The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Mr perfusion studies with t1‐weighted echo planar imaging
Abstract
The T1 perfusion model has worked well in brain functional studies where flow changes are measured. Using selective and nonselective inversion pulses, a new method has been developed to study steady‐state brain blood flow. The authors obtained flow‐sensitive images using selective inversion and flow‐insensitive images using nonselective inversion. Subtraction of flow‐insensitive images from flow‐sensitive images gave us flow‐weighted images with good gray‐white flow contrast in cortical gray matter as well as in the thalamus and basal ganglia. Fitting T1 S of flow‐insensitive and flow‐sensitive images allowed us to obtain preliminary results of brain blood flow maps. Two specific problems can seriously affect the accuracy of the brain blood flow values and the gray‐white flow contrast of brain blood flow maps. These are the problems of the partial volume effect of CSF and gray matter, and the difference between blood T1 and white matter T1. The authors discuss in detail the character of these problems and present a number of approaches to manage such problems.
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Citations
Cites
Dynamic magnetic resonance imaging of human brain activity during primary sensory stimulation.
Kwong, K. K., Belliveau, J. W., Chesler, D. A., Goldberg, I. E., Weisskoff, R. M., Poncelet, B. P., Kennedy, D. N., Hoppel, B. E., Cohen, M. S., & Turner, R. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.12.5675 · Cited by 4,212
Self-citationDetre, 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
Edelman, 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
Blood-brain barrier permeability of 11C-labeled alcohols and 15O-labeled water
Raichle, M., Eichling, J., Straatmann, M., Welch, M., Larson, K., & Ter-Pogossian, M. (1976) · American Journal of Physiology-Legacy Content · doi:10.1152/ajplegacy.1976.230.2.543 · Cited by 262
Functional Magnetic Resonance Imaging with Echo Planar Imaging
Kwong, K. K. (1996) · Functional MRI · doi:10.1007/978-88-470-2194-5_16 · Cited by 184
Self-citationMR angiography by selective inversion recovery
Nishimura, D. G., Macovski, A., Pauly, J. M., & Conolly, S. M. (1987) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910040214 · Cited by 171
Mechanisms of Contrast in NMR Imaging
Wehrli, F. W., MacFall, J. R., Shutts, D., et al. (1984) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-198406000-00001 · Cited by 127
Cited by
Dai, W., Garcia, D., de Bazelaire, C., & Alsop, D. C. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21790 · Cited by 985
Swain, R. A., Harris, A. B., Wiener, E. C., Dutka, M. V., Morris, H. D., Theien, B. E., Konda, S., Engberg, K., Lauterbur, P. C., & Greenough, W. T. (2003) · Neuroscience · doi:10.1016/s0306-4522(02)00664-4 · Cited by 655
Comparative Overview of Brain Perfusion Imaging Techniques
Wintermark, M., Sesay, M., Barbier, E., Borbély, K., Dillon, W. P., Eastwood, J. D., Glenn, T. C., Grandin, C. B., Pedraza, S., Soustiel, J.-F., et al. (2005) · Stroke · doi:10.1161/01.str.0000177884.72657.8b · Cited by 592
Wu, W., Fernández‐Seara, M., Detre, J. A., Wehrli, F. W., & Wang, J. (2007) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21403 · Cited by 465
Calamante, F., Gadian, D. G., & Connelly, A. (2000) · Magnetic Resonance in Medicine · doi:10.1002/1522-2594(200009)44:3<466::aid-mrm18>3.0.co;2-m · Cited by 458
Metadata
- Authors
- Kwong, K. K., Chesler, D. A., Weisskoff, R. M., Donahue, K. M., Davis, T. L., Ostergaard, L., Campbell, T. A., & Rosen, B. R.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 1995-12
- Volume
- 34
- Issue
- 6
- Pages
- 878-887
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W1996498530
- Cited by
- 477
- References
- 7
- FWCI
- 19.72
- Type
- journal article
- Language
- en
- Open access
- closed
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- Kwong, K. K., Chesler, D. A., Weisskoff, R. M., Donahue, K. M., Davis, T. L., Ostergaard, L., Campbell, T. A., & Rosen, B. R. (1995). Mr perfusion studies with t1‐weighted echo planar imaging. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.1910340613
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