Size-optimized 32-channel brain arrays for 3 T pediatric imaging
Name
Kanwisher-2011-Channel Brain Arrays for 3 T Pediatric Imaging.pdf
Size
2.58 MB
Format
Adobe PDF
Checksum (MD5)
298fe4bd51fffca861fe594615335c52
Author(s)
Keil, Boris
Alagappan, Vijay
Mareyam, Azma
McNab, Jennifer A.
Fujimoto, Kyoko
Tountcheva, Venata
Triantafyllou, Christina
Dilks, Daniel D.
Kanwisher, Nancy
Lin, Weili
Date Issued
December 2011
Journal
Magnetic Resonance in Medicine
Publisher
Wiley-Blackwell Pubishers
Citation
Keil, Boris et al. “Size-optimized 32-channel Brain Arrays for 3 T Pediatric Imaging.” Magnetic Resonance in Medicine 66.6 (2011): 1777–1787. Web.
Version
Author's final manuscript
Abstract
Size-optimized 32-channel receive array coils were developed for five age groups, neonates, 6 months old, 1 year old, 4 years old, and 7 years old, and evaluated for pediatric brain imaging. The array consisted of overlapping circular surface coils laid out on a close-fitting coil-former. The two-section coil former design was obtained from surface contours of aligned three-dimensional MRI scans of each age group. Signal-to-noise ratio and noise amplification for parallel imaging were evaluated and compared to two coils routinely used for pediatric brain imaging; a commercially available 32-channel adult head coil and a pediatric-sized birdcage coil. Phantom measurements using the neonate, 6-month-old, 1-year-old, 4-year-old, and 7-year-old coils showed signal-to-noise ratio increases at all locations within the brain over the comparison coils. Within the brain cortex the five dedicated pediatric arrays increased signal-to-noise ratio by up to 3.6-, 3.0-, 2.6-, 2.3-, and 1.7-fold, respectively, compared to the 32-channel adult coil, as well as improved G-factor maps for accelerated imaging. This study suggests that a size-tailored approach can provide significant sensitivity gains for accelerated and unaccelerated pediatric brain imaging.
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
McGovern Institute for Brain Research at MIT
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike 3.0
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DOI of Published Version
https://doi.org/10.1002/mrm.22961
