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Rapid magnetic resonance quantification on the brain: Optimization for clinical usage
Abstract
A method is presented for rapid simultaneous quantification of the longitudinal T1 relaxation, the transverse T2 relaxation, the proton density (PD), and the amplitude of the local radio frequency B1 field. All four parameters are measured in one single scan by means of a multislice, multiecho, and multidelay acquisition. It is based on a previously reported method, which was substantially improved for routine clinical usage. The improvements comprise of the use of a multislice spin‐echo technique, a background phase correction, and a spin system simulation to compensate for the slice‐selective RF pulse profile effects. The aim of the optimization was to achieve the optimal result for the quantification of magnetic resonance parameters within a clinically acceptable time. One benchmark was high‐resolution coverage of the brain within 5 min. In this scan time the measured intersubject standard deviation (SD) in a group of volunteers was 2% to 8%, depending on the tissue (voxel size = 0.8 × 0.8 × 5 mm). As an example, the method was applied to a patient with multiple sclerosis in whom the diseased tissue could clearly be distinguished from healthy reference values. Additionally it was shown that, using the approach of synthetic MRI, both accurate conventional contrast images as well as quantification maps can be generated based on the same scan. Magn Reson Med 60:320–329, 2008. © 2008 Wiley‐Liss, Inc.
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Cited by
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Ma, D., Gulani, V., Seiberlich, N., Liu, K., Sunshine, J. L., Duerk, J. L., & Griswold, M. A. (2013) · Nature · doi:10.1038/nature11971 · Cited by 1,577
European Society of Radiology (ESR) (2015) · Insights into Imaging · doi:10.1007/s13244-015-0403-3 · Cited by 59
Theranostic implications of nanotechnology in multiple sclerosis: a future perspective.
Singh, A. V., Khare, M., Gade, W. N., & Zamboni, P. (2012) · Autoimmune Diseases · doi:10.1155/2012/160830 · Cited by 58
MR g-ratio-weighted connectome analysis in patients with multiple sclerosis
Kamagata, K., Zalesky, A., Yokoyama, K., Andica, C., Hagiwara, A., Shimoji, K., Kumamaru, K. K., Takemura, M. Y., Hoshino, Y., Kamiya, K., et al. (2019) · Scientific Reports · doi:10.1038/s41598-019-50025-2 · Cited by 35
Metadata
- Authors
- Warntjes, J. B. M., Leinhard, O. D., West, J., & Lundberg, P.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2008-07-29
- Volume
- 60
- Issue
- 2
- Pages
- 320-329
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W2123328938
- Cited by
- 500
- References
- 0
- FWCI
- 4.78
- Type
- journal article
- Language
- en
- Open access
- closed
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- Warntjes, J. B. M., Leinhard, O. D., West, J., & Lundberg, P. (2008). Rapid magnetic resonance quantification on the brain: Optimization for clinical usage. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.21635
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