Field‐of‐view limitations in parallel imaging

  title={Field‐of‐view limitations in parallel imaging},
  author={Mark A. Griswold and Stephan A. R. Kannengiesser and Robin M. Heidemann and Jianmin Wang and Peter M. Jakob},
  journal={Magnetic Resonance in Medicine},
Parallel imaging is one of the most promising developments in recent years for the acceleration of MR acquisitions. One area of practical importance where different parallel imaging methods perform differently is the manner in which they deal with aliasing in the full‐FOV reconstructed image. It has been reported that sensitivity encoding (SENSE) reconstruction fails whenever the reconstructed FOV is smaller than the object being imaged. On the other hand, generalized autocalibrating partially… 

Parallel MR imaging

The advantages of parallel imaging in a clinical setting include faster image acquisition, which can be used, for instance, to shorten breath‐hold times resulting in fewer motion‐corrupted examinations and recent advancements and promising research in parallel imaging are briefly reviewed.

Regionally Optimized Reconstruction for Partially Parallel Imaging in MRI Applications

It was demonstrated in these experiments that the overall image quality using this regionally optimized reconstruction is better than that using the conventional SENSE or GRAPPA.

Recent advances in parallel imaging for MRI.

Continuously moving table MRI with SENSE: Application in peripheral contrast enhanced MR angiography

An integration of SENSitivity Encoding with continuously moving table (CMT) MRI for extended field‐of‐view (FOV) acquisitions is described and it is hypothesized that SENSE can provide at least a 2‐fold improvement in lateral spatial resolution compared to non‐accelerated CMT acquisitions.

MR imaging artifacts and parallel imaging techniques with calibration scanning: a new twist on old problems.

  • N. YanasakM. Kelly
  • Medicine
    Radiographics : a review publication of the Radiological Society of North America, Inc
  • 2014
The application of parallel magnetic resonance (MR) imaging is increasing as clinicians continue to strive for improved spatial and temporal resolution, benefits that arise from the use of fewer

ENLIVE: An Efficient Nonlinear Method for Calibrationless and Robust Parallel Imaging

A novel calibrationless parallel imaging technique which simultaneously estimates coil profiles and image content in a relaxed forward model is reported, which successfully reconstructs acquisitions with insufficient field-of-view and is comparably fast.

Parallel magnetic resonance imaging.

There are a large number of parallel reconstruction algorithms; this article reviews a cross-section, SENSE, SMASH, g-SMASH and GRAPPA, selected to demonstrate the different approaches and discusses what makes a good application for parallel imaging.

Clinical multishot DW‐EPI through parallel imaging with considerations of susceptibility, motion, and noise

The results show that GRAPPA is more robust than SENSE against both off‐resonance and motion‐related artifacts, and the image quality improvements without SNR efficiency loss, together with motion tolerance, make theGRAPPA‐driven DW‐EPI sequence clinically attractive.

Dynamic coil selection for real‐time imaging in interventional MRI

A dynamic coil selection (DCS) algorithm is presented that selects a subset of receive coils to reduce image reconstruction times and in this study the anatomy was successfully visualized at frame rates of about 5 Hz using active catheter tracking.



Generalized autocalibrating partially parallel acquisitions (GRAPPA)

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.

Sensitivity profiles from an array of coils for encoding and reconstruction in parallel (SPACE RIP)

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)

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.

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.

A generalized approach to parallel magnetic resonance imaging.

A generalized formulation for parallel MR imaging is derived, demonstrating the relationship between existing techniques such as SMASH and SENSE, and suggesting new algorithms with improved performance.

Adaptive reconstruction of phased array MR imagery

Experimental results indicate SNR performance approaching that of the optimal matched filter and the technique enables near‐optimal reconstruction of multicoil MR imagery without a‐priori knowledge of the individual coil field maps or noise correlation structure.

Generalized SMASH imaging

A generalized parallel imaging method that uses coil profiles to generate missing k‐space lines and removes restrictions imposed by conventional SMASH, so that the choice and position of the receiver coils can be made on the basis of sensitivity to the volume of interest rather than suitability for constructing spatial harmonics.

Advances in sensitivity encoding with arbitrary k‐space trajectories

Using the proposed method, SENSE becomes practical with nonstandard k‐space trajectories, enabling considerable scan time reduction with respect to mere gradient encoding, and the in vivo feasibility of non‐Cartesian SENSE imaging with iterative reconstruction is demonstrated.

Adaptive sensitivity encoding incorporating temporal filtering (TSENSE) †

An adaptive method of sensitivity encoding is presented which incorporates both spatial and temporal filtering and a high degree of alias artifact rejection may be achieved with less stringent requirements on accuracy of coil sensitivity estimates and temporal low‐pass filter selectivity than would be required using each method individually.

Imaging time reduction through multiple receiver coil data acquisition and image reconstruction

This technique enables the collection of data necessary for image reconstruction in a reduced number of phase‐encoded acquisitions, which results in a 50% reduction in minimum scan time and may be useful in time‐critical procedures.