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Purkait, Kabita
- An Approach To A Narrow Beam Antenna For Microwave Scanning Of Stroke Affected Brain Cells
Abstract Views :429 |
PDF Views:6
Authors
Affiliations
1 Department of Electronics & Communication Engineering, Kalyani Govt. Engineering College, West Bengal, IN
2 Electronics & Communication Engineering, Kalyani Govt. Engineering College, West Bengal, IN
1 Department of Electronics & Communication Engineering, Kalyani Govt. Engineering College, West Bengal, IN
2 Electronics & Communication Engineering, Kalyani Govt. Engineering College, West Bengal, IN
Source
Indian Science Cruiser, Vol 32, No 3 (2018), Pagination: 43-46Abstract
The purpose of this study was to reduce the beamwidth of broadside quarter-wave dipole array antenna which has been proposed to scan the stroke affected brain model. Since the inhomogeneities in complex permittivity in different cells in human brain is of the order of millimeter range, the beamwidth of the scanning signal should be as narrow as possible in the near field region of the transmitting system to achieve resolution required for medical purpose. Two different techniques have been undertaken here for the curtailment of beamwidth of near field pattern of broadside quarter-wave dipole array antenna. In the first method, beamwidth of the interrogating wave is studied for different values of transmitting frequency of the system from 2.4 GHz to 8 GHz keeping the number of array element fixed that results in reduction of beamwidth with increase in frequency. In the 2ndapproach, decrease of beamwidth is observed with increase in the number of array elements when the transmitting signal frequency is kept constant at 5 GHz.Keywords
Brain Stroke, Dipole Array Antenna, Microwave, Beamwidth, Field Pattern, Complex Permittivity.
References
- S. Y. Semenov and D. R. Corfield, “Microwave Tomography for Brain Imaging: Feasibility Assessment for Stroke Detection,” International Journal of Antennas and Propagation, vol. 2008, Article ID254830,2008.
- R. Scapaticci, L. Di Donato, I. Catapano, and L. Crocco, “A feasibility study on microwave imaging f o r brain stroke monitoring,” Progress In Electromagnetics Research B, Vol.40, 305-324, 2012.
- S. Semenov, “Microwave tomography: review of the progress towards clinical applications,” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 367, issue 1900, pp. 3021-3042, 2009.
- A.N. Datta& B. Bandyopadhyay, “ An Improved SIRTStyle Reconstruction Algorithm for Microwave
- VOL. Tomography” IEEE Transactions on Biomedical Engineering, BME-32, NO. 9, September 1985, pp.
- -723.
- S. Y. Semenov and D. R. Corfield, “Microwave Tomography for Brain Imaging: Feasibility Assessment for Stroke Detection,” International Journal of Antennas and Propagation, vol. 2008, Article ID 254830, 2008.
- E.Bilgin, A. Yapar, A.Aygun, I.Akduman, “Analysis of Matching Media Effect on Microwave Brain Stroke Imaging via a Spherically Symmetrical Head Model,” Czech Republic, July 6-9, 2015.
- K. Purkait& S. Mandal, “Multiview Microwave Tomography of Biological Body”, RTCSP National Conferrance, Electron, Vol-3, March -2011.
- S. MANDAL and K. PURKAIT,”A Modified Exact Reconstruction Algorithm for Microwave Tomography forDetection of Disease in Human Body”. ITJS,Vol – 18,F11,pp-82-92 January, 2011.
- Edward C. Jordan, Keith G. Balmain “ElectromagnetiWaves and Radiating Systems”, Prentics-Hall ElectricalEngineering Series, William L. Everitt Editor, EnglewooCliffs, New Jersey. (P: 317 to 331, & Chapter 11)
- N.Irishina, A. Torrente, “Brain Stroke Detection by Microwaves Using Prior Information from Clinical Databases,” Madrid, Spain, 2013.
- Lange’s Handbook of Chemistry, 10th ed. Section 5, pp- 5.118
- Study on the Effect of Noise in Microwave Tomography
Abstract Views :317 |
PDF Views:3
Authors
Affiliations
1 Department of Electronics and Communication Engineering, Kalyani Government Engineering College, Kalyani, IN
1 Department of Electronics and Communication Engineering, Kalyani Government Engineering College, Kalyani, IN
Source
Indian Science Cruiser, Vol 33, No 3 (2019), Pagination: 15-18Abstract
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.References
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- Edward C. Jordan and Keith G. Balmain, “Electromagnetic Waves and Radiating Systems (Second Edition)”, Prentice Hall Inc. Publications
- K. Purkait, “An Exact Algorithm for Microwave Tomography”, 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 Diagnosis”, IEEE conference Proc. 18th April,2011.
- A.N.Datta and B. Bandyopadhyay, “ An SIRT style reconstruction algorithm for microwave tomography”, IEEE Transaction on Biomedical Engg., Vol.32 pp-719-723,1985.