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Study on Human Brain Registration Process Using Mutual Information and Evolutionary Algorithms

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Computational Intelligence in Image Processing

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Abstract

The registration of brain images is required to facilitate the study of brain mapping, treatment planning, and image-guided therapies of nervous system. In the present work a similarity measure has been implemented for affine multimodality (MR and CT) image registration of sections of the human brain. In addition, a similarity measure is built on both intensity and gradient-based images. In the present work, the region of interest (ROI), the ventricular region, is segmented using the fuzzy c-means clustering technique. The deformation or change of shape of the ventricular region captures the process of degeneracy and other abnormality in tissue regions of the human brain. The similarity metric should be maximal when two images are perfectly aligned. The genetic algorithm-based search strategy has been utilized to optimize the registration process.

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Acknowledgments

The authors would like to thank Dr. S. K. Sharma, Director, EKO Imaging and X-Ray Institute, Kolkata and All India Institute of Medical Sciences, New Delhi.

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Authors and Affiliations

  1. Department of Information Communication Technology, ABV-Indian Institute of Information Technology and Management, Morena Link Road, Gwalior, 474010, India

    Mahua Bhattacharya

  2. Institute of Radio Physics and Electronics, University of Calcutta, 92, A.P.C Road, Calcutta, 700009, India

    Arpita Das

Authors
  1. Mahua Bhattacharya
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  2. Arpita Das
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Correspondence to Mahua Bhattacharya .

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Editors and Affiliations

  1. , Electrical Engineering Department, Jadavpur University, Kolkata, 700032, West Bengal, India

    Amitava Chatterjee

  2. , LISSI, University of Paris-Est Créteil, 61 avenue du Général de Gaulle, Créteil, 94010, France

    Patrick Siarry

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Bhattacharya, M., Das, A. (2013). Study on Human Brain Registration Process Using Mutual Information and Evolutionary Algorithms. In: Chatterjee, A., Siarry, P. (eds) Computational Intelligence in Image Processing. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30621-1_10

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  • DOI: https://doi.org/10.1007/978-3-642-30621-1_10

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-30620-4

  • Online ISBN: 978-3-642-30621-1

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