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Grant: Alliance Grants

University of Victoria

$282,500.00

PANACEA: application of Artificial intelligence in spectral photon-counting computed tomography

FY 2022-23

Summary
Medical x-ray imaging is currently experiencing a breakthrough thanks to the very recent approval of the first computed tomography (CT) scanner employing photon-counting detectors by the Food and Drug Agency (FDA). It is believed that photon counting CT scanners will drastically improve disease diagnosis by offering unprecedentedly high resolution and high contrast enabling the visualization of small features and early disease detection.Thanks to the past partnership between, Redlen Technologies and the X-ray Cancer Imaging and Therapy Experimental (XCITE) lab at the University of Victoria are extremely well positioned to make significant contributions to the novel field of CT imaging with photon-counting detectors. Redlen Technologies is a manufacturer of photon-counting detectors and is looking for academic partners with CT imaging software expertise who can fully unleash the potential of their photon-counting detectors for unprecedented high-resolution high-contrast CT imaging for the diagnosis of diseases, including cancer, stroke and COVID-19. The XCITE lab has extensive experience with CT imaging which they will marry with their machine learning for medical imaging expertise and will help solve the photo-counting CT imaging challenge posed by Redlen Technologies. In this partnership between Redlen Technologies and the XCITE lab, the team will join in the race to offer the highest quality healthcare and put Canada on the world map of experts in photon-counting CT scanner hardware and software.
Program
Alliance Grants
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
570539-2021
Name nom
Bazalova, Magdalena M
Department département
Physics and Astronomy
Organization id
7
Institution établissement
University of Victoria
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2022
Competition year année de concours
2021
Award amount
282500
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
1102
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
Biomedical engineering
Area of application fr
Génie biomédical
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
PANACEA: application of Artificial intelligence in spectral photon-counting computed tomography
Application summary
Medical x-ray imaging is currently experiencing a breakthrough thanks to the very recent approval of the first computed tomography (CT) scanner employing photon-counting detectors by the Food and Drug Agency (FDA). It is believed that photon counting CT scanners will drastically improve disease diagnosis by offering unprecedentedly high resolution and high contrast enabling the visualization of small features and early disease detection.Thanks to the past partnership between, Redlen Technologies and the X-ray Cancer Imaging and Therapy Experimental (XCITE) lab at the University of Victoria are extremely well positioned to make significant contributions to the novel field of CT imaging with photon-counting detectors. Redlen Technologies is a manufacturer of photon-counting detectors and is looking for academic partners with CT imaging software expertise who can fully unleash the potential of their photon-counting detectors for unprecedented high-resolution high-contrast CT imaging for the diagnosis of diseases, including cancer, stroke and COVID-19. The XCITE lab has extensive experience with CT imaging which they will marry with their machine learning for medical imaging expertise and will help solve the photo-counting CT imaging challenge posed by Redlen Technologies. In this partnership between Redlen Technologies and the XCITE lab, the team will join in the race to offer the highest quality healthcare and put Canada on the world map of experts in photon-counting CT scanner hardware and software.
University of Victoria - $282,500 Grant (2022-23) | Canada Spends