The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
Gleaning multicomponent T1 and T2 information from steady‐state imaging data
Abstract
The driven‐equilibrium single‐pulse observation of T1 (DESPOT1) and T2 (DESPOT2) are rapid, accurate, and precise methods for voxelwise determination of the longitudinal and transverse relaxation times. A limitation of the methods, however, is the inherent assumption of single‐component relaxation. In a variety of biological tissues, in particular human white matter (WM) and gray matter (GM), the relaxation has been shown to be more completely characterized by a summation of two or more relaxation components, or species, each believed to be associated with unique microanatomical domains or water pools. Unfortunately, characterization of these components on a voxelwise, whole‐brain basis has traditionally been hindered by impractical acquisition times. In this work we extend the conventional DESPOT1 and DESPOT2 approaches to include multicomponent relaxation analysis. Following numerical analysis of the new technique, renamed multicomponent driven equilibrium single pulse observation of T1/T2 (mcDESPOT), whole‐brain multicomponent T1 and T2 quantification is demonstrated in vivo with clinically realistic times of between 16 and 30 min. Results obtained from four healthy individuals and two primary progressive multiple sclerosis (MS) patients demonstrate the future potential of the approach for identifying and assessing tissue changes associated with several neurodegenerative conditions, in particular those associated with WM. Magn Reson Med 60:1372–1387, 2008. © 2008 Wiley‐Liss, Inc.
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Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
Holland, J. H. (1992) · The MIT Press eBooks · doi:10.7551/mitpress/1090.001.0001 · Cited by 47,002
A Simplex Method for Function Minimization
Nelder, J. A., & Mead, R. (1965) · The Computer Journal · doi:10.1093/comjnl/7.4.308 · Cited by 28,905
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496
Zhang, Y., Brady, M., & Smith, S. (2001) · IEEE Transactions on Medical Imaging · doi:10.1109/42.906424 · Cited by 6,982
In vivo visualization of myelin water in brain by magnetic resonance
Mackay, A., Whittall, K., Adler, J., Li, D., Paty, D., & Graeb, D. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910310614 · Cited by 914
Waller, A. V. (1850) · Philosophical Transactions of the Royal Society of London · doi:10.1098/rstl.1850.0021 · Cited by 896
Pauly, J., Le Roux, P., Nishimura, D., & Macovski, A. (1991) · IEEE Transactions on Medical Imaging · doi:10.1109/42.75611 · Cited by 800
In vivo measurement of T2 distributions and water contents in normal human brain
Whittall, K. P., Mackay, A. L., Graeb, D. A., Nugent, R. A., Li, D. K. B., & Paty, D. W. (1997) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910370107 · Cited by 793
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Gilmore, J. H., Knickmeyer, R. C., & Gao, W. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2018.1 · Cited by 1,013
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Deoni, S. C. L., Mercure, E., Blasi, A., Gasston, D., Thomson, A., Johnson, M., Williams, S. C. R., & Murphy, D. G. M. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.2106-10.2011 · Cited by 497
Self-citationDeoni, S. C. L., Dean, D. C., O'Muircheartaigh, J., Dirks, H., & Jerskey, B. A. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.07.037 · Cited by 390
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Metadata
- Authors
- Deoni, S. C. L., Rutt, B. K., Arun, T., Pierpaoli, C., & Jones, D. K.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2008-11-24
- Volume
- 60
- Issue
- 6
- Pages
- 1372-1387
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W2117245594
- Cited by
- 472
- References
- 48
- FWCI
- 7.88
- Type
- journal article
- Language
- en
- Open access
- closed
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