Digital imaging reconstruction from multiple angle diversity using digital filtering technique

Microwave diffraction tomography is a process to infer the internal structure of an object from multiple angle views of microwave diffraction shadow. Being sensitive to variations in refractiveindex of the object, the procedure can be used to measure permittivity distributions within dielectricobjects and to image soft tissues for biomedical applications. The optimal resolution distance obtainableis half a wavelength, but this can rarely be achieved because of practical limitations. Some procedures, however, are available to improve the practical resolution. One, which is suitable formicrowave tomography, is to use multiple angle views data and to combine the resulting images. Theother, which is suitable for improving the image reconstruction resolution, is to use the digital filtering technique and the filtered backpropagation algorithm. A system operatingover the X-bandmicrowave frequency is described and some experimental results for objects in air are given.