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Algorithm Study for Diagnosis the Breast Cancer Using LMA and FDTD

LMA와 FDTD를 이용한 유방암 진단용 알고리즘 연구

  • Seo, Min-Gyeong (Department of Radio Science and Engineering, Chungnam National University) ;
  • Kim, Tae-Hong (ElectroMagnetic Environment Research Certer in Chungnam National University) ;
  • Mun, Ji-Yeon (Department of Radio Science and Engineering, Chungnam National University) ;
  • Jeon, Soon-Ik (Electronics and Telecommunications Research Institute) ;
  • Pack, Jeong-Ki (Department of Radio Science and Engineering, Chungnam National University)
  • Published : 2011.12.31

Abstract

In this paper, image reconstruction algorithm for breast cancer detection using MT(Microwave Tomography) was investigated. The breast cancer detection system under development uses 16 transmit/receive antennas. The signal waveform was a sinusoidal wave at 900 MHz. To solve the 2D inverse scattering problem, we used the 2D FDTD (Finite Difference Time Domain) method for forward calculation and LMA(Levenberg-Marquardt Algorithm) for optimization. The result of the image reconstruction using the numerical phantom by MRI(Magnetic Resonance Imaging) obtained from real patient of breast cancer showed that we can detect the position of the tumor accurately.

본 논문에서는 MT(Microwave Tomography)를 사용한 유방암 진단용 영상 재구성 알고리즘에 관하여 연구하였다. 사용된 유방암 진단용 시스템은 16개의 송수신 안테나로 구성되어 있으며, 신호 파형은 900 MHz 정현파를 사용하였다. 2차원 역산란 문제를 풀기 위하여 포워드 계산 방법으로 2차원 시간 영역 유한 차분법과 최척화 알고리즘으로 LMA(Levenberg-Marquardt Algorithm)를 이용하였다. 실제 유방암 환자의 MRI(Magnetic Resonance Imaging)로부터 얻은 수치 팬텀을 활용하여 영상 복원을 한 결과 유방암의 위치를 정확히 탐지함을 확인하였다.

Keywords

References

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