SMASH, SENSE, PILS, GRAPPA: How to Choose the Optimal Method

@article{Blaimer2004SMASHSP,
  title={SMASH, SENSE, PILS, GRAPPA: How to Choose the Optimal Method},
  author={Martin Blaimer and Felix Breuer and Matthias F. Mueller and Robin M. Heidemann and Mark A. Griswold and Peter M. Jakob},
  journal={Topics in Magnetic Resonance Imaging},
  year={2004},
  volume={15},
  pages={223-236}
}
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 several minutes or seconds. With this development over the last 20 years, magnetic resonance imaging (MRI) has become one of the most important instruments in clinical diagnosis. In recent years, the greatest progress in further increasing imaging speed has been the development of parallel MRI (pMRI). Within the last 3… 
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417 Citations
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417 Citations

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Comparison of Parallel Magnetic Resonance Imaging Algorithms: PILS and SENSE
TLDR
Comparison of the widely used parallel imaging algorithms such as Partially Parallel Imaging With Localized Sensitivities (PILS), and Sensitivity Encoding (SENSE) and evaluation of advantages and disadvantages of these algorithms over each other were performed utilizing the numerical calculation software named MATLAB.
An Iterative Method for Parallel MRI SENSE-based Reconstruction in the Wavelet Domain
To reduce scanning time and/or improve spatial/temporal resolution in some MRI applications, parallel MRI (pMRI) acquisition techniques with multiple coils acquisition have emerged since the early…
Comparison of the main magnetic resonance imaging acceleration strategies based on parallel imaging techniques
TLDR
All methods arrived to its acceleration factor theoretical limit with images without noise but only those methods that depend on a matrix reconstruction inversion (SENSE and SPACE-RIP) did not arrive to the theoretical limit for noisy images due to its instability problems.
Optimization of duty cycles in magnetic resonance imaging systems
TLDR
A new approach to reduce the examination time of MRI systems is described, which proposes that the examination can be divided into small segments that are rescheduled in such a way that the adverse effects of duty cycle limited scans are reduced by non-limited scans.
Comparison of image reconstruction algorithms on parallel MRI
  • M. Huang
  • Mathematics
    International Symposium on Multispectral Image Processing and Pattern Recognition
  • 2007
Parallel magnetic resonance imaging has emerged as an effective means to reduce scan time for high-speed MRI. We made comparison on four different image reconstruction algorithms of SMASH, GRAPPA,…
Fast methods for Magnetic Resonance Angiography (MRA)
TLDR
It is proposed to use the statistical principle as employed for the modified maximum intensity projection (MIP) to achieve better 3D segmentation and optimal visualization of blood vessels.
Perspectives and limitations of parallel MR imaging at high field strengths.
A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging
A Multistage Parallel Magnetic Resonance Image Reconstruction Method
TLDR
This paper provides a new reconstruction method for parallel MRI that improves the resultant image quality and demonstrates the superiority of the SG algorithm through comparison to SENSE and GRAPPA applied to high-field, experimental MRI data.
Dynamic image and shape reconstruction in undersampled MRI
TLDR
The novel reconstruction approach can be used to form both shapes and images directly from measured data, avoiding some of the constraints of traditional methods, presenting both qualitative and quantitative results for further analysis by clinicians.
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References

SHOWING 1-10 OF 48 REFERENCES
SENSE: Sensitivity encoding for fast MRI
TLDR
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.
Minimizing Distortions and Blurring in Diffusion Weighted Single Shot EPI using High Performance Gradients in Combination with Parallel Imaging
TLDR
It is demonstrated that the problem of image distortion can be easily dealt with using a modified AUTO-SMASH reconstruction in combination with single shot EPI, which is then combined with DW-EPI on a high performance gradient system which results in diffusion weighted images with minimal distortions and blurring.
Generalized autocalibrating partially parallel acquisitions (GRAPPA)
TLDR
This technique, GeneRalized Autocalibrating Partially Parallel Acquisitions (GRAPPA) is an extension of both the PILS and VD‐AUTO‐SMASH reconstruction techniques and provides unaliased images from each component coil prior to image combination.
Tailored SMASH image reconstructions for robust in vivo parallel MR imaging
TLDR
The use of tailored fitting procedures, in combination with a numerical conditioning approach based on new observations about noise propagation in the fit, are shown to allow high‐quality SMASH image reconstructions in oblique and double‐oblique image planes, both in phantoms and in high‐resolution cardiac MR images.
Sensitivity profiles from an array of coils for encoding and reconstruction in parallel (SPACE RIP)
TLDR
A new parallel imaging technique was implemented which can result in reduced image acquisition times in MRI, and permits the arbitrary choice of the set of k‐space lines used in the reconstruction and lends itself to parallel reconstruction, hence allowing for real‐time rendering.
Partially parallel imaging with localized sensitivities (PILS)
TLDR
It is demonstrated that the incorporation of these coil parameters into a localized Fourier transform allows reconstruction of full FOV images in each of the component coils from data sets acquired with a reduced number of phase encoding steps compared to conventional imaging techniques.
Sensitivity encoded cardiac MRI.
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  • Physics
    Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
  • 2001
TLDR
The benefit of sensitivity encoding for cardiovascular MRI is studied and SENSE is applied to accelerate common breath-hold imaging as well as real-time imaging by factors up to 3.2.
Resolution enhancement in lung 1H imaging using parallel imaging methods
TLDR
This study used a HASTE sequence in combination with a partially parallel acquisition (PPA) strategy to increase the spatial resolution in single‐shot 1H lung imaging.
An investigation into the use of sensitivity‐encoded techniques to increase temporal resolution in dynamic contrast‐enhanced breast imaging
TLDR
This work performed sensitivity‐encoded imaging using a commercially available four‐channel breast coil on a commercial 0.5‐T scanner with moderate gradient performance to give increased temporal resolution in these dynamic contrast‐enhanced scans.
Direct parallel imaging reconstruction of radially sampled data using GRAPPA with relative shifts
TLDR
It is shown that missing projections from a projection reconstruction (PR) trajectory can directly reconstructed with a normal GRAPPA reconstruction when different weights are used along the read-out direction, and in many cases this process can be greatly simplified using a k-space reconstruction with relative shift operations.
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