Grant: Discovery Grants Program - Individual
Saint Mary's University
$14,000.00
Development of Computer Vision Algorithms for Multi-Resolution Texture Analysis to Aid in Tissue Identification and the Segmentation of Medical Images
EF 2013-14
Résumé
Epilepsy is defined as recurrent seizures and is one of the most common neurological conditions. One in ten people will experience a seizure at some time during their life with one in one hundred people being affected by epilepsy. Improvement in the diagnosis and treatment of this condition will have significant impact on the quality of life of a large portion of the population. Currently epilepsy is diagnosed using magnetic resonance imaging (MRI) of the brain. However, some lesions that are characteristic of epilepsy are difficult to detect with a simple visual inspection of these images by a radiologist. The goal of this research is to develop automated software tools that will help physicians extract the relevant diagnostic information from MRI images. In particular, to develop an automated technique for the identification and characterization of tissue types in the brain based on multi-resolution texture analysis so that ultimately healthy tissue can be reliably distinguished from unhealthy tissue. The computer vision techniques and tools that are developed will aid in the diagnosis and treatment of epilepsy.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Nova Scotia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
238766-2012
Name nom
Linney, Norma
Department département
Mathematics and Computing Science
Organization id
85
Institution établissement
Saint Mary's University
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2013
Competition year année de concours
2012
Award amount
14000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1507
Committee name en
Computer Science
Committee name fr
Sciences informatiques
Area of application code
1101
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
Human health (including medically-related psychological research)
Area of application fr
Santé publique (y compris recherche psychologique liée à la médecine)
Research subject code
2603
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Computer vision
Research subject fr
Vision artificielle
Partie
2
Nb partie
3
Application title
Development of Computer Vision Algorithms for Multi-Resolution Texture Analysis to Aid in Tissue Identification and the Segmentation of Medical Images
Keyword
NSERC
Application summary
Epilepsy is defined as recurrent seizures and is one of the most common neurological conditions. One in ten people will experience a seizure at some time during their life with one in one hundred people being affected by epilepsy. Improvement in the diagnosis and treatment of this condition will have significant impact on the quality of life of a large portion of the population. Currently epilepsy is diagnosed using magnetic resonance imaging (MRI) of the brain. However, some lesions that are characteristic of epilepsy are difficult to detect with a simple visual inspection of these images by a radiologist. The goal of this research is to develop automated software tools that will help physicians extract the relevant diagnostic information from MRI images. In particular, to develop an automated technique for the identification and characterization of tissue types in the brain based on multi-resolution texture analysis so that ultimately healthy tissue can be reliably distinguished from unhealthy tissue. The computer vision techniques and tools that are developed will aid in the diagnosis and treatment of epilepsy.