TY - GEN
T1 - A Novel Biomedical Imaging with Inhomogeneous Background using Levenberg-Marquardt Algorithm
AU - Chu, Yanqing
AU - Xu, Kuiwen
AU - Ye, Xiuzhu
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/3
Y1 - 2019/3
N2 - In this paper, a novel solution for microwave biomedical imaging is proposed to reconstruct the unknown targets embedded in an inhomogeneous background medium, i.e., skin, muscle and tissue fluid. Inhomogeneous background around bounded in the domain is considered to be known scatterers and closed-form Green's function is used, which greatly reduces the time to calculate the inhomogeneous background Green's function. In the frame of the difference integral equation methods, i.e., difference Lippmann-Schwinger integral equation (D-LSIE), a new method combined Levenberg Marquardt (LM) algorithm and iterative updated background method (IUBM) is proposed. Especially, the generalized cross-validation (GCV) regularization technique is used to adaptively select the regularization parameters in the inversion. The synthetic tests illustrate the efficacy of the new inversion method.
AB - In this paper, a novel solution for microwave biomedical imaging is proposed to reconstruct the unknown targets embedded in an inhomogeneous background medium, i.e., skin, muscle and tissue fluid. Inhomogeneous background around bounded in the domain is considered to be known scatterers and closed-form Green's function is used, which greatly reduces the time to calculate the inhomogeneous background Green's function. In the frame of the difference integral equation methods, i.e., difference Lippmann-Schwinger integral equation (D-LSIE), a new method combined Levenberg Marquardt (LM) algorithm and iterative updated background method (IUBM) is proposed. Especially, the generalized cross-validation (GCV) regularization technique is used to adaptively select the regularization parameters in the inversion. The synthetic tests illustrate the efficacy of the new inversion method.
KW - Levenberg Marquardt (LM) algorithm
KW - biomedical imaging
KW - difference Lippmann Schwinger integral equation (D-LSIE)
KW - generalized cross-validation (GCV)
KW - inhomogeneous background medium
UR - https://www.scopus.com/pages/publications/85070527848
U2 - 10.1109/COMPEM.2019.8779172
DO - 10.1109/COMPEM.2019.8779172
M3 - Conference contribution
AN - SCOPUS:85070527848
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 -