Grant: Alliance Grants
Toronto Metropolitan University
$25,000.00
X-ray Detectors for the Next-generation of Medical Imaging of Breast Cancer
FY 2022-23
Summary
X-ray mammography has contributed to a 39% reduction in breast cancer mortality in the U.S. since 1990. However, 50% of women screened annually for ten years experience a false positive, some of which lead to biopsies, causing patient anxiety and increasing health-care costs. State-of-the-art x-ray mammography units use large-area flat-panel x-ray detectors. During an image acquisition, each element of a flat-panel x-ray detector integrates all x-ray energy deposited within the element. Technological innovations are leading to photon-counting x-ray detectors, which estimate the energy of individual x-ray photons. Photon counting may enhance the classification of breast lesions (i.e. malign or benign), potentially reducing the number of unnecessary breast biopsies. Dr. Tanguay at Ryerson University is leading the development of a framework for modelling of the imaging performance of photon-counting x-ray detectors. Dr. Zhao at Stony Brook University is developing a photon-counting x-ray detector based on amorphous selenium (a-Se) technology. The Stony Brook Group's novel approach has the potential to enable large-area photon-counting breast imaging. Establishing evidence of the superiority of the Stony Brook Group's approach relative to conventional approaches is critical. Ideally, such comparisons could be made at the concept and design phase of development using realistic models of system performance. In this grant, Drs. Tanguay and Zhao combine their unique expertise to develop new tools for comprehensive, accurate modelling of a-Se photon-counting x-ray detectors. The methodologies developed in this collaboration will enable the scientific community to make evidence-based investments in the photon counting x-ray detectors that have the best potential to improve the accuracy of breast cancer screening programs in Canada and worldwide.
Program
Alliance Grants
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
574408-2022
Name nom
Tanguay, Jesse JEA
Department département
Physics
Organization id
43
Institution établissement
Toronto Metropolitan University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2022
Award amount
25000
Program id
ALLRP
Program name en
Alliance Grants
Program name fr
Subventions Alliance
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
518
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Medical equipment and apparatus
Area of application fr
Appareils et instruments médicaux
Research subject code
3115
Research subject group en
Physics
Research subject group fr
Physique
Research subject en
Medical Physics
Research subject fr
Physique médicale
Installment
inst:1
Partie
1
Nb partie
1
Application title
X-ray Detectors for the Next-generation of Medical Imaging of Breast Cancer
Application summary
X-ray mammography has contributed to a 39% reduction in breast cancer mortality in the U.S. since 1990. However, 50% of women screened annually for ten years experience a false positive, some of which lead to biopsies, causing patient anxiety and increasing health-care costs. State-of-the-art x-ray mammography units use large-area flat-panel x-ray detectors. During an image acquisition, each element of a flat-panel x-ray detector integrates all x-ray energy deposited within the element. Technological innovations are leading to photon-counting x-ray detectors, which estimate the energy of individual x-ray photons. Photon counting may enhance the classification of breast lesions (i.e. malign or benign), potentially reducing the number of unnecessary breast biopsies. Dr. Tanguay at Ryerson University is leading the development of a framework for modelling of the imaging performance of photon-counting x-ray detectors. Dr. Zhao at Stony Brook University is developing a photon-counting x-ray detector based on amorphous selenium (a-Se) technology. The Stony Brook Group's novel approach has the potential to enable large-area photon-counting breast imaging. Establishing evidence of the superiority of the Stony Brook Group's approach relative to conventional approaches is critical. Ideally, such comparisons could be made at the concept and design phase of development using realistic models of system performance. In this grant, Drs. Tanguay and Zhao combine their unique expertise to develop new tools for comprehensive, accurate modelling of a-Se photon-counting x-ray detectors. The methodologies developed in this collaboration will enable the scientific community to make evidence-based investments in the photon counting x-ray detectors that have the best potential to improve the accuracy of breast cancer screening programs in Canada and worldwide.