The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
32‐channel 3 Tesla receive‐only phased‐array head coil with soccer‐ball element geometry
Abstract
A 32‐channel 3T receive‐only phased‐array head coil was developed for human brain imaging. The helmet‐shaped array was designed to closely fit the head with individual overlapping circular elements arranged in patterns of hexagonal and pentagonal symmetry similar to that of a soccer ball. The signal‐to‐noise ratio (SNR) and noise amplification (g‐factor) in accelerated imaging applications were quantitatively evaluated in phantom and human images and compared with commercially available head coils. The 32‐channel coil showed SNR gains of up to 3.5‐fold in the cortex and 1.4‐fold in the corpus callosum compared to a (larger) commercial eight‐channel head coil. The experimentally measured g‐factor performance of the helmet array showed significant improvement compared to the eight‐channel array (peak g‐factor 59% and 26% of the eight‐channel values for four‐ and fivefold acceleration). The performance of the arrays is demonstrated in high‐resolution and highly accelerated brain images. Magn Reson Med, 2006. © 2006 Wiley‐Liss, Inc.
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Generalized autocalibrating partially parallel acquisitions (GRAPPA)
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Self-citationRoemer, P. B., Edelstein, W. A., Hayes, C. E., Souza, S. P., & Mueller, O. M. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910160203 · Cited by 2,322
Theory and application of array coils in MR spectroscopy
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Self-citationDesign of a SENSE‐optimized high‐sensitivity MRI receive coil for brain imaging
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Specific coil design for SENSE: A six-element cardiac array
Weiger, M., Pruessmann, K. P., Leussler, C. G., R�schmann, P., & Boesiger, P. (2001) · Magnetic Resonance in Medicine · Cited by 183
Volume imaging with MR phased arrays
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Differentiating BOLD and non-BOLD signals in fMRI time series using multi-echo EPI
Kundu, P., Inati, S. J., Evans, J. W., Luh, W.-M., & Bandettini, P. A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.028 · Cited by 615
Quantitative multi-parameter mapping of R1, PD*, MT, and R2* at 3T: a multi-center validation
Weiskopf, N., Suckling, J., Williams, G., Correia, M. M., Inkster, B., Tait, R., Ooi, C., Bullmore, E. T., & Lutti, A. (2013) · Frontiers in Neuroscience · doi:10.3389/fnins.2013.00095 · Cited by 538
Automated segmentation of hippocampal subfields from ultra‐high resolution in vivo MRI
Van Leemput, K., Bakkour, A., Benner, T., Wiggins, G., Wald, L. L., Augustinack, J., Dickerson, B. C., Golland, P., & Fischl, B. (2009) · Hippocampus · doi:10.1002/hipo.20615 · Cited by 405
Self-citationThe future of ultra-high field MRI and fMRI for study of the human brain
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Metadata
- Authors
- Wiggins, G. C., Triantafyllou, C., Potthast, A., Reykowski, A., Nittka, M., & Wald, L. L.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2006-06-09
- Volume
- 56
- Issue
- 1
- Pages
- 216-223
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W2169458841
- Cited by
- 375
- References
- 11
- FWCI
- 11.08
- Type
- journal article
- Language
- en
- Open access
- closed
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