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Grant: Collaborative Research and Development Grants

University of Western Ontario

$94,000.00

Computer aided cardiac image diagnosis

EF 2017-18

Résumé
We propose to develop a cloud based information system for computer facilitate and full automatic computer aided cardiac image diagnosis. Cardiac disease is considered as a significant medical problem worldwide. Non-invasive cardiac imaging (e.g. Cardiac CT and MRI) has offered a great tool to diagnosis and tracking of diseases. However huge amount of information (e.g. dynamic cardiac MRI is about 300M-1G.) is associate with each scan and all their previous scans. There is urgent need of both semi- and full-automatic intelligent tool to help physician on their daily diagnosis, longitude analysis and population study. Our research will enable Canadian cardiac healthcare provider to optimize their services and resources; will greatly reduce sudden death and improve the quality of life for senior population. Moreover it will further enhance the national and international reputation of Canada and industrial partners for cloud, imaging and big data research; encourage industry, and academic units to work together for challenging problems, which has been proven to be an efficient training environment for HQP.
Programme
Collaborative Research and Development Grants
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
499385-2016
Name nom
Li, Shuo
Department département
Medical Biophysics
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2016
Award amount
94000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
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
2710
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Information systems design
Research subject fr
Conception de systèmes d'information
Partie
2
Nb partie
2
Application title
Computer aided cardiac image diagnosis
Keyword
NSERC
Application summary
We propose to develop a cloud based information system for computer facilitate and full automatic computer aided cardiac image diagnosis. Cardiac disease is considered as a significant medical problem worldwide. Non-invasive cardiac imaging (e.g. Cardiac CT and MRI) has offered a great tool to diagnosis and tracking of diseases. However huge amount of information (e.g. dynamic cardiac MRI is about 300M-1G.) is associate with each scan and all their previous scans. There is urgent need of both semi- and full-automatic intelligent tool to help physician on their daily diagnosis, longitude analysis and population study. Our research will enable Canadian cardiac healthcare provider to optimize their services and resources; will greatly reduce sudden death and improve the quality of life for senior population. Moreover it will further enhance the national and international reputation of Canada and industrial partners for cloud, imaging and big data research; encourage industry, and academic units to work together for challenging problems, which has been proven to be an efficient training environment for HQP.