# Field‐of‐view limitations in parallel imaging

@article{Griswold2004FieldofviewLI, 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}, year={2004}, volume={52} }

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…

## 98 Citations

### Parallel MR imaging

- PhysicsJournal of magnetic resonance imaging : JMRI
- 2012

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

- PhysicsIEEE Transactions on Medical Imaging
- 2009

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.

- PhysicsProgress in nuclear magnetic resonance spectroscopy
- 2017

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

- PhysicsMagnetic resonance in medicine
- 2005

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.

### Reconstruction in image space using basis functions for partially parallel imaging.

- PhysicsMagnetic resonance imaging
- 2008

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

- MedicineRadiographics : 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

- PhysicsScientific Reports
- 2019

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.

- PhysicsPhysics in medicine and biology
- 2007

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

- PhysicsMagnetic resonance in medicine
- 2007

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

- MedicineMagnetic resonance in medicine
- 2006

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.

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