The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Intravascular susceptibility contrast mechanisms in tissues
Abstract
The factors affecting the rate of loss of transverse magnetization in gradient echo and spin‐echo pulse sequences have been quantified using computer modeling for media containing arrays of susceptibility variations. The results are particularly relevant for describing the signal losses that occur in tissues containing capillaries of altered intrinsic susceptibility from the administration of exogenous contrast agents or arising from changes in blood oxygenation. The precise magnitudes and relationship of gradient echo and spin‐echo decay rates depend on geometrical factors such as the sizes and spacings of the inhomogeneities, the rate of water diffusion, field strength, and echo times. The conventional separation of contributions to transverse decay rates arising from so‐called static field effects and diffusion is shown to be inappropriate for many situations of practical interest because diffusion introduces a motional averaging of the static field even in gradient echo sequences. The result of diffusion in some regimes is to reduce the decay rate from field inhomogeneities in gradient echo sequences, so that T 2* is longer in media such as tissue where water diffuses reasonably rapidly, than would be the case for stationary nuclei. The effects of different types of contrast agent and the implications for functional imaging based on the effects of deoxyhemoglobin in brain tissue are considered.
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Cites
Brain magnetic resonance imaging with contrast dependent on blood oxygenation.
Ogawa, S., Lee, T. M., Kay, A. R., & Tank, D. W. (1990) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.87.24.9868 · Cited by 6,483
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
Thulborn, K. R., Waterton, J. C., Matthews, P. M., & Radda, G. K. (1982) · Biochimica et Biophysica Acta (BBA) - General Subjects · doi:10.1016/0304-4165(82)90333-6 · Cited by 1,134
Cited by
Magnetic Nanoparticles: Surface Effects and Properties Related to Biomedicine Applications
Issa, B., Obaidat, I., Albiss, B., & Haik, Y. (2013) · International Journal of Molecular Sciences · doi:10.3390/ijms141121266 · Cited by 1,245
Theory of NMR signal behavior in magnetically inhomogeneous tissues: The static dephasing regime
Yablonskiy, D. A., & Haacke, E. M. (1994) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910320610 · Cited by 1,198
The neural basis of the blood–oxygen–level–dependent functional magnetic resonance imaging signal
Logothetis, N. K. (2002) · Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences · doi:10.1098/rstb.2002.1114 · Cited by 958
Measuring Cerebral Blood Flow Using Magnetic Resonance Imaging Techniques
Calamante, F., Thomas, D. L., Pell, G. S., Wiersma, J., & Turner, R. (1999) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1097/00004647-199907000-00001 · Cited by 638
Biophysical and Physiological Origins of Blood Oxygenation Level-Dependent fMRI Signals
Kim, S.-G., & Ogawa, S. (2012) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2012.23 · Cited by 547
Metadata
- Authors
- Kennan, R. P., Zhong, J., & Gore, J. C.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 1994-01
- Volume
- 31
- Issue
- 1
- Pages
- 9-21
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W2079716456
- Cited by
- 524
- References
- 3
- FWCI
- 27.11
- Type
- journal article
- Language
- en
- Open access
- closed
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