Multi-frequency Integration Algorithm of Contrast Source Inversion Method for Microwave Breast Tumor Detection^.

Area of Science:

• Medical Imaging
• Electromagnetics
• Biomedical Engineering

Background:

• Microwave mammography offers a promising alternative to X-ray-based breast cancer detection.
• Accurate reconstruction of complex permittivity is crucial for microwave mammography success.
• Conventional contrast source inversion (CSI) methods assume non-dispersive dielectric models, which is inaccurate for human tissues.

Purpose of the Study:

• To develop an extended CSI method capable of handling dispersive dielectric properties of biological tissues.
• To enhance the accuracy of microwave mammography by incorporating multi-frequency information.
• To validate the proposed method using realistic breast phantoms.

Main Methods:

• An extended contrast source inversion (CSI) algorithm was developed to account for dispersive media.
• Multi-frequency integration was introduced to improve reconstruction accuracy.
• Finite difference time domain (FDTD) numerical simulations were performed using a realistic MRI-derived breast phantom.

Main Results:

• The proposed extended CSI method demonstrated enhanced reconstruction accuracy in dispersive media.
• The integration of multi-frequency data significantly improved the ability to model tissue dielectric properties.
• Numerical tests confirmed the method's efficiency and effectiveness on a realistic breast phantom.

Conclusions:

• The developed extended CSI method is suitable for microwave mammography in dispersive biological tissues.
• Multi-frequency integration is a key factor in improving the accuracy of permittivity reconstruction.
• This advancement holds significant potential for more precise breast cancer detection using microwave imaging.