Self-calibrated radial sampling parallel imaging reconstruction with iterative k-x estimation

We propose an iterative k-x method to estimate weights to reconstruct missing radial sampling k-space data points using individually reconstructed coil images from the under-sampled data directly. Once missing k-space data were estimated, individually reconstructed coil images used in the last estimation were replaced by coil images in this reconstruction for the next iteration. Our method can successfully reconstruct human brain images with 2 mm spatial resolution and minimal streaking artifacts using 22 radial projections at 3T using a 32-channel head coil array.

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.

Click here for more information on becoming a member.