Meeting Banner
Abstract #3199

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

Christian Kames1,2, Jonathan Doucette1,2, and Alexander Rauscher1,2,3
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.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here