Electromagnetic Torso Imaging for Clinical Diagnosis and Monitoring: Challenges and Future Directions

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Abstract:

Torso-related diseases are among the leading causes of death worldwide. Current diagnostic modalities, including X-ray, CT, MRI, and ultrasound, are clinically established but face significant limitations when it comes to monitoring. These constraints limit the ability to detect diseases early and monitor their progression over time, particularly in regional and resource-limited settings. Medical electromagnetic torso scanning platforms are portable, non-invasive, low-cost, non-ionizing, and require minimal operator expertise. The underlying principle relies on the contrast in dielectric properties between healthy and abnormal tissues.

A torso scanning system consists of three core components: an antenna or antenna array, a microwave transceiver, and a detection algorithm. The quality of the detection algorithm depends directly on the quality of the data it receives, and the quality of that data is governed by the antenna. Designing a high-performance antenna for this application is, however, particularly challenging. The human torso is heterogeneous and large, its tissues are frequency-dispersive, and conductivity increases with frequency, causing rapid signal attenuation at higher frequencies.

These factors make it challenging to achieve simultaneously wide bandwidth, high quality EM wave penetration profile, and stable radiation characteristics in a compact structure suitable for clinical use.


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  • The University of Queensland
  • Brisbane, Queensland
  • Australia
  • Building: 46 (Andrew N. Liveris Building)
  • Room Number: 914
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  • Starts 05 May 2026 02:00 PM UTC
  • Ends 09 May 2026 02:00 PM UTC
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Dr. Hadi Mousavi

Topic:

Electromagnetic Torso Imaging for Clinical Diagnosis and Monitoring: Challenges and Future Directions

Biography:

Dr. Hadi Mousavi received his B.Sc. and M.Sc. in Telecommunication Engineering in 2012 and 2014 in Tehran, Iran. He continued his research in microwave engineering, antennas and propagation, earning the Elite Researcher Prize in 2018. He joined the eMAGIN team at the University of Queensland  to pursue his Ph.D., focusing on antenna design for medical electromagnetic torso imaging systems, and received his Ph.D. in 2025.

He is currently a Postdoctoral Research Fellow in antenna design and applied electromagnetics at the University of Queensland  , working on medical EM torso imaging systems. Dr. Mousavi has published over 20 papers and serves as a reviewer for several IEEE journals.

Address:Brisbane, Queensland, Australia