The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Comparison of quantitative perfusion imaging using arterial spin labeling at 1.5 and 4.0 Tesla
Open accessAbstract
High‐field arterial spin labeling (ASL) perfusion MRI is appealing because it provides not only increased signal‐to‐noise ratio (SNR), but also advantages in terms of labeling due to the increased relaxation time T1 of labeled blood. In the present study, we provide a theoretical framework for the dependence of the ASL signal on the static field strength, followed by experimental validation in which a multislice pulsed ASL (PASL) technique was carried out at 4T and compared with PASL and continuous ASL (CASL) techniques at 1.5T, both in the resting state and during motor activation. The resting‐state data showed an SNR ratio of 2.3:1.4:1 in the gray matter and a contrast‐to‐noise ratio (CNR) of 2.7:1.1:1 between the gray and white matter for the difference perfusion images acquired using 4T PASL, 1.5T CASL, and 1.5T PASL, respectively. However, the functional data acquired using 4T PASL did not show significantly improved sensitivity to motor cortex activation compared with the 1.5T functional data, with reduced fractional perfusion signal change and increased intersubject variability. Possible reasons for these experimental results, including susceptibility effects and physiological noise, are discussed. Magn Reson Med 48:242–254, 2002. © 2002 Wiley‐Liss, Inc.
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Cites
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913
Detre, J. A., Leigh, J. S., Williams, D. S., & Koretsky, A. P. (1992) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910230106 · Cited by 1,571
Self-citationMagnetic resonance imaging of perfusion using spin inversion of arterial water.
Williams, D. S., Detre, J. A., Leigh, J. S., & Koretsky, A. P. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.1.212 · Cited by 1,546
Self-citationA general kinetic model for quantitative perfusion imaging with arterial spin labeling
Buxton, R. B., Frank, L. R., Wong, E. C., Siewert, B., Warach, S., & Edelman, R. R. (1998) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910400308 · Cited by 1,263
CEREBRAL BLOOD FLOW, BLOOD VOLUME AND OXYGEN UTILIZATION: NORMAL VALUES AND EFFECT OF AGE
LEENDERS, K. L., PERANI, D., LAMMERTSMA, A. A., HEATHER, J. D., BUCKINGHAM, P., JONES, T., HEALY, M. J. R., GIBBS, J. M., WISE, R. J. S., HATAZAWA, J., et al. (1990) · Brain · doi:10.1093/brain/113.1.27 · Cited by 1,093
Kim, S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340303 · Cited by 1,001
Alsop, D. C., & Detre, J. A. (1996) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199611000-00019 · Cited by 754
Self-citationEdelman, R. R., Siewert, B., Darby, D. G., Thangaraj, V, Nobre, A. C., Mesulam, M. M., & Warach, S. (1994) · Radiology · doi:10.1148/radiology.192.2.8029425 · Cited by 700
Quantitative imaging of perfusion using a single subtraction (QUIPSS and QUIPSS II)
Wong, E. C., Buxton, R. B., & Frank, L. R. (1998) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910390506 · Cited by 689
Regional cerebral blood flow during voluntary arm and hand movements in human subjects
Colebatch, J. G., Deiber, M. P., Passingham, R. E., Friston, K. J., & Frackowiak, R. S. (1991) · Journal of Neurophysiology · doi:10.1152/jn.1991.65.6.1392 · Cited by 603
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MRI in multiple sclerosis: current status and future prospects
Bakshi, R., Thompson, A. J., Rocca, M. A., Pelletier, D., Dousset, V., Barkhof, F., Inglese, M., Guttmann, C. R., Horsfield, M. A., & Filippi, M. (2008) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70137-6 · Cited by 348
Arterial spin labeling perfusion fMRI with very low task frequency
Wang, J., Aguirre, G. K., Kimberg, D. Y., Roc, A. C., Li, L., & Detre, J. A. (2003) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10437 · Cited by 316
Self-citationThe effect of daily caffeine use on cerebral blood flow: How much caffeine can we tolerate?
Addicott, M. A., Yang, L. L., Peiffer, A. M., Burnett, L. R., Burdette, J. H., Chen, M. Y., Hayasaka, S., Kraft, R. A., Maldjian, J. A., & Laurienti, P. J. (2009) · Human Brain Mapping · doi:10.1002/hbm.20732 · Cited by 210
Asllani, I., Habeck, C., Scarmeas, N., Borogovac, A., Brown, T. R., & Stern, Y. (2008) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/sj.jcbfm.9600570 · Cited by 172
Functional magnetic resonance imaging: A review of methodological aspects and clinical applications
Hennig, J., Speck, O., Koch, M. A., & Weiller, C. (2003) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.10330 · Cited by 100
Metadata
- Authors
- Wang, J., Alsop, D. C., Li, L., Listerud, J., Gonzalez‐At, J. B., Schnall, M. D., & Detre, J. A.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2002-07-31
- Volume
- 48
- Issue
- 2
- Pages
- 242-254
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W2154535553
- Cited by
- 369
- References
- 35
- FWCI
- 13.56
- Type
- journal article
- Language
- en
- Open access
- bronze
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