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Diagnosing Heterogeneous Dynamics for CT Scan Images of Human Brain in Wavelet and MFDFA Domain

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Advances in Optical Science and Engineering

Part of the book series: Springer Proceedings in Physics ((SPPHY,volume 166))

Abstract

CT scan images of human brain of a particular patient in different cross sections are taken, on which wavelet transform and multi-fractal analysis are applied. The vertical and horizontal unfolding of images are done before analyzing these images. Discrete wavelet transform (DWT) through Daubechies basis are done for identifying fluctuations over polynomial trends for clear characterization of CT scan images of human brain in different cross-sections. A systematic investigation of de-noised images are carried out through wavelet normalized energy and wavelet semi-log plots, which clearly points out the mismatch between results of vertical and horizontal unfolding. The mismatch of results confirms the heterogeneity in spatial domain. Using the multi-fractal de-trended fluctuation analysis (MFDFA), the mismatch between the values of Hurst exponent and width of singularity spectrum by vertical and horizontal unfolding confirms the same.

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Acknowledgments

The authors thank Bankura Sammilani Medical College and Hospital, Bankura, West Bengal for providing the CT images of human brain in different cross-section.

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Authors and Affiliations

  1. Indian Institute of Science Education and Research, Kolkata, India

    Sabyasachi Mukhopadhyay, Nandan K. Das, Nirmalya Ghosh & Prasanta K. Panigrahi

  2. Institute of Engineering and Management, Kolkata, India

    Soham Mandal

  3. Bidhan Chandra Krishi Viswa Vidyalaya, Kalyani, India

    Subhadip Dey

  4. College of Engineering and Management, Kolaghat, India

    Asish Mitra

Authors
  1. Sabyasachi Mukhopadhyay
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  2. Soham Mandal
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  3. Nandan K. Das
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  4. Subhadip Dey
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  5. Asish Mitra
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  6. Nirmalya Ghosh
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  7. Prasanta K. Panigrahi
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Corresponding author

Correspondence to Soham Mandal .

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Editors and Affiliations

  1. Physics and Electrical and Computer Engineering, University of Waterloo, Waterloo, Ontario, Canada

    Vasudevan Lakshminarayanan

  2. Engineering Physics and Electronics and Communication Engineering, Institute of Engineering and Management, Kolkata, West Bengal, India

    Indrani Bhattacharya

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Mukhopadhyay, S. et al. (2015). Diagnosing Heterogeneous Dynamics for CT Scan Images of Human Brain in Wavelet and MFDFA Domain. In: Lakshminarayanan, V., Bhattacharya, I. (eds) Advances in Optical Science and Engineering. Springer Proceedings in Physics, vol 166. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2367-2_42

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