Table 4.
Comparison of fast acquisition methods
Method | Spatio-temporal acceleration | Calibration / ACS | Optimization |
---|---|---|---|
SENSE | No | Required | L2 |
GRAPPA | No | Required | L2 |
TSENSE | Serial | No | L2 |
TGRAPPA | No | No | L2 |
k-t BLAST/SENSE | Joint | Required | L2 |
k-t GRAPPA | Joint | Required | L2 |
k-t PCA | Joint | Required | L2, PCA |
CS (+PI) | Implementation-dependent | No | L0/L1, iterative |
LRM (+ PI/CS) | Joint | No | nuclear norm, iterative |
Proposed method | Joint | No | L2 |
Spatiotemporal PI methods enable both spatial and temporal acceleration with non-iterative solvers. ACS, autocalibration signals; BLAST, broad-use linear acquisition speed-up technique; CS, compressed sensing; GRAPPA, GRAPPA, generalized autocalibrating partially parallel acquisitions; LRM, low-rank model; PCA, pontocerebellar angle; PI, parallel imaging; SENSE, sensitivity encoding; TGRAPPA, temporal GRAPPA; TSENSE, encoding incorporating temporal filtering.