Grant: Research Tools and Instruments - Category 1 (<$150,000)
Carleton University
$67,343.00
Benchtop spectrometer, gaussmeter and position system for low field, open magnetic resonance
EF 2008-09
Résumé
Magnetic resonance imaging is a proven and powerful tool in medical diagnostics. Along with biomedical applications, magnetic resonance (MR), the phenomenon behind MRI, can be applied to a range of nondestructive testing problems, for example structural health monitoring in buildings, quality control of food products, and process monitoring in polymer manufacturing. Conventional MR is costly, requiring large superconducting magnets to generate the carefully controlled magnetic fields which make this technology work. MR compatible magnetic fields must traditionally be generated inside of an enclosed tube - like a hospital MRI machine - which makes it difficult or impossible to measure many samples. Low cost, open magnets would be a more affordable alternative to conventional medical MRI machines which would be of great benefit in developing countries or more remote locations such as northern Canada. Simplified quality control MR measurements would benefit industry in terms of cost savings and increased product quality. I am developing ways of designing MR magnets which overcome these difficulties, lowering cost using permanent magnets, and projecting the required magnetic field into an open volume in order to accommodate a wider range of measurement samples. This design work requires feedback including (1) mapping the magnetic field patterns of magnets constructed based on the design techniques being developed, (2) MR measurements using the constructed magnets - this provides feedback which allows designs to be numerically optimized, and opportunities to develop signal processing techniques to correct data corrupted by the less than ideal magnetic field generated by open magnets. With the ability to make these MR measurements, I will also work with research and industry partners to develop new sensing techniques for applications such as healthcare and quality control. For these applications, I am requesting a benchtop spectrometer - the apparatus providing experimental control for MR experiments, a Gaussmeter - a magnetic field sensor used to make 3D maps of magnetic fields, and a 3-axis position system for use in field mapping and MR experiment automation.
Programme
Research Tools and Instruments - Category 1 (<$150,000)
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
374968-2009
Name nom
Marble, Andrew
Department département
Systems and Computer Engineering
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2008
Competition year année de concours
2009
Award amount
67343
Program id
EQPEQ
Program nane en
Research Tools and Instruments - Category 1 (<$150,000)
Program name fr
Outils et instruments de recherche - catégorie 1 (<150 000$)
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1079
Committee name en
Electrical and Computer Engineering
Committee name fr
Génie électrique et de l'informatique
Area of application code
515
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Instrumentation technology
Area of application fr
Technologie de l'instrumentation
Research subject code
2502
Research subject group en
Electrical and electronic engineering
Research subject group fr
Génie électrique et électronique
Research subject en
Electromagnetics
Research subject fr
Électromagnétisme
Partie
1
Nb partie
1
Application title
Benchtop spectrometer, gaussmeter and position system for low field, open magnetic resonance
Keyword
NA
Application summary
Magnetic resonance imaging is a proven and powerful tool in medical diagnostics. Along with biomedical applications, magnetic resonance (MR), the phenomenon behind MRI, can be applied to a range of nondestructive testing problems, for example structural health monitoring in buildings, quality control of food products, and process monitoring in polymer manufacturing. Conventional MR is costly, requiring large superconducting magnets to generate the carefully controlled magnetic fields which make this technology work. MR compatible magnetic fields must traditionally be generated inside of an enclosed tube - like a hospital MRI machine - which makes it difficult or impossible to measure many samples. Low cost, open magnets would be a more affordable alternative to conventional medical MRI machines which would be of great benefit in developing countries or more remote locations such as northern Canada. Simplified quality control MR measurements would benefit industry in terms of cost savings and increased product quality. I am developing ways of designing MR magnets which overcome these difficulties, lowering cost using permanent magnets, and projecting the required magnetic field into an open volume in order to accommodate a wider range of measurement samples. This design work requires feedback including (1) mapping the magnetic field patterns of magnets constructed based on the design techniques being developed, (2) MR measurements using the constructed magnets - this provides feedback which allows designs to be numerically optimized, and opportunities to develop signal processing techniques to correct data corrupted by the less than ideal magnetic field generated by open magnets. With the ability to make these MR measurements, I will also work with research and industry partners to develop new sensing techniques for applications such as healthcare and quality control. For these applications, I am requesting a benchtop spectrometer - the apparatus providing experimental control for MR experiments, a Gaussmeter - a magnetic field sensor used to make 3D maps of magnetic fields, and a 3-axis position system for use in field mapping and MR experiment automation.