Microstrip back-cavity Hilbert Fractal Antenna for experimental detection of breast tumors

This paper presents a miniaturized microstrip back-cavity Hilbert Fractal Antenna specifically designed for breast cancer detection. This antenna is used to investigate on the possibility of detecting the presence of breast tumors by directly measuring the shift of the antenna resonance frequency. First, simulations are performed on a multi-layer breast model; then the proposed approach was applied for in vivo measurements on two different patients diagnosed with breast cancer, followed by ex vivo characterization of the electrical properties of excised tumors.

[1]  Zhongyi Huang,et al.  A Miniature Antenna for 2.45 GHz RFID Tag , 2014, J. Comput..

[2]  S. S. Chaudhary,et al.  Dielectric properties of normal & malignant human breast tissues at radiowave & microwave frequencies. , 1984, Indian journal of biochemistry & biophysics.

[3]  Stuchly,et al.  Dielectric properties of breast carcinoma and the surrounding tissues , 1988, IEEE Transactions on Biomedical Engineering.

[4]  K. Hamamoto,et al.  A Basic Investigation of Cancerous Breast Microwave Ablation Using Opened-tip Applicator and Ex Vivo Experiment , 2012 .

[5]  Sabira Khatun,et al.  UWB imaging for breast cancer detection using neural network. , 2009 .

[6]  W. Joines,et al.  The measured electrical properties of normal and malignant human tissues from 50 to 900 MHz. , 1994, Medical physics.

[7]  M. Leach,et al.  Early Stage Breast Cancer Detection using Indirect Microwave Holography , 2006, 2006 European Microwave Conference.

[8]  J. Stang.  A 3D active microwave imaging system for breast cancer screening , 2008 .

[9]  A. S. Mohan,et al.  Breast cancer localization in three dimensions using time reversal DORT method , 2012, 2012 International Symposium on Antennas and Propagation (ISAP).

[10]  Barry D. Van Veen,et al.  Development of Anatomically Realistic Numerical Breast Phantoms With Accurate Dielectric Properties for Modeling Microwave Interactions With the Human Breast , 2008, IEEE Transactions on Biomedical Engineering.

[11]  Amir Asif,et al.  Breast cancer detection using time reversal signal processing , 2009, 2009 IEEE 13th International Multitopic Conference.

[12]  Ananda Sanagavarapu Mohan,et al.  Breast cancer detection in highly dense numerical breast phantoms using time reversal , 2013, 2013 International Conference on Electromagnetics in Advanced Applications (ICEAA).