Grant: Canada Research Chairs
Carleton University
$100,000.00
Radiotherapy Physics
EF 2019-20
Résumé
Simulations of the passage of radiation through matter are widely used for cancer radiotherapy research and treatment planning. Although sophisticated code systems have been developed, their application can be limited due to long calculation times or conceptual and fundamental limits. The proposed research will address these shortcomings through the development of computational approaches to model the interactions of radiation with matter. Computational tools developed will be applied to advance knowledge of radiation physics and biology, evaluate and improve radiotherapy for cancer, and develop new treatments including radiotherapy with nanodevices.
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
1000232082-2018
Name nom
Thomson, Rowan
Department département
Physics/Faculty of Science
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2018
Award amount
100000
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
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
3100
Research subject group en
Physics
Research subject group fr
Physique
Research subject en
Physics
Research subject fr
Physique
Installment
NA
Partie
0
Nb partie
NA
Application title
Radiotherapy Physics
Keyword
NSERC
Application summary
Simulations of the passage of radiation through matter are widely used for cancer radiotherapy research and treatment planning. Although sophisticated code systems have been developed, their application can be limited due to long calculation times or conceptual and fundamental limits. The proposed research will address these shortcomings through the development of computational approaches to model the interactions of radiation with matter. Computational tools developed will be applied to advance knowledge of radiation physics and biology, evaluate and improve radiotherapy for cancer, and develop new treatments including radiotherapy with nanodevices.
