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Performance Analysis of Brain Imaging Using Enriched CGLS and MRNSD in Microwave Tomography

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Evolution in Computational Intelligence

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1176))

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Abstract

A trade-off between computational time complexity and more number of sensing antennas is a hurdle in high-resolution microwave tomography image reconstruction process. This paper deliberates the efficacy of Krylov subspace- based gradient regularization methods such as Enriched Conjugate Gradient Least Square (Enriched CGLS) and Modified Residual Norm Steepest Descent (MRNSD) method imposed in the reconstruction algorithm which effectively handles the above impediment. The performance of the proposed methods has been tested with varying the number of antennas, operating frequency and the levels of Gaussian noise in brain phantom and mean square error (MSE) and number of iterations are the parameters used for the analysis. MRNSD method has proved its betterment in all the criteria. It achieves 77% accuracy within five iterations.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu, India

    N. Nithya, R. Sivani Priya & M. S. K. Manikandan

Authors
  1. N. Nithya
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  2. R. Sivani Priya
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  3. M. S. K. Manikandan
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Corresponding author

Correspondence to R. Sivani Priya .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Shri Ramswaroop Memorial Group of Professional Colleges (SRMGPC), Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. Department of Computer Science and Information Engineering, National Dong Hwa University, Hualien, Taiwan

    Sheng-Lung Peng

  3. School of Computer Engineering, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India

    Suresh Chandra Satapathy

  4. Department of Informatics, University of Leicester, Leicester, UK

    Yu-Dong Zhang

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Nithya, N., Sivani Priya, R., Manikandan, M.S.K. (2021). Performance Analysis of Brain Imaging Using Enriched CGLS and MRNSD in Microwave Tomography. In: Bhateja, V., Peng, SL., Satapathy, S.C., Zhang, YD. (eds) Evolution in Computational Intelligence. Advances in Intelligent Systems and Computing, vol 1176. Springer, Singapore. https://doi.org/10.1007/978-981-15-5788-0_18

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