Study on the Effect of Noise in Microwave Tomography

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Authors

  • Raj Krishan Ghosh
     Department of Electronics and Communication Engineering, Kalyani Government Engineering College, Kalyani ,IN
  • Shruti Samanta
     Department of Electronics and Communication Engineering, Kalyani Government Engineering College, Kalyani ,IN
  • Kabita Purkait
     Department of Electronics and Communication Engineering, Kalyani Government Engineering College, Kalyani ,IN

DOI:

https://doi.org/10.24906/isc/2019/v33/i3/185429
Tomography, Reconstruction, Noise, SNR, Percentage Accuracy.

Abstract

In this paper, the capability of Exact Algorithm for operating in strongly noisy environment has been studied for reconstruction of images of biological target in Microwave Tomography. Other commonly used imaging system e.g. Ultrasound assisted tomography and Magnetic Resonance Imaging system require sophisticated Wavelet domain method of filtering technique for suppression of noise to improve the quality of image for medical purpose. Here, the effect of noise on the reconstruction was investigated by deliberately adding Additive White Gaussian Noise theoretically in the complex received electric field of the Microwave Imaging system for signal to noise ratio of 10dB to 60dB. For diseased model, percentage accuracy have changed from 90% - 100% for same variation of S/N ratio. Least accuracy is obtained in diseased organ kidney where complex permittivity value deviates from its normal value by 15% due to disease. This also indicates the presence of disease at that particular organ. From this study, it can be concluded that the accuracy of reconstructed image is found to be independent of noise.

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Published

2019-05-01

How to Cite

Ghosh, R. K., Samanta, S., & Purkait, K. (2019). Study on the Effect of Noise in Microwave Tomography. Indian Science Cruiser, 33(3), 15–18. https://doi.org/10.24906/isc/2019/v33/i3/185429

Issue

Volume 33, Issue 3, May 2019

Section

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References

J. M. Ollinger and J. A. Fessler, “Positron-emission tomographyâ€, IEEE Signal Processing Magazine, Volume: 14, Issue: 1, pp 43 – 55, Jan 1997.

Lawrence E. Crooks, “An Introduction to Magnetic Resonance Imagingâ€, IEEE Engineering in Medicine and Biology Magazine, Volume: 4, Issue: 3, pp 8 - 15, Sept. 1985.

M. G. Maginness, “Methods and terminology for diagnostic ultrasound imaging systemsâ€, Proceedings of the IEEE, Volume: 67 , Issue: 4 , pp 641 – 653, April 1979.

L. E. Larsen, J. H. Jacobi, T. C. Guo and A. C. Kak, “Microwave Imaging System for Medical Diagnostic Applicationsâ€, IEEE Transaction on Biomedical Engg. Sept. 1984.

Huda Al-Ghaib and Reza Adhami, “On the digital image additive white Gaussian noise estimationâ€, 2014 International Conference on Industrial Automation, Information and Communications Technology, 28-30 Aug. 2014.

Robert D Nowak, “Wavelet Based Rician Noise Removal for Magnetic Resonance Imagingâ€, IEEE Transaction on Image Processing,Vol.8,No.10,pp.1408-1419,October 1999.

Aleksandra Pizurica, Wilfried Philips, Ignance Lemahieu and Marc Acheroy, “ A Versatile Wavelet Domain Noise Filtration Technique for Medical Imagingâ€, IEEE Transaction on Medical Imaging,Vol.22, No.3,pp-323-331,March2003.

Edward C. Jordan and Keith G. Balmain, “Electromagnetic Waves and Radiating Systems (Second Edition)â€, Prentice Hall Inc. Publications

K. Purkait, “An Exact Algorithm for Microwave Tomographyâ€, presented at Symposium HOT-2003, INRAPHEL, C.U.,3rd – 5th Feb 2003.

K. Purkait and Sudip Mondal, “Application of Simultaneous Iterative Exact Reconstruction Algorithm for Medical Diagnosisâ€, IEEE conference Proc. 18th April,2011.

A.N.Datta and B. Bandyopadhyay, “ An SIRT style reconstruction algorithm for microwave tomographyâ€, IEEE Transaction on Biomedical Engg., Vol.32 pp-719-723,1985.