Technology Overview

A novel approach to deliver a hybrid of anatomical and functional medical imaging.

1st Gen RW Clinical prototype

Introduction

The EMVT technology presents a disruptive imaging modality with potentially far-reaching applications and commercial opportunity. The same types of electromagnetic waves that mobile phones use to transmit voice and data are now being used for medical imaging. It is the product of over a decade of research and development at The University of Queensland. The technology has come out of a research group led by Professors Amin Abbosh and Stuart Crozier at the School of Information Technology and Electrical Engineering. The dynamic team has built a series of advanced prototypes which have led up to the EMVT clinical prototype that is currently in clinical testing. These advancements included an optimized antenna array, innovative signal capture plus image processing algorithms, and machine learning driven boundary conditions and stroke classification.

How It Works

Electromagnetic RF Imaging

Electromagnetic microwave imaging provides a different spatial resolution from that of a CT or MRI, with a potential high sensitivity to changes in the electrical properties of tissue which can be influenced by factors such as temperature, blood flow, water content and hypoxia.

EM-imaging-output

The Challenge

To date industry participants have struggled to produce genuine quality images of biological tissue with microwave tomography in a practical amount of time.

The Breakthrough

A series of highly innovative algorithms that map the dielectic properties of tissue. Using low-power microwave signals, whilst solving the challenges of image quality, accuracy and computational time, to produce quality images of the brain in a matter of minutes. Read about the team behind the breakthrough here.

Peer Review Papers

Stroke Classification in Simulated Electromagnetic Imaging Using Graph Approaches

https://ieeexplore.ieee.org/document/9095216

Digital Object Identifier (DOI): 10.1109/JERM.2020.2995329

Expedited Stroke Imaging with Electromagnetic Polar Sensitivity Encoding

https://ieeexplore.ieee.org/document/9103981

DOI: 10.1109/TAP.2020.2996810

Portable Microwave Head Imaging System Using Software-Defined Radio and Switching Network

 http://doi.org/10.1109/JERM.2019.2901360 

DOI: 10.1109/JERM.2019.2901360

Portable Biomedical Microwave Imaging Using Software-Defined Radio

http://doi.org/10.23919/APMC.2018.8617306

DOI: 10.23919/APMC.2018.8617306

Compact Unidirectional Conformal Antenna Based on Flexible High-Permittivity Custom-Made Substrate for Wearable Wideband Electromagnetic Head Imaging System

https://doi.org/10.1109/TAP.2019.2938849

Wearable Electromagnetic Head Imaging System Using Flexible Wideband Antenna Array Based on Polymer Technology for Brain Stroke Diagnosis

https://doi.org/10.1109/TBCAS.2018.2878057

Fabrication and Characterization of Flexible Polymer Iron Oxide Composite Substrate for the Imaging Antennas of Wearable Head Imaging Systems

https://doi.org/10.1109/LAWP.2018.2841879

Wearable Electromagnetic Head Imaging Using Magnetic-based Antenna Arrays

https://doi.org/10.1109/APUSNCURSINRSM.2019.8889119

Compact Flexible Wideband Antenna for On-Body Electromagnetic Medical Diagnostic Systems

https://doi.org/10.1109/TAP.2020.2996815

Hardware

Ambulance

 

 

  • Multi-Antenna Crown
  • Multi-Port VNA
  • Standard Laptop

Software

Signal and image processing.

  • Boundary Conditions
  • Anomaly Identification
  • Anomaly Verification
  • Stroke Classification

EMVision unit and Ultrasound