An active microwave imaging system for reconstruction of 2-D electrical property distributions

The goal of this work is to develop a microwave-based imaging system for hyperthermia treatment monitoring and assessment. Toward this end, a 4-transmit channel and 4-receive channel hardware device and concomitant image reconstruction algorithm have been realized. The hardware is designed to measure electric fields (i.e., amplitude and phase) at various locations in a phantom tank with and without the presence of various heterogeneities using standard heterodyning principles. Particular attention has been paid to designing a receiver with better than 115 dB of linear dynamic range which is necessary for imaging biological tissue which often has very high conductivity, especially for tissues with high water content. A calibration procedure has been developed to compensate for signal loss due to 3-dimensional radiation in the measured data, since the reconstruction process is only 2-dimensional at the present time. Results are shown which demonstrate the stability and accuracy of the measurement system, the extent to which the forward computational model agrees with the measured field distribution when the electrical properties are known, and image reconstructions of electrically unknown targets of varying diameter. In the latter case, images of both the reactive and resistive component of the electrical property distribution have been recoverable. Quantitative information on object location, size, and electrical properties results when the target is approximately one-half wavelength in size. Images of smaller objects lack the same level of quantitative information, but remain qualitatively correct.<<ETX>>

[1]  C. Chatfield Probability and statistics in engineering and management science , 1973 .

[2]  L. Jofre,et al.  Medical imaging with a microwave tomographic scanner , 1990, IEEE Transactions on Biomedical Engineering.

[3]  M. Skolnik,et al.  Introduction to Radar Systems , 2021, Advances in Adaptive Radar Detection and Range Estimation.

[4]  Paul M. Meaney,et al.  A dual mesh scheme for finite element based reconstruction algorithms , 1995, IEEE Trans. Medical Imaging.

[5]  K. Paulsen,et al.  Memory and operations count scaling of coupled finite-element and boundary-element systems of equations , 1992 .

[6]  Constantine A. Balanis,et al.  Antenna Theory: Analysis and Design , 1982 .

[7]  L. E. Larsen,et al.  Limitations of Imaging with First-Order Diffraction Tomography , 1984 .

[8]  H. Ujiie,et al.  Nomographs for phase centers of conical corrugated and TE 11 mode horns , 1975 .

[9]  James G. Berryman,et al.  Weighted least-squares criteria for electrical impedance tomography , 1992, IEEE Trans. Medical Imaging.

[10]  Samuel Y. Liao,et al.  Microwave Devices and Circuits , 1980 .

[11]  P A Bottomley,et al.  RF magnetic field penetration, phase shift and power dissipation in biological tissue: implications for NMR imaging. , 1978, Physics in medicine and biology.

[12]  L. Jofre,et al.  Cylindrical geometry: a further step in active microwave tomography , 1991 .

[13]  Keith D. Paulsen,et al.  Finite element solution of Maxwell's equations for hyperthermia treatment planning , 1985 .

[14]  A. Narayanan Probability and statistics in engineering and management science , 1972 .

[15]  T P Ryan,et al.  Temperature field estimation using electrical impedance profiling methods. I. Reconstruction algorithm and simulated results. , 1994, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[16]  R. L. Seaman,et al.  In Situ Permittivity of Canine Brain: Regional Variations and Postmortem Changes , 1986 .

[17]  L. E. Larsen,et al.  Medical Applications of Microwave Imaging , 1986 .

[18]  Kam Li,et al.  Capacity and Conductivity of Body Tissues at Ultrahigh Frequencies , 1953, Proceedings of the IRE.

[19]  Lluis Jofre,et al.  Planar and cylindrical active microwave temperature imaging: numerical simulations , 1992, IEEE Trans. Medical Imaging.

[20]  A. W. Guy,et al.  Analyses of Electromagnetic Fields Induced in Biological Tissues by Thermographic Studies on Equivalent Phantom Models , 1971 .

[21]  K. Paulsen,et al.  Two-dimensional hybrid element image reconstruction for TM illumination , 1995 .