Grant: DRA: Canada Impact+ Research Training Awards - Doctoral
Sunnybrook Research Institute (Toronto, Ontario)
$120,000.00
Physics-informed mapping of the brain’s arteries in health and disease
EF 2025-26
Résumé
"A stroke occurs every five minutes in Canada. Rapid diagnosis is critical, hence the motto “time is brain”. However,
understanding how and where vascular failure occurs remains a challenge.
The brain relies on a vast and complex network of blood vessels that carry oxygen and nutrients. Our approach will use the
best available pictures of the brain’s arteries and create digital representations of this vascular network using artificial
intelligence (AI) technology. We will study how these blood vessels bend, turn, and form new branches. This will give us
insight into when things go wrong, such as when a vessel is blocked or develops an abnormality.
This project aims to transform how brain arteries are mapped and analyzed by combining ultra-high-field MRI, physics, and
AI. Using a cutting-edge 7 Tesla MRI scanner, we will capture highly detailed images of brain arteries, which AI models will
convert into maps of the arterial network. The AI models can also be applied to CT images. Physics-based insights will help
interpret and validate AI results. By automating a task that is currently slow and manual, these tools will enable faster, more
consistent vascular assessments, particularly in urgent settings such as acute stroke, and enable researchers to compare
arterial structure across people, imaging methods, and MRI scanner strengths in ways not previously possible.
Beyond clinical impact, the project will address fundamental questions and test theories about how the arterial network is
organized within the brain. By combining advanced imaging, AI, and physical theory, this project will create high-resolution
arterial roadmaps to improve cerebrovascular disease detection and understanding of brain’s blood supply."
Programme
DRA: Canada Impact+ Research Training Awards - Doctoral
Bénéficiaire
Emplacement
Ontario, Canada
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
568239
Name
Singh Madhur Pratap
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Prcname2
Canada Impact+ Research Training Awards - Doctoral
Projecttitle
Physics-informed mapping of the brain’s arteries in health and disease
Programtype2
Studentship Programs
Orgnameinp2
Sunnybrook Research Institute (Toronto, Ontario)
Cihramount2
$120,000
Cihrequipment2
$0
Programname2
DRA: Canada Impact+ Research Training Awards - Doctoral
Keyworddelim
Brain Vascular Imaging; Ct Angiography; Deep Learning Segmentation; Mra-Tof; Ultra-High-Field Mri (7t)
Abstract
"A stroke occurs every five minutes in Canada. Rapid diagnosis is critical, hence the motto “time is brain”. However,
understanding how and where vascular failure occurs remains a challenge.
The brain relies on a vast and complex network of blood vessels that carry oxygen and nutrients. Our approach will use the
best available pictures of the brain’s arteries and create digital representations of this vascular network using artificial
intelligence (AI) technology. We will study how these blood vessels bend, turn, and form new branches. This will give us
insight into when things go wrong, such as when a vessel is blocked or develops an abnormality.
This project aims to transform how brain arteries are mapped and analyzed by combining ultra-high-field MRI, physics, and
AI. Using a cutting-edge 7 Tesla MRI scanner, we will capture highly detailed images of brain arteries, which AI models will
convert into maps of the arterial network. The AI models can also be applied to CT images. Physics-based insights will help
interpret and validate AI results. By automating a task that is currently slow and manual, these tools will enable faster, more
consistent vascular assessments, particularly in urgent settings such as acute stroke, and enable researchers to compare
arterial structure across people, imaging methods, and MRI scanner strengths in ways not previously possible.
Beyond clinical impact, the project will address fundamental questions and test theories about how the arterial network is
organized within the brain. By combining advanced imaging, AI, and physical theory, this project will create high-resolution
arterial roadmaps to improve cerebrovascular disease detection and understanding of brain’s blood supply."
Competitiondate
202603
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Singh, Madhur Pratap
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $120,000~ $0~