A transverse slice of the CT volume compared with the corresponding slice acquired using a conventional GRE pulse sequence and WASPI. The signal intensity of the bone in the WASPI sequence is similar to the corresponding CT HU values. Note that the phantom is in a glass container, which has no MR signal but high HU values
Tagged MR images reconstructed from (a) fully sampled tMR data, and accelerated tMR data with various AFs using (b-d) PI and (e-g) CS.
Reconstructed non-human primate images and line profiles. a) (top row) Axial, (middle row) coronal and (bottom row) sagittal slices of the image volume reconstructed using MC and nMC reconstruction from the same data set with introduced motion compared with the corresponding slices from the static reference image. b) Profiles along the dotted line in top left panel of a) from MC and nMC image volumes compared with the reference image.
In vivo brain T2, B1 maps obtained from radial FSE data acquired with 180 degree and 120 degree RFA and the pattern recognition technique based on the nSEPG model. The corresponding difference with respect to T2 and B1 maps obtained using the iNLLS technique are also shown.
The CURLIE reconstruction combined with SEPG fitting enables accurate T2 estimation from highly undersampled multi-echo spin-echo radial data thus, yielding a fast T2 mapping method without errors caused by indirect echoes.
This novel approach linearizes the cost function of the optimization problem yielding a more accurate and reliable estimation of MR parameter maps. The proposed algorithm - reconstruction of principal component coefficient maps using compressed sensing - is demonstrated in phantoms and in vivo and compared with two other algorithms previously developed for undersampled data