Reference number : GC-2017-Q2-00473, amendment number : , agreement type : G, recipient legal name : Anand, Christopher (McMaster University), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Plus Grants for Universities, program name french : Subvention d'engagement partenarial Plus pour les universités, program purpose english : Synaptive Medical is a medical device and software technology company based in Toronto, focused on_x000D_
providing imaging solutions to enhance neurosurgical procedures. Synaptive Medical is focused on_x000D_
incorporation of novel magnetic resonance imaging technologies into specific neurosurgical procedures to_x000D_
facilitate tumor detection and resection, guidance of neuro-stimulation devices for degenerative diseases and_x000D_
intervention for stroke and trauma. By increasing the efficiency of MRI experiments, we can reduce the cost_x000D_
per diagnosis, and reduce the time spend in the magnet by patients. MRI devices require very flexible software,_x000D_
capable of producing many different types of images, and even quantitative information, like the volume of_x000D_
blood flowing through an artery._x000D_
In this project, we will be optimizing one aspect of MRI software called gradient waveforms, which among_x000D_
other things determine the positioning and resolution of the images. Rather than designing generic waveforms,_x000D_
and accepting that the effective waveform will vary from the design and from machines to machine, we_x000D_
propose to design waveforms at the highest level of performance available to each specific machine, and in_x000D_
some cases, for each location of the imaging slice within the possible imaging volume. The main problems we_x000D_
will be avoiding are the distortion of the gradient caused by the limited capabilities of the amplifiers which_x000D_
drive current through the specially-shaped conductors called gradient coils, and the unwanted noise caused as a_x000D_
side effect._x000D_
Under a previous ENGAGE award, we were able to substantially solve this problem for the case of_x000D_
Echo-Planar Imaging (EPI). During the ENGAGE Plus, we hope to extend those results to Fast Spin Echo_x000D_
(FSE) and Steady-State Free Precession (SSFP) experiments., program purpose french : Synaptive Medical is a medical device and software technology company based in Toronto, focused on_x000D_
providing imaging solutions to enhance neurosurgical procedures. Synaptive Medical is focused on_x000D_
incorporation of novel magnetic resonance imaging technologies into specific neurosurgical procedures to_x000D_
facilitate tumor detection and resection, guidance of neuro-stimulation devices for degenerative diseases and_x000D_
intervention for stroke and trauma. By increasing the efficiency of MRI experiments, we can reduce the cost_x000D_
per diagnosis, and reduce the time spend in the magnet by patients. MRI devices require very flexible software,_x000D_
capable of producing many different types of images, and even quantitative information, like the volume of_x000D_
blood flowing through an artery._x000D_
In this project, we will be optimizing one aspect of MRI software called gradient waveforms, which among_x000D_
other things determine the positioning and resolution of the images. Rather than designing generic waveforms,_x000D_
and accepting that the effective waveform will vary from the design and from machines to machine, we_x000D_
propose to design waveforms at the highest level of performance available to each specific machine, and in_x000D_
some cases, for each location of the imaging slice within the possible imaging volume. The main problems we_x000D_
will be avoiding are the distortion of the gradient caused by the limited capabilities of the amplifiers which_x000D_
drive current through the specially-shaped conductors called gradient coils, and the unwanted noise caused as a_x000D_
side effect._x000D_
Under a previous ENGAGE award, we were able to substantially solve this problem for the case of_x000D_
Echo-Planar Imaging (EPI). During the ENGAGE Plus, we hope to extend those results to Fast Spin Echo_x000D_
(FSE) and Steady-State Free Precession (SSFP) experiments., agreement title english : Optimal Bandwidth-Limited Gradient Waveform Design (continued), agreement title french : Optimal Bandwidth-Limited Gradient Waveform Design (continued), agreement number : EGP2, agreement value : 12500.0, agreement start date : 2017-08-23, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada