Microwave Radiator Structure Targeting Noninvasive Breast Cancer Detection Arezoo Modiri Kamran K iasaleh University of Texas at Dallas This Studys Goal Portable SelfExamine Tool which ID: 599990
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Slide1
Experimental Results for a Novel MicrowaveRadiator Structure Targeting Non-invasive Breast Cancer Detection
Arezoo
Modiri
, Kamran
K
iasaleh
University of Texas at DallasSlide2
This Study’s GoalPortable, 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.Slide3
Experimental Study Based on Simulation AnalysisThe 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.Slide4
Radiator Fabrication4
Dimension elite 3D printer
Mechanical Eng. DepartmentSlide5
Creating Breast PhantomThis 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.Slide6
During the experiment, the phantom and the
radiator were resting on a bag of ice and water.
Signatures Acquired in MeasurementSlide7
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.Slide8
The Resonance Performance of the Antennas
The resonance frequency is slightly shifted from that of simulation.Slide9
Adding up The Signatures Achieved Over Frequency Range of StudySlide10
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.Slide11
Phase signatures are more difficult to interpret and need more study.Slide12
ConclusionThe 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.Slide13
More Needs to Be DoneMore 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 herselfMiniaturization Optimization of the radiation power and exposure duration Wearable designHuman Subject TestsSlide14
Any Questions?Arezoo.modiri@utsouthwestern.edu
Thank you!