Tissue mimicking materials for breast phantoms using waste oil hardeners

Realistic breast phantoms are often required for supporting the development of microwave and mm-wave imaging systems for breast cancer detection. A number of phantoms have been proposed in the literature, but they are often realized using non-common or toxic materials, and characterized only for the microwave regime. Recently, mm-waves have been also proposed for screening purposes, especially for breast with a high fat content, to provide the resolution vital to detect early-stage cancer masses. Consequently, we proposed several recipes that can be used to create tissue-mimicking materials able to reflect the dielectric properties of different human breast tissues, from fat to neoplastic tissues. In this paper, we present new recipes specifically conceived to mimic up to 50 GHz the dielectric properties of very fat tissues, difficult to achieve otherwise. The involved materials are deionized water, sunflower oil, waste-oil hardener, and two different surfactants (lecithin and Polysorbate 80), all very cheap, easy-to-manage, not-toxic and common materials.

[1]  Maurizio Bozzi,et al.  0.5-50 GHz dielectric characterisation of breast cancer tissues , 2015 .

[2]  G. Matrone,et al.  Realization of breast tissue-mimicking phantom materials: dielectric characterization in the 0.5-50 GHz frequency range , 2018, 2018 IEEE International Microwave Biomedical Conference (IMBioC).

[3]  Paul M. Meaney,et al.  Fast 3-D Tomographic Microwave Imaging for Breast Cancer Detection , 2012, IEEE Transactions on Medical Imaging.

[4]  Leslie A. Rusch,et al.  Flexible 16 Antenna Array for Microwave Breast Cancer Detection , 2015, IEEE Transactions on Biomedical Engineering.

[5]  Rozi Mahmud,et al.  A UWB imaging system to detect early breast cancer in heterogeneous breast phantom , 2011, International Conference on Electrical, Control and Computer Engineering 2011 (InECCE).

[6]  M. Bozzi,et al.  Correlation Between Dielectric Properties and Women Age for Breast Cancer Detection at 30 GHz , 2018, 2018 IEEE International Microwave Biomedical Conference (IMBioC).

[7]  C. Curtis,et al.  Microwave Breast Imaging With a Monostatic Radar-Based System: A Study of Application to Patients , 2013, IEEE Transactions on Microwave Theory and Techniques.

[8]  N. Nikolova Microwave Imaging for Breast Cancer , 2011, IEEE Microwave Magazine.

[9]  Maurizio Bozzi,et al.  Dielectric properties of breast tissues: experimental results up to 50 GHz , 2018 .

[10]  A. Abbosh,et al.  Electro-biomechanical breast phantom for hybrid breast imaging , 2015, 2015 International Symposium on Antennas and Propagation (ISAP).

[11]  Maurizio Bozzi,et al.  Dielectric Properties Characterization From 0.5 to 50 GHz of Breast Cancer Tissues , 2017, IEEE Transactions on Microwave Theory and Techniques.

[12]  Andrea Mazzanti,et al.  On the Feasibility of Breast Cancer Imaging Systems at Millimeter-Waves Frequencies , 2017, IEEE Transactions on Microwave Theory and Techniques.

[13]  E. Madsen,et al.  Tissue-mimicking phantom materials for narrowband and ultrawideband microwave applications , 2005, Physics in medicine and biology.

[14]  Amin Abbosh,et al.  Fabrication and characterization of a heterogeneous breast phantom for testing an ultrawideband microwave imaging system , 2011, Asia-Pacific Microwave Conference 2011.