Fig. 2
XD-ORCCA reconstruction: Low-resolution 2D iNAVs are acquired at every heartbeat and used to estimate beat-to-beat 2D translational respiratory motion along the superior-inferior (SI) and left–right (LR) directions. a The estimated SI motion information is used to separate the T2Prep-IR BOOST and T2Prep BOOST datasets into five different respiratory phases (or bins) each. b Moreover, 2D translational motion correction within each bin is performed in k-space before reconstruction to minimize intra-bin motion. In this step, data within each bin are corrected to the corresponding average bin position. c Finally, during image reconstruction, intra-bin motion-corrected images (xb) are aligned to a reference respiratory position (end-expiration) using the 2D translational motion information (Tb), in order to increase the sparsity in the respiratory dimension and d generate high-quality motion-compensated respiratory-resolved images