Cardiac cine with ART for radial parallel imaging reconstruction

Shu Li,Gigi Galiana,Jason P Stockmann,Sebastian Kozerke,Dana C Peters,Rt Constable,Leo Tam

doi:10.1186/1532-429x-15-s1-e34

Abstract

Background It was noted early-on that non-Cartesian parallel imaging is achievable by solving the k-space data consistency equation, with inclusion of coil sensitivity profiles [1]. This iterative method which uses gridding is successful [2,3], as is radial GRAPPA [4]. Here we present the first results of algebraic reconstruction technique (ART) [5,6] which also enforces data consistency. The use of ART with coil-map constraints for radial MRI reconstruction has only recently been described [5] and has not been explored for clinical applications.

Highlights

It was noted early-on that non-Cartesian parallel imaging is achievable by solving the k-space data consistency equation, with inclusion of coil sensitivity profiles [1]
Short axis cardiac cine data were acquired on a 1.5T Siemens Sonata (Erlangen, Germany), using segmented breath-held 2D radial balanced SSFP with 192 readout points
In the iterative algebraic reconstruction technique (ART) method [5] each k-space data point is processed, so that the difference between the predicted value, based on the encoding matrix and the current image estimate, and the actual k-space data point value is inverse encoded and this residual is added to the current image estimate, weighted by l

Summary

Introduction

It was noted early-on that non-Cartesian parallel imaging is achievable by solving the k-space data consistency equation, with inclusion of coil sensitivity profiles [1]. Methods Short axis cardiac cine data were acquired on a 1.5T Siemens Sonata (Erlangen, Germany), using segmented breath-held 2D radial balanced SSFP with 192 readout points. TR/TE/θ= 2.9/1.5/60°, 36 cm FOV, 930 Hz/pixel, and 4-5 coils.

Results

Conclusion