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Grant: Discovery Grants Program - Individual

Carleton University

$69,000.00

Development of Monte Carlo techniques for radiation transport simulations and application to radiotherapy physics and dosimetry

FY 2009-10

Summary
Over 600,000 cancer patients a year are treated by radiation in North America. A critical aspect of each treatment is the accurate delivery of a known dose of radiation to the tumour. Thus clinical dosimetry, the determination of the radiation dose delivered to the tumour and elsewhere in the patient, plays a central role in these treatments. This research program involves two separate components of clinical dosimetry. One goal is to improve our ability to measure the radiation dose in a water tank with a high degree of accuracy since this calibrates the output of the source of radiation which may be an accelerator or a small radioactive seed. Another goal is to improve our ability to take a knowledge of that "reference dose", and calculate the dose distribution inside a real patient exposed to the same source of radiation. The central tool used in this research program is a suite of computer codes developed by the principal investigator and colleagues. These codes use what are called Monte Carlo techniques to model the passage of radiation through matter, including measuring devices and patients. This research is supported by a powerful cluster of computers funded by CFI. These computer codes are used to study how the instruments which measure radiation are working and recent breakthroughs mean practical and accurate corrections can be calculated for the first time, thereby improving clinical radiation measurement. The results show problems with current methods at the 1 to 5% level, but since the errors can affect hundreds of thousands of patients, the effects can be important. In another component of the research program, use will be made of another breakthrough to rapidly calculate the dose distributions around radioactive sources placed in the body to kill tumours. Sophisticated techniques have been developed to do accurate calculations of the very complex sources used, while the time taken for the calculations has been reduced from days to minutes. The goal now is to make the programs easier to use so that clinical physicists can make use of them on a routine basis and thereby improve cancer radiotherapy.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
283248-2009
Name nom
Rogers, David
Department département
Physics
Organization id
23
Institution établissement
Carleton University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2009
Competition year année de concours
2009
Award amount
69000
Program id
RGPIN
Program nane en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
29
Committee name en
General Physics
Committee name fr
Physique générale
Area of application code
1101
Area of application group en
Health, education and social services
Area of application group fr
Santé publique, éducation et services sociaux
Area of application en
Human health (including medically-related psychological research)
Area of application fr
Santé publique (y compris recherche psychologique liée à la médecine)
Research subject code
3114
Research subject group en
Physics
Research subject group fr
Physique
Research subject en
Biological and Medical Physics
Research subject fr
Physique biologique et médicale
Partie
1
Nb partie
5
Application title
Development of Monte Carlo techniques for radiation transport simulations and application to radiotherapy physics and dosimetry
Keyword
NA
Application summary
Over 600,000 cancer patients a year are treated by radiation in North America. A critical aspect of each treatment is the accurate delivery of a known dose of radiation to the tumour. Thus clinical dosimetry, the determination of the radiation dose delivered to the tumour and elsewhere in the patient, plays a central role in these treatments. This research program involves two separate components of clinical dosimetry. One goal is to improve our ability to measure the radiation dose in a water tank with a high degree of accuracy since this calibrates the output of the source of radiation which may be an accelerator or a small radioactive seed. Another goal is to improve our ability to take a knowledge of that "reference dose", and calculate the dose distribution inside a real patient exposed to the same source of radiation. The central tool used in this research program is a suite of computer codes developed by the principal investigator and colleagues. These codes use what are called Monte Carlo techniques to model the passage of radiation through matter, including measuring devices and patients. This research is supported by a powerful cluster of computers funded by CFI. These computer codes are used to study how the instruments which measure radiation are working and recent breakthroughs mean practical and accurate corrections can be calculated for the first time, thereby improving clinical radiation measurement. The results show problems with current methods at the 1 to 5% level, but since the errors can affect hundreds of thousands of patients, the effects can be important. In another component of the research program, use will be made of another breakthrough to rapidly calculate the dose distributions around radioactive sources placed in the body to kill tumours. Sophisticated techniques have been developed to do accurate calculations of the very complex sources used, while the time taken for the calculations has been reduced from days to minutes. The goal now is to make the programs easier to use so that clinical physicists can make use of them on a routine basis and thereby improve cancer radiotherapy.
Carleton University - $69,000 Grant (2009-10) | Canada Spends