Parallel magnetic resonance imaging
Abstract
Parallel imaging has been the single biggest innovation in magnetic resonance imaging in the last decade. The use of multiple receiver coils to augment the time consuming Fourier encoding has reduced acquisition times significantly. This increase in speed comes at a time when other approaches to acquisition time reduction were reaching engineering and human limits. A brief summary of spatial encoding in MRI is followed by an introduction to the problem parallel imaging is designed to solve. 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. Theoretical (the g-factor) and practical (coil design) limits to acquisition speed are reviewed. The practical implementation of parallel imaging is also discussed, in particular coil calibration. How to recognize potential failure modes and their associated artefacts are shown. Well-established applications including angiography, cardiac imaging and applications using echo planar imaging are reviewed and we discuss what makes a good application for parallel imaging. Finally, active research areas where parallel imaging is being used to improve data quality by repairing artefacted images are also reviewed.
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Applying parallel imaging and SMS techniques to studies in the mouse brain is challenging due to the small coil size and limited space in the probe.
“Applying these techniques to studies in the mouse brain is challenging due to the small coil size (supplemental figure 1) and the limited space in the probe (Johnson et al. 2012; Petiet et al. 2008; Larkman and Nunes 2007).”
From Neurite orientation dispersion and density imaging of mouse brain microstructure (2019) · cites this paper as Larkman and Nunes 2007
Cites
Scalable multichannel MRI data acquisition system
Bodurka, J., Ledden, P. J., van Gelderen, P., Chu, R., de Zwart, J. A., Morris, D., & Duyn, J. H. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10693 · Cited by 71 · see citing works
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Neurite orientation dispersion and density imaging of mouse brain microstructure
Wang, N., Zhang, J., Cofer, G., Qi, Y., Anderson, R. J., White, L. E., & Allan Johnson, G. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01877-x · Cited by 69 · see citing works
- Authors
- Larkman, D. J., & Nunes, R. G.
- Affiliations
- Hammersmith Hospital (GB)
- ORCID
- Nunes, Rita G
- Venue
- Physics in Medicine and Biology
- Publisher
- IOP Publishing
- Published
- 2007-03-09
- Volume
- 52
- Issue
- 7
- Pages
- R15-R55
- ISSN
- 0031-9155 (ISSN-L)
- 1361-6560
- OpenAlex
- W4210583703
- Cited by
- 327
- References
- 1
- Citations by year
- 2026: 5 · 2025: 15 · 2024: 19 · 2023: 13 · 2022: 15 · 2021: 57 · 2020: 20 · 2019: 16 · 2018: 14 · 2017: 15 · 2016: 14 · 2015: 20 · 2014: 20 · 2013: 17 · 2012: 17
- FWCI
- 1.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Physics in Medicine and Biology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/C53820X/1)
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
- Physical Sciences › Chemistry › Spectroscopy › Advanced NMR Techniques and Applications
- Keywords
- parallel MRI, parallel imaging, spatial coding, senses, smash, GRAPPA, general intelligence, coil design, coil calibration, artifacts, angiography, cardiac imaging, echo planar imaging, acquisition time reduction
- MeSH terms
- Algorithms, Angiography, Brain, Calibration, Equipment Design, Fourier Analysis, Heart, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Sensitivity and Specificity, Models, Statistical, Artifacts, Echo-Planar Imaging, Phantoms, Imaging
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Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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