Open Access   Article Go Back

Two Dimensional Finite Difference Time Domain Tool for Cancer Detection on Scilab

Shelendra Pal1 , Rajkumar 2 , Vipul Sharma3

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-9 , Page no. 844-850, Sep-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i9.844850

Online published on Sep 30, 2018

Copyright © Shelendra Pal, Rajkumar, Vipul Sharma . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Shelendra Pal, Rajkumar, Vipul Sharma, “Two Dimensional Finite Difference Time Domain Tool for Cancer Detection on Scilab,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.9, pp.844-850, 2018.

MLA Style Citation: Shelendra Pal, Rajkumar, Vipul Sharma "Two Dimensional Finite Difference Time Domain Tool for Cancer Detection on Scilab." International Journal of Computer Sciences and Engineering 6.9 (2018): 844-850.

APA Style Citation: Shelendra Pal, Rajkumar, Vipul Sharma, (2018). Two Dimensional Finite Difference Time Domain Tool for Cancer Detection on Scilab. International Journal of Computer Sciences and Engineering, 6(9), 844-850.

BibTex Style Citation:
@article{Pal_2018,
author = {Shelendra Pal, Rajkumar, Vipul Sharma},
title = {Two Dimensional Finite Difference Time Domain Tool for Cancer Detection on Scilab},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2018},
volume = {6},
Issue = {9},
month = {9},
year = {2018},
issn = {2347-2693},
pages = {844-850},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2954},
doi = {https://doi.org/10.26438/ijcse/v6i9.844850}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i9.844850}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2954
TI - Two Dimensional Finite Difference Time Domain Tool for Cancer Detection on Scilab
T2 - International Journal of Computer Sciences and Engineering
AU - Shelendra Pal, Rajkumar, Vipul Sharma
PY - 2018
DA - 2018/09/30
PB - IJCSE, Indore, INDIA
SP - 844-850
IS - 9
VL - 6
SN - 2347-2693
ER -

VIEWS PDF XML
584 367 downloads 250 downloads
  
  
           

Abstract

Cancer is the world’s most proliferating and dangerous disease. Due to lack of proper knowledge of cancer, it is spreading among the people and a large number of people are dying from cancers such as lung, blood, breast, palm, liver, stomach, colorectal, prostate, bladder, pancreatic cancer etc. There were an estimated 14.1 million cancer cases around the world in 2012 and out of these 7.4 million and 6.7 million cases were in men and women respectively [21,22,23]. Cancer cells continue to increase new abnormal cells, many cellular changes have been reported to be associated with malignant process till date. For cancer detection a versatile method such as finite difference time domain is very frequently used in this era. In this paper we propose a two-dimensional finite difference time domain (FDTD) numerical simulation technique using Scilab, for early detection of cancer tissue, early phase can provide more treatment options, less invasive surgery and increases the survival rate.

Key-Words / Index Term

Finite Difference Time domain (FDTD), Cancer detection, Ultra wide Band, Scilab

References

[1] M. O’Halloran, R. Concepcion, M. Glavin, and E. Jones “FDTD modeling of the Breast: A review” PIER Vol. 18,
pp.1-24,2009
[2] S. S Chaudhary, R. K. Mishra, A. Swarup and J. Thomas, ”Dielectric properties of normal and malignant human breast tissues at radio wave and microwave frequencies,” Indian J. Biochem Biophy. vol.21,pp. 76-79,1984
[3] Hagness, S. C., A. Taflove, and J. E. Bridges, “Three-dimensional FDTD analysis of a pulsed microwave confocal system for breast cancer detection: Design of an antenna array element,” IEEE
[4] G. Mur, “Absorbing boundary conditions for the finite difference approximation of the time-domain electromagnetic-field equations”, IEEE Trans. On Electromagnetic Compatibility, EMC-23(4), 1981.
[5] Inkyu Park, “Finite DifferenceFDTD Technique,
http://www.pas.rochester.edu/~icpark/Vinos/whatisfdtd.html”. Accessed August 2018
[6] K. S. Yee, “Numerical solution of initial boundary value problems involving Maxwell’s equations in isotropic media”, IEEE Trans. Antennas Propagat. AP- 14,pp. 302-307, 1966.
[7] A. Taflove, “Computational Electrodynamics: The Finite-Difference Time-Domain Method, 3rd Edition”, Boston, MA: Artech House, 1995
[8] Chu S. T and Chaudhuri S. K (1995) “FDTD method for optical waveguide analysis”, Progress in electromagnetic research, PIER 11,Hung Loui , 1D-FDTD using MATLAB, Student Member, IEEE ,pp. 255-300,2004
[9] A. Taflove and M. Brodwin, “Numerical solution of steady state electromagnetic scattering problems using the time-dependent Maxwell’s equations”, IEEE Trans. Microw. Theor. Tech., vol. 23, pp. 623–730, 1975
[10] A. J. Surowiec et al. “Dielectric properties of breast carcinoma and the surrounding tissues”, IEEE Trans. Biomed. Eng. Vol. BME-35, pp 257-263,1998
[11] D. M. Hagl, D. popovic, S. C. Hagness, J. H. Booske and M. Okoniewski, “Sensing volume of open-ended coaxial probe for dielectric characterization of breast tissues at microwave frequencies,” IEEE Trans. Micro. Theory tech. vol.51, no.4, pp.1194-1206, 2003.
[12] T Datta, I.S. Misra, B. B. Mangraj, S. Imtiaj, “Improved Adaptive Bacteria Foraging Algorithm in Optimization of Antenna Array for Faster Convergence”, PIER C, Vol. 1,
pp. 143-157,2008
[13] Vipul Sharma, S.S. Pattnaik, S. Devi, Nitin “A metamaterial inspired miniaturized pi shaped high gain antenna for skin cancer detection” Scientific research and Essays Vol. 6(30),
pp. 6346-6349,2011
[14] Vipul Sharma, S.S. Pattnaik, “Microwaves, Metamatetrial and Skin Cancer Detection” LAP LAMBERT Academic Publishing Germany, Jan 2014
[15] Shelendra Pal, Vipul Sharma, Raj Kumar, Shyam Kamal, “Using Finite Difference Time Domain for Cancer Detection: A Selective Review” International Journal of Sensors, Wireless Communications and control Volume 6 (2), ISSN: 2210-3287 (Online) ISSN: 2210-3279 (Print), 2016
[16] Shelendra Pal, Vipul Sharma, Raj Kumar “Cancer Detection in Human Beings Based Artificial Neural Network” National Conference on Science & Technology for Human Development" organized by ISCA: Haridwar, 2016
[17] Sharmistha Sharma, Subhadeep Bhattacharjee, Aniruddha Bhattacharya “Operation cost minimization of a micro Grid using Quasi-Opppsitional Swine Influenza Model Based Optimization with Quarantine” Ain Shams Eng J , 2015
[18] Seyyed M. Hesabgar, Ali Sadeghi-Naini, Gregory Czarnota, Abbas Samani “Dielectric properties of normal and malignant breast tissue in xenagraft mice at low frequencyies (100Hz-1 MHz)”,Elsevier Ltd Vol-105, pp.56-65, 2017
[19] Rathod, V., Shaikh, U., Yadav, O. P., Rathore, A. “Swine Influenza Model Based Optimization using seasonal flu shots (SIMBO-SS)” Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), 4th International Conference Noida , 2015
[20] Finite Difference Time Domain Method http://en.wikipedia.org/wiki/Finite-difference_time-domain_metho[ last accesses in August 2017]
[21] “Cancer facts and figures 2014” American Cancer Society, 2014. Available from: http://www.cancer.org/research/cancerfactsstatistics/cancerfactsfigures2014/ , 2014
[22] “Cancer history and feature issues”Available from: http://ncbi.nlm.nih.gov/pmc/articles/PMC2927383.
[ last accesses in August 2017]
[23] Rebecca Siegel, Jiemin Ma, Zhaohui Zou, Ahmedin Jemal. Cancer Statistics, 2014. CA: A Cancer Journal for Clinicians, DOI: 10.3322/caac.21208, 2014