Meeting Banner
Abstract #3618

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

Yi-Cheng Hsu 1 , Ying-Hua Chu 1 , and Fa-Hsuan Lin 1

1 Institute of Biomedical Engineering, National Taiwan University, Taipei, Taiwan

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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here