Grant: Canada Research Chairs
University of Manitoba
$50,000.00
Applied Electromagnetic Inversion
EF 2023-24
Résumé
Dr. Gilmore's research uses electromagnetic waves to 'see' inside three dimensional objects and detect things that are normally hidden. These waves are in the frequency range from 10 MHz to 4 GHz, and their applications can vary from imaging the moisture content of stored grain in large bins to imaging breast cancer. While the applications are wide ranging, the mathematics and computational processes are identical across domains. The process of illuminating a target with electromagnetic waves, receiving the scattered fields and then making a quantitative image of the target is called Electromagnetic Inversion (EMI).
The ability to see inside of objects using these waves provides large social and economic benefits that range from preventing the spoilage of grain to detecting and monitoring the treatment of breast cancer. For example Dr. Gilmore's efforts during his first term were key to the economic growth of a company, 151Research Inc, that commercialized EMI for monitoring stored grain and went from 7 to 47 Full-Time-Equivalent staff during his first term.
Continuing to work with a diverse team, Dr. Gilmore’s CRC renewal will build upon the discoveries made during his first term in applied EMI and will focus on three objectives, all working towards practical deployment of EMI systems to help Canada:
Objective 1: Increasing the reliability and stability of EMI imaging. Deploying EMI systems in a wide range of industries requires that they perform well across a wide variety of targets and conditions - not just one-off lab systems. Dr. Gilmore's work has shown why EMI systems can be unreliable, and he will use methods such as time-domain EMI that promise to make EMI systems more stable and reliable.
Objective 2: Generating practical uses of Machine Learning in EMI imaging. Machine learning shows great promise for increasing the speed and accuracy of EMI, and Dr. Gilmore will develop new machine-learning approaches to EMI focused on their practical application, especially for reliable operation.
Objective 3: Creating a clinical-ready prototype contrast-enhanced EMI system for breast cancer detection and treatment monitoring. Objectives 1 and 2 will be combined to create a clinical-ready, world-first, contrast-enhanced breast imaging system that uses a contrast fluid to enhance electromagnetic scattering from cancerous tissues, leading to earlier breast cancer detection and safer breast-cancer treatment monitoring.
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
Manitoba, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
CRC-2022-00311
Name nom
Gilmore, Colin
Department département
Electrical and Computer Engineering - University of Manitoba
Organization id
19
Institution établissement
University of Manitoba
Province en
Manitoba
Province fr
Manitoba
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2022
Award amount
50000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
10000
Area of application group en
The socioeconomic objective available
Area of application group fr
L'objectif socioéconomique disponible
Area of application en
The socioeconomic objective available
Area of application fr
L'objectif socioéconomique disponible
Research subject code
10000
Research subject group en
The field of research available
Research subject group fr
The field of research available
Research subject en
Le domaine de recherche disponible
Research subject fr
Le domaine de recherche disponible
Field of research list codes
RDF2030111
Field of research list names en
Machine learning systems
Field of research list names fr
Systèmes d'apprentissage machine
Socioeconomic objective list codes
RDS10609
Socioeconomic objective list names en
Computer, electronic, optical products and communication equipment
Socioeconomic objective list names fr
Produits informatiques, électroniques et optiques et équipement de communication
Application title
Applied Electromagnetic Inversion
Keyword
Applied Inverse Problems; Microwave Imaging; Microwave Tomography; Optimization; Computational Electromagnetics; Calibration; Electromagnetic Measurements
Application summary
Dr. Gilmore's research uses electromagnetic waves to 'see' inside three dimensional objects and detect things that are normally hidden. These waves are in the frequency range from 10 MHz to 4 GHz, and their applications can vary from imaging the moisture content of stored grain in large bins to imaging breast cancer. While the applications are wide ranging, the mathematics and computational processes are identical across domains. The process of illuminating a target with electromagnetic waves, receiving the scattered fields and then making a quantitative image of the target is called Electromagnetic Inversion (EMI).
The ability to see inside of objects using these waves provides large social and economic benefits that range from preventing the spoilage of grain to detecting and monitoring the treatment of breast cancer. For example Dr. Gilmore's efforts during his first term were key to the economic growth of a company, 151Research Inc, that commercialized EMI for monitoring stored grain and went from 7 to 47 Full-Time-Equivalent staff during his first term.
Continuing to work with a diverse team, Dr. Gilmore’s CRC renewal will build upon the discoveries made during his first term in applied EMI and will focus on three objectives, all working towards practical deployment of EMI systems to help Canada:
Objective 1: Increasing the reliability and stability of EMI imaging. Deploying EMI systems in a wide range of industries requires that they perform well across a wide variety of targets and conditions - not just one-off lab systems. Dr. Gilmore's work has shown why EMI systems can be unreliable, and he will use methods such as time-domain EMI that promise to make EMI systems more stable and reliable.
Objective 2: Generating practical uses of Machine Learning in EMI imaging. Machine learning shows great promise for increasing the speed and accuracy of EMI, and Dr. Gilmore will develop new machine-learning approaches to EMI focused on their practical application, especially for reliable operation.
Objective 3: Creating a clinical-ready prototype contrast-enhanced EMI system for breast cancer detection and treatment monitoring. Objectives 1 and 2 will be combined to create a clinical-ready, world-first, contrast-enhanced breast imaging system that uses a contrast fluid to enhance electromagnetic scattering from cancerous tissues, leading to earlier breast cancer detection and safer breast-cancer treatment monitoring.