Unaliasing by Fourier‐encoding the overlaps using the temporal dimension (UNFOLD), applied to cardiac imaging and fMRI

Optimizing Cardiac MR Imaging: Practical Remedies for Artifacts

“…The most recent advances in the field of parallel imaging are dynamic parallel acquisitions in the time domain with the use of a time-domain SENSE or time-domain GRAPPA sequence. These techniques help significantly improve the performance of cine and dynamic cardiovascular imaging while maintaining a sufficient SNR (36)(37)(38). Because these techniques incorporate a low-pass temporal filter, they are tolerant of coil and body motion and may help suppress residual aliasing artifacts due to errors in coil sensitivity estimates (Fig 10c).…”

“…The goal of MR imaging of myocardial perfusion is to depict with high spatial and temporal resolution the first pass of intravenous contrast material through the myocardium (6)(7)(8)37). MR perfusion Regardless of their cause, the artifacts are ameliorated by higher spatial resolution.…”

Constrained magnetic resonance image reconstruction from incomplete frequency measurements

“…Instead, matrix inversion was circumvented using a conjugate gradient method, which in return sacrifices the computational efficiency. In the k-t FOCUSS journal paper [33], the authors discussed the superiority of CS-based methods over non-CS based methods, for instance UNFOLD [83], k-t BLAST and k-t SENSE [84] in terms of reconstruction accuracy. There are also methods which combines UNFOLD with parallel MRI reconstruction techniques such as UNFOLD-SENSE [85], UNFOLD-SMASH [86].…”

Novel dictionary learning algorithm for accelerating multi-dimensional MRI applications

“…The linear models like DIME [11], UNFOLD [12,13] and k-t BLAST [14] represent the signal as a linear combination of few exponential temporal basis functions.…”