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Grant: Discovery Grants Program - Individual

Saint Mary's University

$10,000.00

Development of computer vision algorithms for tissue identification and segmentation in medical ultrasound images

FY 2007-08

Summary
Ultrasound is one of the more patient friendly medical imaging modalities. It is the modality of choice for infants as the equipment can be brought to the bassinette or incubator and administered with minimal disturbance or side effects to the infant. Similarly the equipment can easily be brought to adult patients and the procedure is well tolerated by the extremely ill. However, ultrasound images contain speckle and noise making the extraction of diagnostic information from these images more challenging than for other imaging modalities. The goal of this research project is to develop automated software tools that will help the physician extract relevant diagnostic information from these ultrasound images. In particular to develop an automated technique for the identification and characterization of tissue types so that ultimately healthy tissue can be reliably distinguished from unhealthy tissue. Improving the viability of using a more patient friendly imaging modality while still achieving the same or better clinical results will have a significant impact on patient health and health care costs.
Program
Discovery Grants Program - Individual
Location
Nova Scotia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
238766-2006
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
2007
Competition year année de concours
2006
Award amount
10000
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
331
Committee name en
Computing and Information Sciences - B
Committee name fr
Informatique - B
Area of application code
1211
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Medical and health sciences
Area of application fr
Sciences médicales et de la santé
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
5
Application title
Development of computer vision algorithms for tissue identification and segmentation in medical ultrasound images
Keyword
NA
Application summary
Ultrasound is one of the more patient friendly medical imaging modalities. It is the modality of choice for infants as the equipment can be brought to the bassinette or incubator and administered with minimal disturbance or side effects to the infant. Similarly the equipment can easily be brought to adult patients and the procedure is well tolerated by the extremely ill. However, ultrasound images contain speckle and noise making the extraction of diagnostic information from these images more challenging than for other imaging modalities. The goal of this research project is to develop automated software tools that will help the physician extract relevant diagnostic information from these ultrasound images. In particular to develop an automated technique for the identification and characterization of tissue types so that ultimately healthy tissue can be reliably distinguished from unhealthy tissue. Improving the viability of using a more patient friendly imaging modality while still achieving the same or better clinical results will have a significant impact on patient health and health care costs.