Abstract #3199

Recovering phase from homodyne filtered phase data using a residual dense network

Christian Kames^1,2, Jonathan Doucette^1,2, and Alexander Rauscher^1,2,3

¹Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, ²UBC MRI Research Centre, University of British Columbia, Vancouver, BC, Canada, ³Department of Pediatrics, University of British Columbia, Vancouver, BC, Canada

In this work we train a residual dense network to recover homodyne filtered phase data. The proposed approach is able to accurately recover phase information. Susceptibility maps computed from the recovered phase yield the same accuracy as susceptibility maps computed from the original phase when compared to COSMOS.

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