Research Article

Implementation of the Hybrid ADI-FDTD Scheme to Maxwell Equation for Mathematical Modeling of Breast Tumor

Volume: 6 Number: 3 December 21, 2023
EN

Implementation of the Hybrid ADI-FDTD Scheme to Maxwell Equation for Mathematical Modeling of Breast Tumor

Abstract

Breast cancer is the most common cancer in women, and non-destructive detection of the tumor is vital. The interaction of electromagnetic waves with breast tissue and the behavior of waves after interaction are used to model tumor detection mathematically. The behavior of electromagnetic waves in a medium is described using Maxwell's equations. Electromagnetic waves propagate according to the electrical properties of a medium. Since the electrical properties of tumor tissue are different from those of normal breast tissue, it is assumed that the tumor is a lossy dielectric sphere, and the breast is a lossy dielectric medium. Under this assumption, Maxwell's equations are used to calculate the scattered field from the tumor. The field scattered by the tumor is different from other tissues because their dielectric properties are different. The location and size of the tumor can be determined by utilizing the difference in scattering from the tissues. While the scattering field from the tumor in spherical geometric form is analytically calculated, it is not analytically possible to calculate the scattering field from the tumor in different geometric shapes. In addition to non-destructive detection of the tumor, an efficient numerical method, the finite difference time domain method (FDTD), is used to simulate the field distribution. After the location of the tumor is determined, the Alternating Direction Implicit (ADI) FDTD method, which gives simulation results by dividing the computation domain into smaller sub-intervals, can be used. Scattered fields are calculated analytically in the geometry where the tumor is in the form of a smooth sphere, and in more complex geometry, the field distributions are successfully obtained with the help of MATLAB using FDTD and ADI-FDTD algorithms.

Keywords

ADI-FDTD, Breast tumor, FDTD, Mathematical modeling, Maxwell equations, Scattered field

References

  1. [1] F. Bray, M. Laversanne, E. Weiderpass, I. Soerjomataram, The ever-increasing importance of cancer as a leading cause of premature death worldwide, Cancer, 127 (16) (2021), 3029-3030.
  2. [2] W. Organization, Global Health Estimates 2019: deaths by cause, age, sex, by country and by region 2000–2019, WHO, (2020).
  3. [3] H. Sung, J. Ferlay, R. Siegel, M. Laversanne, I. Soerjomataram, A. Jemal, F. Bray, Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries, CA: A Can. J. Clinc., 71 (3) (2021), 209-249 .
  4. [4] M. Lu, X. Xiao, G. Liu, H. Lu, Microwave breast tumor localization using wavelet feature extraction and genetic algorithm-neural network, Med. Phys., 48 (10) (2021), 6080-6093.
  5. [5] E. Bond, X. Li, S. Hagness, B. Van Veen, Microwave imaging via space-time beamforming for early detection of breast cancer, IEEE Trans. Anten. Prop., 51 (8) (2003), 1690-1705.
  6. [6] M. Lazebnik, M. Okoniewski, J. Booske, S. Hagness, Highly accurate Debye models for normal and malignant breast tissue dielectric properties at microwave frequencies, IEEE Mic. Wirel. Comp. Lett., 17 (12) (2007), 822-824.
  7. [7] N. Nikolova, Microwave imaging for breast cancer, IEEE Mic. Mag., 12 (7) (2011), 78-94.
  8. [8] R. Conceicao, J. Mohr, M. OHalloran, (Eds.), An Introduction to Microwave Imaging for Breast Cancer Detection, Basel, Switzerland, Springer International Publishing, 2016.
  9. [9] S. Kwon, S. Lee, Recent advances in microwave imaging for breast cancer detection, Internat. J. Biomed. Imaging, (2016), 1-26.
  10. [10] S. Davis, B. Van Veen, S. Hagness, F Kelcz, Breast tumor characterization based on ultrawideband microwave backscatter, IEEE Trans. Biomed. Engrg., 55 (1) (2007), 237-246.
APA
Şahin Şener, Ü. (2023). Implementation of the Hybrid ADI-FDTD Scheme to Maxwell Equation for Mathematical Modeling of Breast Tumor. Journal of Mathematical Sciences and Modelling, 6(3), 105-119. https://doi.org/10.33187/jmsm.1126660
AMA
1.Şahin Şener Ü. Implementation of the Hybrid ADI-FDTD Scheme to Maxwell Equation for Mathematical Modeling of Breast Tumor. Journal of Mathematical Sciences and Modelling. 2023;6(3):105-119. doi:10.33187/jmsm.1126660
Chicago
Şahin Şener, Ümmü. 2023. “Implementation of the Hybrid ADI-FDTD Scheme to Maxwell Equation for Mathematical Modeling of Breast Tumor”. Journal of Mathematical Sciences and Modelling 6 (3): 105-19. https://doi.org/10.33187/jmsm.1126660.
EndNote
Şahin Şener Ü (December 1, 2023) Implementation of the Hybrid ADI-FDTD Scheme to Maxwell Equation for Mathematical Modeling of Breast Tumor. Journal of Mathematical Sciences and Modelling 6 3 105–119.
IEEE
[1]Ü. Şahin Şener, “Implementation of the Hybrid ADI-FDTD Scheme to Maxwell Equation for Mathematical Modeling of Breast Tumor”, Journal of Mathematical Sciences and Modelling, vol. 6, no. 3, pp. 105–119, Dec. 2023, doi: 10.33187/jmsm.1126660.
ISNAD
Şahin Şener, Ümmü. “Implementation of the Hybrid ADI-FDTD Scheme to Maxwell Equation for Mathematical Modeling of Breast Tumor”. Journal of Mathematical Sciences and Modelling 6/3 (December 1, 2023): 105-119. https://doi.org/10.33187/jmsm.1126660.
JAMA
1.Şahin Şener Ü. Implementation of the Hybrid ADI-FDTD Scheme to Maxwell Equation for Mathematical Modeling of Breast Tumor. Journal of Mathematical Sciences and Modelling. 2023;6:105–119.
MLA
Şahin Şener, Ümmü. “Implementation of the Hybrid ADI-FDTD Scheme to Maxwell Equation for Mathematical Modeling of Breast Tumor”. Journal of Mathematical Sciences and Modelling, vol. 6, no. 3, Dec. 2023, pp. 105-19, doi:10.33187/jmsm.1126660.
Vancouver
1.Ümmü Şahin Şener. Implementation of the Hybrid ADI-FDTD Scheme to Maxwell Equation for Mathematical Modeling of Breast Tumor. Journal of Mathematical Sciences and Modelling. 2023 Dec. 1;6(3):105-19. doi:10.33187/jmsm.1126660