Imaging 2D Breast Cancer Tumor Margin at Terahertz Frequency using Numerical Field Data based on DDSCAT
Keywords:
Breast cancer, discrete dipole approximation (DDSCAT), Rytov tomography, terahertz imagingAbstract
This work presents tomography of breast cancer tumor margins in the terahertz frequency band. The discrete dipole approximation is employed to calculate the electromagnetic fields scattered from simulated heterogeneous breast tumors. Two-dimensional Comedo with necrotic core and papillary breast tumor patterns are computer-generated for this investigation. The Rytov approximation is applied to terahertz scattered field data calculated at a line of receivers in the far field from the samples. The obtained tomography images demonstrate a potential for terahertz frequency for identifying and assessment of breast cancer tumor margins.
Downloads
References
L. Jacobs, “Positive margins: The challenge continues for breast surgeons,” Ann. Surg. Oncol., vol. 15, no. 5, pp. 1271-1272, May 2008.
J. Brown, T. Bydlon, L. Richards, B. Yu, S. Kennedy, J. Geradts, L. Wilke, M. Junker, J. Gallagher, W. Barry, and N. Ramanujam, “Optical assessment of tumor resection margins in the breast,” IEEE Journal of Selected Topics in Quantum Electronics, vol. 16, no. 3, pp. 530-544, 2010.
P. Ashworth, E. Pickwell-MacPherson, E. Provenzano, S. Pinder, A. Purushotham, M. Pepper, and V. Wallace, “Terahertz pulsed spectroscopy of freshly excised human breast cancer,” Opt. Express., vol. 17, no. 15, pp. 12444- 54, 2009.
A. Fitzgerald, V. Wallace, M. Jimenez-Linan, L. Bobrow, R. Pye. A Purushotham, and D. Amone, “Terahertz pulsed imaging of human breast tumors,” Radiology, vol. 239, no. 2, pp. 533-540, 2006.
M. Brun, F. Formanek, A. Yasuda, M. Sekine, N. Ando, and Y. Eishii, “Terahertz imaging applied to cancer diagnosis,” Phys. Med. Biol., vol. 55, pp. 4615-4623, 2010.
C. Ruiz and J. Simpson, “Cepstral analysis of photonic nanojet-illuminated biological cells,” Applied Computational Electromagnetics Society (ACES) Journal, vol. 27, no. 3, pp. 215-222, March 2012.
A. Hassan, D. Hufnagle, M. El-Shenawee, and G. Pacey, “Terahertz imaging for margin assessment of breast cancer tumors,” Proceedings of 2012 IEEE MTT-S International Microwave Symposium Digest, June 2012.
A. Hassan, D. Hufnagle, G. Pacey, and M. ElShenawee, “Terahertz tomography technique for the assessment of breast cancer tumor margins,” Proceedings of 2012 IEEE Antennas and Propagation Society International Symposium, Chicago, Illinois, July 2012.
T. Bowman, A. Hassan, and M. El-Shenawee, “Terahertz frequency Born and Rytov tomography for breast cancer tumor margins,” 2012 ABI Fall Research Symposium, University of Arkansas, 23 October 2012.
B. Draine and P. Flatau, “Discrete dipole approximation for scattering calculations,” J. Opt. Soc. Am. A, vol. 11, pp. 1491-1499, 1994.
B. Draine, “The discrete dipole approximation and its application to interstellar graphite grains,” J. Astrophys., vol. 333, pp. 848-872, 1998.
B. Draine and P. Flatau, “Discrete-dipole approximation for periodic targets: theory and tests,” J. Opt. Soc. Am. A, vol. 25, pp. 2593-2703, 2008.
P. Flatau and B. Draine, “Fast near-field calculations in the discrete dipole approximation for regular rectilinear grids,” Optics Express, vol. 20, pp. 1247-1252, 2012.
B. Draine and P. Flatau, “User guide to the discrete dipole approximation code DDSCAT 7.1,” http://arxiv.org/abs/1002.1505v1, 2010.
W. Chew, Waves and Fields in Inhomogeneous Media, Chapter 9, pp. 511-570, IEEE Press, 1995.
W. Chew, “Imaging and inverse problems in electromagnetics,” Advances in Computational Electrodynamics: The Finite-Difference TimeDomain Method, ch. 12, A. Taflove, Ed. Norwood, MA: Artech House, 1998.
A. Vouldis, C. Kechribaris, T. Maniatis, K. Nikita, and N. Uzunoglu, “Investigating the enhancement of three-dimensional diffraction tomography by using multiple illumination planes,” Journal of Optical Society of America, vol. 22, no. 7, pp. 1251-1262, July 2005.
G. Dunlop, W. Boerner, and R. Bates, “On an extended Rytov approximation and its comparison with the Born approximation,” Proc. of Antennas and Propagation Society International Symposium, vol. 14, pp 587-591, Oct. 1976.
A. Vouldis, C. Kechribaris, T. Maniatis, K. Nikita, and N. Uzunoglu, “Three-dimensional diffraction tomography using filtered back propagation and multiple illumination planes,” IEEE Transactions on Instrumentation and Measurement, vol. 55, no. 6, pp. 1975-1984, Dec. 2006.
S. Ferreira Jr., M. Martins, and M. Vilela, “Reaction-diffusion model for the growth of avascular tumor,” Physical Review E, vol. 65, no. 2, pp. 021907-1 021907-8, 2002.
A. Hassan and M. El-Shenawee, “Biopotential signals of breast cancer versus tumor types and proliferation stages,” Physical Review E, vol. 85, no. 2, pp. 021913, 2012.
J. Parsons, C. Burrows, J. Sambles, and W. Barnes, “A comparison of techniques used to simulate the scattering of electromagnetic radiation by metallic nanostructures,” Journal of Modern Optics, vol. 57, no. 5, pp. 356-365, 2010.
R. Dahlbäck, T. Rubæk, M. Persson, and J. Stake, “A system for THz imaging of low-contrast targets using the Born approximation,” IEEE Transactions on THz Science and Technology, vol. 2, no. 3, pp. 361-370, 2012.
M. Hajihashemi, Inverse Scattering Level Set Algorithm for Retrieving the Shape and Location of Multiple Targets, Ph.D. dissertation, University of Arkansas, Fayetteville, AR, 2010.
L. Crocco, I. Catapano, L. Donato, and T. Isernia, “The linear sampling method as a way to quantitative inverse scattering,” IEEE Trans. Antenn. Propag. vol. 60, no. 4, April 2012.
I. Catapano, L. Crocco, L. Donato, and T. Isernia, “Advances in inverse scattering arising from the physical meaning of the linear sampling method,” Proc. of IEEE 6th European Conference on Antennas and Propogation (EUCAP), pp. 3210- 3214, 2001.
