… slices for each k-space line through using a different phase modulated RF pulse for each
k-space line acquisition. For example, alternating the phase of every other k-space line’s …

… add to the linear encoding gradients and create k-space shifts that vary in space and time. …
Image reconstruction techniques will be implemented that can model spatially dependent k-…

… We address this by adding +ϕ/2 phase to even k y lines and -ϕ/2 phase to odd k y lines
before reconstruction. The key observation is that the phase error is the same in both the bottom …

… Both 3D and SMS acquisitions can be viewed as encoding data in 3D k-space rather than
2D k-space 39. This enables improvements in PI reconstruction, since data undersampling …

… With the standard slice-GRAPPA (Std-SG), the GRAPPA kernels are calculated by solving:(1)
arg min ki S i − A sc k i 2 where S i and k i are vectors of k-space signal and GRAPPA …

Sleep is essential for both cognition and maintenance of healthy brain function. Slow waves
in neural activity contribute to memory consolidation, whereas cerebrospinal fluid (CSF) …

… each k-space line. For example if alternating 180 phase shifts are applied to successive k y
lines … diffusion imaging applications since only a single RF pulse is employed for all k y lines. …

… The most memory efficient method is to apply the kernels in k-space. This can be done by
forming new 2D convolution matrices and performing the matrix-vector multiplication shown in (…

… Now taking the inverse Fourier transform over k y and k z , we switch to the hybrid space …
-Cartesian k-space data to the underlying image via the relation E i = k . Here, k is the vector of k-…

… This is to be expected, because the spokes trajectory, which is just a few delta points in k
x -k y , allows for much less control of the in-plane excitation profile when compared with the …