Compressed sensing for body MRI

  title={Compressed sensing for body MRI},
  author={Li Feng and Thomas Benkert and Kai Tobias Block and Daniel K. Sodickson and Ricardo Otazo and Hersh Chandarana},
  journal={Journal of Magnetic Resonance Imaging},
The introduction of compressed sensing for increasing imaging speed in magnetic resonance imaging (MRI) has raised significant interest among researchers and clinicians, and has initiated a large body of research across multiple clinical applications over the last decade. Compressed sensing aims to reconstruct unaliased images from fewer measurements than are traditionally required in MRI by exploiting image compressibility or sparsity. Moreover, appropriate combinations of compressed sensing… 

Compressed sensing techniques for accelerated magnetic resonance imaging

COMPRESSED SENSING TECHNIQUES FOR ACCELERATED MAGNETIC RESONANCE IMAGING Efe Ilıcak M.S. in Electrical and Electronics Engineering Advisor: Tolga Çukur July 2017 Magnetic resonance imaging has seen a

Implementation of Compressed Sensing for MR Imaging

  • D. Tamada
  • Medicine
    Japanese Journal of Magnetic Resonance in Medicine
  • 2018
An overview of the implementation of compressed sensing on clinical scanners, including trajectories, reconstruction schemes, and algorithms, and Clinically available applications that use compressed sensing techniques in clinical scanners are introduced.

Rapid compositional mapping of knee cartilage with compressed sensing MRI

The current state of the art of CS methods for rapid compositional mapping of knee cartilage, including data acquisition strategies, image reconstruction algorithms, and data fitting models are discussed.

Compressed sensing MRI with variable density averaging (CS-VDA) outperforms full sampling at low SNR

Comp compressed sensing with variable-density averaging (CS-VDA) with a higher number of averages in the center of k-space resulted in the best image quality, apparent from increased anatomical detail with preserved soft-tissue contrast.

Compressed-sensing accelerated 4D flow MRI of cerebrospinal fluid dynamics

A quantitative analysis of acceleration factors CSE4–10 showed that CSE with an acceleration factor up to 6 is feasible and enables the acquisition and analysis of the CSF flow dynamics surrounding the entire spinal cord within a clinically acceptable scan time.

Evaluation of compressed sensing MRI for accelerated bowel motility imaging

Compared to SENSE, current implementation of CS-PI performed less or equally good in terms of image quality and diagnostic quality and did not show advantages over SENSE for three-dimensional bowel motility imaging.

Rapid Imaging: Recent Advances in Abdominal MRI for Reducing Acquisition Time and Its Clinical Applications

Magnetic resonance imaging (MRI) plays an important role in abdominal imaging. The high contrast resolution offered by MRI provides better lesion detection and its capacity to provide multiparametric

Compressed sensing MRI of different organs: ready for clinical daily practice?

Clinical implementation of compressed sensing (CS) reduced scan times of at least 30% with only minor penalty in image quality and no change in diagnostic findings and is ready to be used in clinical daily practice except for the elbow application which requires a lower acceleration.

Compressed sensing in fluorescence microscopy.




Compressed sensing MRI: a review of the clinical literature.

Compressed sensing (CS) is a method for accelerating MRI acquisition by acquiring less data through undersampling of k-space, which has the potential to mitigate the time-intensiveness of MRI.

Compressed sensing in dynamic MRI

Given sufficient data sparsity and base signal‐to‐noise ratio (SNR), CS is demonstrated to result in improved temporal fidelity compared to k‐t BLAST reconstructions for the example data sets used in this work.

Distributed Compressed Sensing for Accelerated MRI

This work presents a greedy reconstruction algorithm that takes advantage of both intraand inter-coil correlations, and assess its performance with respect to the number of coils.

Accelerating SENSE using compressed sensing

A novel method to combine sensitivity encoding (SENSE), one of the standard methods for parallel MRI, and compressed sensing for rapid MR imaging (SparseMRI), a recently proposed method for applying CS in MR imaging with Cartesian trajectories is proposed.

Combination of compressed sensing and parallel imaging for highly accelerated first‐pass cardiac perfusion MRI

Comp compressed sensing and parallel imaging are combined by merging the k‐t SPARSE technique with sensitivity encoding (SENSE) reconstruction to substantially increase the acceleration rate for perfusion imaging and a new theoretical framework is presented for understanding the combination of k-t SParSE with SENSE based on distributed compressed sensing theory.

Sparsesense: Application of compressed sensing in parallel MRI

  • Bo LiuY. ZouL. Ying
  • Computer Science
    2008 International Conference on Information Technology and Applications in Biomedicine
  • 2008
The sampling scheme for incoherence is discussed and reconstruction method using Begman iteration is proposed, and the combined method, named SparseSENSE, can achieve a reduction factor higher than the number of channels.

Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients

Clinical results showing higher quality reconstruction and better diagnostic confidence than parallel imaging alone at accelerations on the order of number of coils and an on-line parallelized implementation of ℓ1-SPIRiT on multi-core CPU and General Purpose Graphics Processors that achieves sub-minute 3D reconstructions with 8-channels.

Sparse MRI: The application of compressed sensing for rapid MR imaging

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.

SENSE: Sensitivity encoding for fast MRI

The problem of image reconstruction from sensitivity encoded data is formulated in a general fashion and solved for arbitrary coil configurations and k‐space sampling patterns and special attention is given to the currently most practical case, namely, sampling a common Cartesian grid with reduced density.

SPIR-iT : Autocalibrating Parallel Imaging Compressed Sensing

A detailed approach on synergistically combining auto-calibrating parallel imaging (acPI) with compressed sensing (CS) with an iterative GRAPPA-like approach described in detail in [7,17], which enforces self-consistency with the calibration and data acquisition and enforce the sparsity of the reconstruction.