Microwave early detection of breast cancers using a virtual-focus scanning method

Area of Science:

• Biomedical Engineering
• Electromagnetics
• Medical Imaging

Background:

• Early detection of breast tumors is crucial for effective treatment.
• Microwave-based detection offers a non-ionizing imaging modality.
• Advanced signal processing is needed to improve detection accuracy.

Purpose of the Study:

• To develop and validate a microwave detection system for identifying tumors in a simplified breast model.
• To assess the efficacy of a virtual-focus scanning method for tumor localization.
• To evaluate the system's capability in detecting small, early-stage tumors.

Main Methods:

• A simplified 2D breast model was used.
• An N-element infinitesimal dipole array was employed for microwave signal transmission and reception.
• A virtual-focus scanning method, utilizing time-shifted scattered fields, was applied.
• The finite difference time domain (FDTD) method was used for simulations.

Main Results:

• The computerized prototype system accurately detected randomly generated tumors in all investigated cases.
• The system demonstrated effectiveness in identifying small tumors, indicative of early developmental stages.
• Signal filtering through time-shifted scattered fields successfully reduced unwanted signals.

Conclusions:

• The virtual-focus scanning method, integrated with a specialized microwave detection system, is a viable approach for accurate tumor detection.
• This technique shows potential for non-invasive, early-stage breast cancer diagnosis.
• Further development could lead to more sophisticated microwave imaging systems for clinical application.