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Grant: Project Grant

University of British Columbia

$937,126.00

Towards state-of-the-art long axial field-of-view (LAFOV) PET/CT imaging of cancer patients

FY 2024-25

Summary
BC Cancer / University of British Columbia (UBC) have acquired a first-in-Canada type of PET scanner that is 10 times more sensitive than a typical PET scanner. This opens exciting new possibilities of obtaining images that have much better quality, or alternatively, images of same quality as existing PET/CT scanners but acquired with much less radioactive injection to patients (reducing dose) or at much faster scan times (improving patient comfort) or obtained at much later times after injection (providing added information). It can also allow more reliable dynamic imaging of how radiopharmaceuticals evolve in the body, generating more valuable information. In the present work, working with our international collaborators, we aim to develop and validate data acquisition and image generation protocols on such PET/CT scanners optimized for clinical assessments, paving the way for reliable use of these scanners for imaging of cancer patients in Canada and beyond. We will also leverage artificial intelligence (AI) techniques to further improve our PET/CT imaging methods. Our ultimate goal is to validate these advanced techniques and integrate them into routine clinical practice, providing doctors with powerful tools for personalized and effective cancer care.
Program
Project Grant
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
CIHR Funding Decisions Database

As published

Id
523234
Name
Rahmim Arman
Region
British Columbia
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Cancer Research
Theme2
Biomedical
Prcname2
Medical Physics & Imaging
Projecttitle
Towards state-of-the-art long axial field-of-view (LAFOV) PET/CT imaging of cancer patients
Programtype2
Operating Grants
Orgnameinp2
University of British Columbia
Cihramount2
$937,126
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Ai; Cancer; Data Acquisition; Image Processing; Image Reconstruction; Imaging; Medical Physics; Pet/Ct
Abstract
BC Cancer / University of British Columbia (UBC) have acquired a first-in-Canada type of PET scanner that is 10 times more sensitive than a typical PET scanner. This opens exciting new possibilities of obtaining images that have much better quality, or alternatively, images of same quality as existing PET/CT scanners but acquired with much less radioactive injection to patients (reducing dose) or at much faster scan times (improving patient comfort) or obtained at much later times after injection (providing added information). It can also allow more reliable dynamic imaging of how radiopharmaceuticals evolve in the body, generating more valuable information. In the present work, working with our international collaborators, we aim to develop and validate data acquisition and image generation protocols on such PET/CT scanners optimized for clinical assessments, paving the way for reliable use of these scanners for imaging of cancer patients in Canada and beyond. We will also leverage artificial intelligence (AI) techniques to further improve our PET/CT imaging methods. Our ultimate goal is to validate these advanced techniques and integrate them into routine clinical practice, providing doctors with powerful tools for personalized and effective cancer care.
Competitiondate
202503
Approvedterm2
5 yrs 0 mth
Pinamesdelim
Rahmim, Arman; Uribe, Carlos F
Approvedterm
5 ans 0 mois
Cihrcontribution2
~ $937,126~ $0~