Grant: Canada Research Chairs
Queen's University
$200,000.00
Surgical Data Science
FY 2019-20
Summary
This research program will concentrate on Surgical Data Science, specifically on novel technologies for minimally invasive medical interventions performed under computational image guidance. I aim to transcend human limitations in the accuracy and precision of image-guided intervention performance and in training physicians for these procedures. Specifically, I will develop and translate to actual clinical practice the following innovative methods: (1) novel electromagnetically navigated instruments, intra-operative biomechanical image fusion methods and surgical navigation software for soft tissue tumor resection, first demonstrated in breast cancer surgery; (2) a new generation of training methods and systems for quantitative skill and competence assessment in image-guided needle placement intervention training.
Program
Canada Research Chairs
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
1000231805-2017
Name nom
Fichtinger, Gabor
Department département
School of Computing
Organization id
29
Institution établissement
Queen's University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2017
Award amount
200000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
1900
Research subject group en
Biomedical engineering
Research subject group fr
Génie biomédical
Research subject en
Biomedical engineering
Research subject fr
Génie biomédical
Installment
NA
Partie
0
Nb partie
NA
Application title
Surgical Data Science
Keyword
NSERC
Application summary
This research program will concentrate on Surgical Data Science, specifically on novel technologies for minimally invasive medical interventions performed under computational image guidance. I aim to transcend human limitations in the accuracy and precision of image-guided intervention performance and in training physicians for these procedures. Specifically, I will develop and translate to actual clinical practice the following innovative methods: (1) novel electromagnetically navigated instruments, intra-operative biomechanical image fusion methods and surgical navigation software for soft tissue tumor resection, first demonstrated in breast cancer surgery; (2) a new generation of training methods and systems for quantitative skill and competence assessment in image-guided needle placement intervention training.
