Classical microwave imaging poses an inverse scattering problem where several microwave transmitters illuminates an object and scattered fields in numerous receiver location are measured. When energy in the microwave, UHF region propagates through a biological body, its phase velocity and absorption coefficient are function of the complex permittivity of the medium. This in turn is a function of tissue type and functional state of the tissue. The high value of dielectric constants of water allows a measure of tissue discrimination on the basis of water content. Therefore, measurement of complex permittivity of an object can be used to characterize certain properties of tissues at microwave frequency which are not performed by other forms of radiation such as x-rays or ultrasounds. The purpose of this work is to develop relevant algorithms for imaging human-size biomedical objects with the aim of reducing computational time in solving a set of extremely large no of ill-posed equations (500-2000) to a value which is acceptable in the practical environment during clinical test.

Dr. Sudip Mandal is working as Assistant Professor of ECE Department, Jalpaiguri Government Engineering College,India. Dr. Kabita Purkait is working as Professor of ECE Department, Kalyani Government Engineering College,India.