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Grant: Research Tools and Instruments - Category 1 (<$150,000)

École Polytechnique de Montréal

$137,165.00

Non invasive equipment for multimodal image fusion

FY 2006-07

Summary
Advances in video imaging have played a key role in bringing forth the widespread use of Minimally Invasive Surgery (MIS) in a variety of procedures such as cardiology, neurosurgery, orthopaedics, urology and oncology. However, the inherent difficulties of MIS techniques have traditionally imposed limitations on their applicability. Reduced instrumental control and freedom, combined with unusual hand-to-eye coordination and limited view of the operating field, enforce restrictions on the surgeon and require considerable dexterity and skill. On the other hand, these procedures entail several benefits for the patient and the healthcare system: smaller incisions, minimal blood loss, preservation of normal tissue, reduced pain, and shortened recovery and rehabilitation times. To help make the MIS techniques easier to apply and learn, and by the same token to facilitate their more widespread use, an enhanced reality surgical system to restore depth and context information would be useful. The challenges involved in realizing this goal are related to the realism of data visualization, the robust reconstruction of patient-specific models and the registration between different imaging modalities. Furthermore, the focus of recent research has been the development of more accurate and less invasive methods for the registration of preoperative models to intra-operative models of the patient in the operating room. Therefore, ultrasound has been chosen as a non-invasive alternative for localizing bone and other surfaces in the operating room.  The requested equipment will allow us to investigate new approaches to ensure accurate registration of patient data from different modalities, which is a prerequisite for intra-operative assistance.  3D pre-operative models of the spine obtained from MRI volumetric data and surface data from ultrasound will be combined with intra-operative 2D thoracoscopic images. This multimodal image fusion framework will provide complementary visual information including soft tissues and bones in a single view, thus reducing cognitive effort on the part of the surgeon.
Program
Research Tools and Instruments - Category 1 (<$150,000)
Location
Quebec, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
345673-2007
Name nom
Cheriet, Farida
Department département
Génie informatique
Organization id
64
Institution établissement
École Polytechnique de Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2006
Competition year année de concours
2007
Award amount
137165
Program id
EQPEQ
Program name en
Research Tools and Instruments - Category 1 (<$150,000)
Program name fr
Outils et instruments de recherche - catégorie 1 (<150 000$)
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
335
Committee name en
Electromag. & Electr. Systems (H)
Committee name fr
Électromagn. et syst. électr. (H)
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
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Partie
1
Nb partie
1
Application title
Non invasive equipment for multimodal image fusion
Keyword
NA
Application summary
Advances in video imaging have played a key role in bringing forth the widespread use of Minimally Invasive Surgery (MIS) in a variety of procedures such as cardiology, neurosurgery, orthopaedics, urology and oncology. However, the inherent difficulties of MIS techniques have traditionally imposed limitations on their applicability. Reduced instrumental control and freedom, combined with unusual hand-to-eye coordination and limited view of the operating field, enforce restrictions on the surgeon and require considerable dexterity and skill. On the other hand, these procedures entail several benefits for the patient and the healthcare system: smaller incisions, minimal blood loss, preservation of normal tissue, reduced pain, and shortened recovery and rehabilitation times. To help make the MIS techniques easier to apply and learn, and by the same token to facilitate their more widespread use, an enhanced reality surgical system to restore depth and context information would be useful. The challenges involved in realizing this goal are related to the realism of data visualization, the robust reconstruction of patient-specific models and the registration between different imaging modalities. Furthermore, the focus of recent research has been the development of more accurate and less invasive methods for the registration of preoperative models to intra-operative models of the patient in the operating room. Therefore, ultrasound has been chosen as a non-invasive alternative for localizing bone and other surfaces in the operating room.  The requested equipment will allow us to investigate new approaches to ensure accurate registration of patient data from different modalities, which is a prerequisite for intra-operative assistance.  3D pre-operative models of the spine obtained from MRI volumetric data and surface data from ultrasound will be combined with intra-operative 2D thoracoscopic images. This multimodal image fusion framework will provide complementary visual information including soft tissues and bones in a single view, thus reducing cognitive effort on the part of the surgeon.