We propose a method for correcting gradient artefacts in simultaneous EEG-FMRI that are variable from shot-to-shot, where artefacts cannot be identified via averaging. The artefact model is extracted from a data-driven decomposition that identifies the signal contributions which show geometric variation matching that of the trajectory rotation model. We show that this correction, applied to a rotating EPI trajectory, works just as well as standard approaches applied to conventionally sampled (non-rotating) EPI data. This will allow the use of more flexible sampling approaches in simultaneous EEG/FMRI that facilitate highly accelerated dynamic image reconstruction.
How to access this content:
For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.
After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.
After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.
Keywords