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Traditional imaging systems suffer from drawbacks such as moderate spatial resolution and limited imaging depth, which can result in missed early-stage malignancies and deeper tissue abnormalities. Moreover, their lack of adaptability to diverse clinical needs restricts their broader application. To surmount these challenges, there is a pressing need for next-generation microwave imaging systems characterised by enhanced resolution, greater penetration depth, and adaptable capabilities. These advancements promise to revolutionise early detection and diagnosis in biomedical imaging, addressing critical gaps in current medical diagnostics.
This research proposal introduces a novel approach to Biomedical Imaging through Intelligent Sensor Technology. The project aims to utilize advanced system-level simulation and modeling tools like CST and ADS for comprehensive characterization of Intelligent Antenna Sensors. These sensors will be engineered to possess enhanced radiation properties, thereby improving detection and imaging quality for more accurate cancer diagnosis. The research will also focus on advanced techniques in image reconstruction and signal processing to further refine diagnostic capabilities. Moreover, prototyping and rigorous laboratory testing will be conducted to validate the functionality and effectiveness of the developed system.
Academic qualifications
A first degree (at least a 2.1) ideally in B.Sc. degree with distinction in Electrical engineering, Biomedical engineering, Software Engineering, Mechanical Engineering, Materials Science or Physics with a good fundamental knowledge of Antennas.
English language requirement
IELTS score must be at least 6.5 (with not less than 6.0 in each of the four components). Other, equivalent qualifications will be accepted. Full details of the University’s policy are available online.
Essential attributes:
Desirable attributes:
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