Blipped‐controlled aliasing in parallel imaging for simultaneous multislice echo planar imaging with reduced g ‐factor penalty
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Simultaneous multislice Echo Planar Imaging (EPI) acquisition using parallel imaging can decrease the acquisition time for diffusion imaging and allow full-brain, high-resolution functional MRI (fMRI) acquisitions at a reduced repetition time (TR). However, the unaliasing of simultaneously acquired, closely spaced slices can be difficult, leading to a high g-factor penalty. We introduce a method to create interslice image shifts in the phase encoding direction to increase the distance between aliasing pixels. The shift between the slices is induced using sign- and amplitude-modulated slice-select gradient blips simultaneous with the EPI phase encoding blips. This achieves the desired shifts but avoids an undesired "tilted voxel" blurring artifact associated with previous methods. We validate the method in 3× slice-accelerated spin-echo and gradient-echo EPI at 3 T and 7 T using 32-channel radio frequency (RF) coil brain arrays. The Monte-Carlo simulated average g-factor penalty of the 3-fold slice-accelerated acquisition with interslice shifts is <1% at 3 T (compared with 32% without slice shift). Combining 3× slice acceleration with 2× inplane acceleration, the g-factor penalty becomes 19% at 3 T and 10% at 7 T (compared with 41% and 23% without slice shift). We demonstrate the potential of the method for accelerating diffusion imaging by comparing the fiber orientation uncertainty, where the 3-fold faster acquisition showed no noticeable degradation.
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Multiband accelerated EPI enables major improvements in spatial and/or temporal resolution, for example acquiring data with 2mm spatial resolution in less than a second.
““multiband accelerated EPI” acquires multiple slices simultaneously [39, 40]. Such approaches enable major improvements in spatial and/or temporal resolution, for example acquiring data with 2mm spatial resolution in less than a second.”
From Functional connectomics from resting-state fMRI (2013) · cites this paper as [40]
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- Authors
- Setsompop, K., Gagoski, B. A., Polimeni, J. R., Witzel, T., Wedeen, V. J., & Wald, L. L.
- Affiliations
- Harvard University (US)
- Massachusetts Institute of Technology (US)
- Massachusetts General Hospital (US)
- Corresponding author
- Setsompop, Kawin
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2011-08-19
- Volume
- 67
- Issue
- 5
- Pages
- 1210-1224
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- PMC
- PMC3323676
- OpenAlex
- W2053759320
- Cited by
- 1,285
- References
- 30
- Citations by year
- 2026: 65 · 2025: 89 · 2024: 79 · 2023: 74 · 2022: 102 · 2021: 121 · 2020: 110 · 2019: 133 · 2018: 122 · 2017: 118 · 2016: 89 · 2015: 76 · 2014: 44 · 2013: 45 · 2012: 14
- FWCI
- 25.71
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Magnetic Resonance in Medicine (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- 16 National Institutes of Health Institutes and Centers that support the NIH Blueprint for Neuroscience (K99EB012107, R01EB006847, R01EB007942 (NIH NIBIB grants), P41RR14075 (NCRR grant))
- Topics
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › NMR spectroscopy and applications
- Keywords
- parallel imaging, phase encoding, aliasing, functional MRI, spin-echo EPI, gradient-echo EPI
- MeSH terms
- Algorithms, Brain, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Pattern Recognition, Automated, Sensitivity and Specificity, Signal Processing, Computer-Assisted, Reproducibility of Results, Artifacts, Echo-Planar Imaging, Imaging, Three-Dimensional
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