Projection–reconstruction reduces FOV imaging

Reduced field-of-view (rFOV) imaging was introduced recently as a rapid imaging technique that improves temporal resolution while maintaining spatial resolution. It is based on undersampling in k-space and utilizes the fact that the dynamics of an evolving process are often confined to a local area within the full FOV. In the work presented here the reduced FOV approach is applied to projection-reconstruction MRI and compared to the original spin-warp implementation. Results are presented that clearly demonstrate the increased robustness of the projection-reconstruction version of rFOV imaging. The technique is successfully applied to an MR-guided biopsy scenario (ex-vivo) and to cine cardiac imaging. Finally an algorithm is proposed that uses the intrinsic advantages of radial k-space sampling to evaluate the projection data to control the adjustment of position and size of the reduced FOV window.