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This paper presents a new 2D holographic microwave imaging array (HMIA) technique for medical imaging applications. The HMIA technique has been applied to early stage breast cancer detection and brain stroke detection. Computer models are developed to demonstrate the feasibility of detecting and localizing small brain strokes within a 2D numerical head model and breast tumours within a 3D numerical breast model using the HMIA technique. Experimental validation of the HMIA simulation model using a breast phantom has been undertaken and demonstrated a good agreement between experimental and simulated images. Simulation and experimental results showed that the proposed HMIA technique has the potential to become a powerful medical screening and diagnostic tool.

Due to the critical need for complementary or alternative modalities to current X-ray mammography for early-stage breast cancer detection, a 3D holographic microwave imaging array (HMIA) system has been developed. This work describes how 3D images can be reconstructed from the 3D breast intensity distribution using holographic microwave and aperture synthesis imaging techniques. The obtained 3D simulation results have demonstrated the feasibility and superiority of detecting small malignant breast tumours using the proposed random antenna array. Simulation results demonstrate that the proposed technique has the potential to detect tumours of various sizes at various locations.

This paper proposes a new holographic microwave imaging array (HMIA) technique for brain stroke detection. This approach is based on holographic microwave and aperture synthesis imaging techniques. The system is designed for operation at a single frequency of 2.5 GHz. A realistic three dimensional (3D) head model that contains skin, fat, skull, cerebrospinal fluid (CSF), grey matter, white matter and ischemic or hemorrhagic stroke area is developed using MATLAB to demonstrate the proposed HMIA imaging algorithm. A matching solution medium is used between the antennas and the head model. The study is conducted using HMIA computer simulations and 3D head model withstroke.The simulation results showed that small stroke area (5 mm in diameter) could be successfully detected with the HMIA approach.