Project Details
Description
This project addresses technical challenges to increase global access to an important human brain imaging technology. MEG is a non-invasive brain scanner that identifies brain networks involved in function and assists in pre-surgical planning for patients with epilepsy and brain tumours. However, MEG is expensive for hospitals and research centres because of the large footprint and material costs for magnetic shielding. Our new MEG imaging platform (available at Dalhousie and University of Colorado Boulder; CUB) works in a much smaller shield, which increases accessibility by reducing shield and space costs. However, the smaller shield causes distortions in the background magnetic field leading to noisier data. We have developed apparatus and methods to reliably map field distortions, and our partners at UCB have developed apparatus to compensate field distortions. In this project, we will combine our capabilities and integrate our field mapping process with the equipment at CUB, develop an algorithm to minimize the field distortions, and test the effect of optimized compensation on the quality of MEG data. If successful, the primary outcome will be a shielded environment that is ideal for world leading, low-cost MEG neuroimaging. The impact will be an increase in global access to high quality MEG research and care.
Status | Active |
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Effective start/end date | 1/1/23 → … |
Funding
- Natural Sciences and Engineering Research Council of Canada: US$18,518.00
ASJC Scopus Subject Areas
- Neuroscience(all)
- Physics and Astronomy(all)
- Chemistry(all)
- Agricultural and Biological Sciences(all)
- Engineering(all)
- Management of Technology and Innovation