This article reviews the requirements for successful compressed sensing (CS), describes
their natural fit to MRI, and gives examples of four interesting applications of CS in MRI. The …

Fast imaging methods and the availability of required hardware for magnetic resonance
tomography (MRT) have significantly reduced acquisition times from about an hour down to …

The sparsity which is implicit in MR images is exploited to significantly undersample k‐
space. Some MR images such as angiograms are already sparse in the pixel …

Echo planar imaging (EPI) is an MRI technique of particular value to neuroscience, with its
use for virtually all functional MRI (fMRI) and diffusion imaging of fiber connections in the …

Dynamic images of natural objects exhibit significant correlations in k‐space and time. Thus,
it is feasible to acquire only a reduced amount of data and recover the missing portion …

A model‐based dynamic MRI called k‐t BLAST/SENSE has drawn significant attention from
the MR imaging community because of its improved spatio‐temporal resolution. Recently …

Recent theoretical advances in the field of compressive sampling—also referred to as
compressed sensing (CS)—hold considerable promise for practical applications in MRI, but …

Spatiotemporal imaging, including both dynamic imaging and spectroscopic imaging, has a
wide range of applications from functional neuroimaging, cardiac imaging to metabolic …

The desire to visualize noninvasively physiological processes at high temporal resolution
has been a driving force for the development of MRI since its inception in 1973. In this …

The method for phased array image reconstruction of uniform noise images may be used in
conjunction with proper image scaling as a means of reconstructing images directly in SNR …