Experimental Results for a Novel MicrowaveRadiator Structure Targeting Non-invasive Breast Cancer Detection

Arezoo Modiri, Kamran KiasalehUniversity of Texas at Dallas

This Study’s Goal

Portable, Self-Examine Tool which compensates for the defects of mammography by making check ups easier and more affordable for women and sending them to X-ray or MRI monitoring only when a signature is detected.

A preliminary prototype was built and tested– The design/simulation part of the project was done in Ansoft HFSS

and the implementation and test parts were done through collaborations among electrical engineering, mechanical engineering and biology departments inside UTD.

Experimental Study Based on Simulation Analysis

The following equations were calculated for a variety of tumors with different shapes placed at different locations.

Adding a conductive (reflector)

cover enhances the signatures

in most tumor cases.

Radiator Fabrication

4

Dimension elite 3D printerMechanical Eng. Department

HFSS Model Solid Works Model 3D Printing

Creating Breast Phantom

This phase of our study was done in biology lab using one of the best recipes in the literature for microwave breast phantom created by Dr. Noghanian’s group in the University of North Dakota.

We had two trials and for each trial two breast phantoms were built, one of which had a donated breast tumor inside it. The tumor was placed inside the glandular

tissue at the depth of almost 4cm.

The cancer tissue was donated to us by a patient.

During the experiment, the phantom and the radiator were resting on a bag of ice and water.

Signatures Acquired in Measurement

A common Network Analyzer was used for measurements & the measured data was analyzed in MATLAB to extract the cancer signatures out of phase and magnitude differences

between the scattering parameters of the normal and cancerous tissues.

The Resonance Performance of the Antennas

The resonance frequency is slightly shifted from that of simulation.

Adding up The Signatures Achieved Over Frequency Range of Study

Cumulative Signatures Over 0.4-2.6GHz

As it is clear from the slope of the amplitude curves, 1-1.5GHz has the highest signature.

Phase signatures are more difficult to interpret and need more study.

Conclusion

The measurements were taken over the frequency band of 0.4GHz- 2.5GHz and the signatures were studied for single-frequency and multi-frequency

scenarios. The results show that the tool detects the existence of a tumor successfully in both scenarios.

More Needs to Be Done

More accurate simulation body models – Natural changes in tissue

Designing the complete measurement unit– A detection device that is easily readable not only by a physician, but

also by the user herself

– Miniaturization

Optimization of the radiation power and exposure duration

Wearable design

Human Subject Tests

Any Questions?Arezoo.modiri@utsouthwestern.edu

Thank you!