Sparse MRI: The application of compressed sensing for rapid MR imaging
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Summary
Practical incoherent undersampling schemes are developed and analyzed by means of their aliasing interference and demonstrate improved spatial resolution and accelerated acquisition for multislice fast spin‐echo brain imaging and 3D contrast enhanced angiography.
- Type
- article
- Published
- 2007-12-01
- Cited by
- 7,515
- References
- 41
- Access
- Open access
- OpenAlex
- https://openalex.org/W2101675075
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15370510
Keywords
Undersampling, Compressed sensing, Sparse approximation, Computer science, Artificial intelligence
References
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- Reduced aliasing artifacts using variable‐density k‐space sampling trajectories
- Extensions of compressed sensing
- Coordinate and subspace optimization methods for linear least squares with non-quadratic regularization
- Atomic Decomposition by Basis Pursuit
- Breakdown of equivalence between the minimal l1-norm solution and the sparsest solution
- Time‐resolved contrast‐enhanced imaging with isotropic resolution and broad coverage using an undersampled 3D projection trajectory
- Single breath‐hold whole‐heart MRA using variable‐density spirals at 3t
- Nonuniform Phase-Encode Distributions for MRI Scan Time Reduction
- Accelerated acquisition of high resolution triple-resonance spectra using non-uniform sampling and maximum entropy reconstruction.
- Undersampled projection reconstruction applied to MR angiography
- Stable recovery of sparse overcomplete representations in the presence of noise
- Reconstruction in diffraction ultrasound tomography using nonuniform FFT
- Quantitative evaluation of several partial fourier reconstruction algorithms used in mri
- Nonlinear total variation based noise removal algorithms
- Projection reconstruction MR imaging using FOCUSS
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- JPEG2000 - image compression fundamentals, standards and practice
- Unaliasing by Fourier‐encoding the overlaps using the temporal dimension (UNFOLD), applied to cardiac imaging and fMRI
- An Efficient Method for Compressed Sensing
Cited by
- Fast Segmented Reconstruction Technique for Magnetic Resonance Imaging under B0 Inhomogeneity
- MRI技術の最近のトレンド（第3回）MRI画像再構成技術
- Modeling and Development of Iterative Reconstruction Algorithms in Emerging X-ray Imaging Technologies
- A Variational Approach to Planning, Allocation and Mapping in Robot Swarms using Infinite Dimensional Models
- Non-Cartesian Parallel Image Reconstruction for Functional MRI
- Compressed sensing parallel Magnetic Resonance Imaging
- Parallel Reconstruction Using Null Operations (PRUNO)
- Motion compensated generalized reconstruction for free‐breathing dynamic contrast‐enhanced MRI
- (Compressed) sensing and sensibility
- Time-Resolved Interventional Cardiac C-arm Cone-Beam CT: An Application of the PICCS Algorithm
- Compressive sensing could accelerate 1H MR metabolic imaging in the clinic.
- Application of compressed sensing to multidimensional spectroscopic imaging in human prostate
- ADAPTIVE RETROSPECTIVE CORRECTION OF MOTION ARTIFACTS IN CRANIAL MRI WITH MULTI-COIL 3D RADIAL ACQUISITIONS
- Motion corrected compressed sensing for free‐breathing dynamic cardiac MRI
- Faster imaging with a portable unilateral NMR device.
- Synthetic Aperture Radar Tomography - Compressed Sensing Models and Algorithms
- Compressed sensing based virtual-detector photoacoustic microscopy in vivo
- Incorporating reference in parallel imaging and compressed sensing
- Technological advances in neuroimaging: neurosurgical applications for the future.
- Enhancement of the low resolution image quality using randomly sampled data for multi-slice MR imaging.
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