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Microwave 3D Imaging System Featuring the Phase Coherence Factor for Improved Beamforming
Rasammal Rasappan1, Nik Syarim Nik Anwar2, Tareq Faisal Zanoon3
1School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia, 14300 Nibong Tebal, Pulau Pinang, Malaysia.
This study introduces an advanced radar imaging system for breast cancer detection using ultrawideband antennae and a novel phase coherence factor (PCF) algorithm. The system effectively detects small tumors, outperforming existing methods and paving the way for clinical trials.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Electromagnetics
Background:
- Radar-based imaging offers a non-ionizing alternative for breast cancer detection.
- Ultrawideband (UWB) antennae provide high resolution for imaging applications.
- Conventional beamforming algorithms struggle with noise and interference in complex media.
Purpose of the Study:
- To develop and validate an improved radar imaging system for enhanced breast cancer detection.
- To incorporate a phase coherence factor (PCF) into the delay and sum (DAS) beamforming algorithm.
- To suppress noise and improve the signal-to-clutter ratio in radar breast imaging.
Main Methods:
- A 32-element ultrawideband antenna array (p-slot) was utilized in a hemispherical breast radome.
- A novel reconstruction algorithm combined phase coherence factor (PCF) with delay and sum (DAS) beamforming.
- The system was tested using 3D breast models with varying tissue compositions and simulated tumors.
Main Results:
- The PCF-weighted DAS algorithm accurately detected 5 mm tumors in dense breast models.
- Achieved an average signal-to-clutter ratio of 7.0 dB and a full-width half-maximum of 2.3 mm.
- Demonstrated superior performance compared to other beamforming techniques, even at low contrast ratios (1:2).
Conclusions:
- The proposed PCF-weighted DAS algorithm represents a significant advancement in radar breast imaging.
- This improved system shows high potential for accurate and sensitive tumor detection.
- The findings support progression towards clinical trials for human subjects.
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