Grant: Strategic Projects - Group
Simon Fraser University
$128,066.00
Visualization and extraction of Diagnostic Information from functional dynamic images
EF 2006-07
Résumé
This multidisciplinary research project proposes to develop a decision support system to assist medical personnel. The system will reconstruct, display and analyze dynamic nuclear medicine images. It will include iterative reconstruction of the dynamic data, real-time visualization of four-dimensional images, tools for parametric segmentation of the data and their quantitative analysis as well as novel user interfaces. The method will provide quantitatively accurate diagnostic information, yet be fast, simple, intuitive and practical. An innovative multidisciplinary research development environment will enable our partners to participate directly in the development of novel algorithms for reconstruction, feature extraction and visualization. This is a key feature of our system. This tight integration of the algorithms to be developed will enable information from the analysis stage to be fed back into the reconstruction stage, improving the overall result. This approach will provide the medical user with a simple and intuitive access to functional patient images acquired using standard clinical equipment and enhance their diagnostic power. Although our methods will be general and applicable to different dynamic clinical situations, the particular focus of this project is on cardiac and oncological applications of dynamic single photon emission computed tomography (SPECT) studies. We postulate that the use of temporal in addition to 3D spatial information will enhance diagnosis by allowing more accurate identification of myocardial perfusion defects and better separation of liver tissue overlapping that of the heart in SPECT images. This technique has the ability to bring many of the benefits of molecular imaging currently being utilized in the much more expensive and limited Positron Tomography centers to the level of the community hospital, extending the revolutionary breakthroughs in advanced imaging and biotechnology in cancer, neurology, and cardiac disease to thousands of additional Canadians. Our partners are Philips Medical Systems and Dynapix Intelligence Imaging.
Programme
Strategic Projects - Group
Bénéficiaire
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
322280-2005
Name nom
MËller, Torsten
Department département
Computing Science
Organization id
5
Institution établissement
Simon Fraser University
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2006
Competition year année de concours
2005
Award amount
128066
Program id
STPGP
Program name en
Strategic Projects - Group
Program name fr
Projets stratégiques - De groupe
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1005
Committee name en
Strategic Projects Selection Panel - Info & Communications Tech
Committee name fr
Comité de sélection des projets stratégiques - tech d'information et de communication
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
2707
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Graphics
Research subject fr
Infographie
Partie
2
Nb partie
3
Application title
Visualization and extraction of Diagnostic Information from functional dynamic images
Keyword
NA
Application summary
This multidisciplinary research project proposes to develop a decision support system to assist medical personnel. The system will reconstruct, display and analyze dynamic nuclear medicine images. It will include iterative reconstruction of the dynamic data, real-time visualization of four-dimensional images, tools for parametric segmentation of the data and their quantitative analysis as well as novel user interfaces. The method will provide quantitatively accurate diagnostic information, yet be fast, simple, intuitive and practical. An innovative multidisciplinary research development environment will enable our partners to participate directly in the development of novel algorithms for reconstruction, feature extraction and visualization. This is a key feature of our system. This tight integration of the algorithms to be developed will enable information from the analysis stage to be fed back into the reconstruction stage, improving the overall result. This approach will provide the medical user with a simple and intuitive access to functional patient images acquired using standard clinical equipment and enhance their diagnostic power. Although our methods will be general and applicable to different dynamic clinical situations, the particular focus of this project is on cardiac and oncological applications of dynamic single photon emission computed tomography (SPECT) studies. We postulate that the use of temporal in addition to 3D spatial information will enhance diagnosis by allowing more accurate identification of myocardial perfusion defects and better separation of liver tissue overlapping that of the heart in SPECT images. This technique has the ability to bring many of the benefits of molecular imaging currently being utilized in the much more expensive and limited Positron Tomography centers to the level of the community hospital, extending the revolutionary breakthroughs in advanced imaging and biotechnology in cancer, neurology, and cardiac disease to thousands of additional Canadians. Our partners are Philips Medical Systems and Dynapix Intelligence Imaging.