TY - GEN
T1 - Reconstruction of Dielectric Pamameters of Human Tissues Using Distorted Born Iterative Method
AU - Liu, Haoxiang
AU - Ye, Xiuzhu
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/3
Y1 - 2019/3
N2 - Bio-medical imaging is a measure to diagnose diseases, such as breast cancer and brain stroke. There are already some mature methods to reconstruct images of human tissues, such as ultrasonic imaging, X-ray imaging and MRI. As human tissues can be regarded as dispersion dielectrics, this article presents the inverse scattering imaging, which can reconstruct the distribution of complex relative permittivity of human tissues. The algorithm used in this article is distorted Born iterative method.
AB - Bio-medical imaging is a measure to diagnose diseases, such as breast cancer and brain stroke. There are already some mature methods to reconstruct images of human tissues, such as ultrasonic imaging, X-ray imaging and MRI. As human tissues can be regarded as dispersion dielectrics, this article presents the inverse scattering imaging, which can reconstruct the distribution of complex relative permittivity of human tissues. The algorithm used in this article is distorted Born iterative method.
KW - DBIM
KW - bio-medical imaging
KW - dispersion dielectric
KW - human tissues
KW - inverse scattering imaging
UR - http://www.scopus.com/inward/record.url?scp=85070529236&partnerID=8YFLogxK
U2 - 10.1109/COMPEM.2019.8778947
DO - 10.1109/COMPEM.2019.8778947
M3 - Conference contribution
AN - SCOPUS:85070529236
T3 - 2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings
BT - 2019 IEEE International Conference on Computational Electromagnetics, ICCEM 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Computational Electromagnetics, ICCEM 2019
Y2 - 20 March 2019 through 22 March 2019
ER -
