Huygens Principle based technique for microwave imaging of objects with inclusions

A novel algorithm for use in a recently established technique for imaging based on ultrawideband (UWB) microwave signals is presented here. The method deals with Huygens Principle (HP), which removes the need to solve inverse problems and, consequently, the need for matrix generation/inversion. In addition to its simplicity, it is shown that HP enables the detection of the extent to which different tissues, or differing conditions of tissues, can be discriminated and render contrast in the final image. Moreover, UWB allows all the information in the frequency domain to be utilized by combining the signals from the individual frequencies to construct a consistent image. It follows that the methodology can identify the presence and location of significant scatterers inside a volume.