This work aims at reconstructing the undersampled non-Cartesian k-space signals by generating a cloud of randomly located additional points through GRAPPA Operator Gridding (GROG) facilitated Bunch Phase Encoding (BPE) collectively termed as GROG-BPE scheme. Gridding of this data is performed onto a Cartesian grid. Inherent randomness in the gridded BPE data is exploited using Compressed Sensing (CS) to obtain the solution image at higher acceleration factors and the results are compared with conventional CG-INNG method. Every step in the proposed method (right from BPE generation to reconstruction) is self-calibrating and does not require additional calibration signals.
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