Earticle

초록

영어

Brain tumour is the largest problem in the world. Few researchers have worked in that area. In the paper brain tumour is detected by the three different parameter of the proposed antenna namely return-loss of the antenna, current density of the brain phantom model with tumour and without tumour and specific absorption rate (SAR) with and without tumour. None of the previous work detects a tumour by three different parameter simultaneously. Initially the proposed antenna is designed at 2.45GHz and then applies different technology to make it ultra wide band. Antenna frequency is shifted and it become the ultra wide band and gives a bandwidth of 2.89GHz.S11 parameter of antenna achieved maximum at 7.624GHz that is 45.76dB. Found current density of the antenna is 770.6A/m2, SAR of the antenna is 2.67*106Watt/m3.Brain is assumed as a single layer Brain Phantom model in which brain is considered as centre radius of sphere of 10mm radius and placed in contact with upper part of the antenna, dielectric constant of brain is assumed as 45.8.it gives a return loss with brain model is 31.89dB at 7.61GHz and current density is 801.24A/m2, SAR of the brain phantom model with antenna is 3.15*106 Watt/m3.Now triangular shape tumor is assumed with dielectric constant of the tumor is 52.06 and it gives a return loss with tumor 32.26 at 7.544GHz.current density with tumor is 960.3A/m2, SAR of the phantom model with tumor and antenna is 3.069*106A/m2.The paper detect tumors by three different parameter simultaneously that is very important aspect.

목차

Abstract
 1. Introduction
 2. Antenna Design & Simulation Results
 3. Results and Discussion
 References

키워드

저자

• Hemant Kumar Gupta [ Dept of ECE, ASET, Amity University Madhya-Pradesh, Gwalior, M.P., INDIA ]
• Vikas Maheshwari [ Dept of ECE, ASET, Amity University Madhya-Pradesh, Gwalior, M.P., INDIA ]
• Vandana Vikas Thakery [ Dept. of ECE, Madhav Institute of Technology & Science, Gwalior, M.P., INDIA ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605