raghavendra V. Kulkarni

Authors
  1. D. R. Sarvamangala
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  2. Raghavendra V. Kulkarni
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Corresponding author

Correspondence to D. R. Sarvamangala .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, University of Kalyani, Kalyani, West Bengal, India

    J. K. Mandal

  2. Department of Computer and System Sciences, Visva Bharati University, Bolpur Santiniketan, West Bengal, India

    Paramartha Dutta

  3. Department of Information Technology, Calcutta Business School, Kolkata, India

    Somnath Mukhopadhyay

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Sarvamangala, D.R., Kulkarni, R.V. (2017). Swarm Intelligence Algorithms for Medical Image Registration: A Comparative Study. In: Mandal, J., Dutta, P., Mukhopadhyay, S. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2017. Communications in Computer and Information Science, vol 776. Springer, Singapore. https://doi.org/10.1007/978-981-10-6430-2_35

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  • DOI: https://doi.org/10.1007/978-981-10-6430-2_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6429-6

  • Online ISBN: 978-981-10-6430-2

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