The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Theory of NMR signal behavior in magnetically inhomogeneous tissues: The static dephasing regime
Abstract
This paper is devoted to a theory of the NMR signal behavior in biological tissues in the presence of static magnetic field inhomogeneities. We have developed an approach that analytically describes the NMR signal in the static dephasing regime where diffusion phenomena may be ignored. This approach has been applied to evaluate the NMR signal in the presence of a blood vessel network (with an application to functional imaging), bone marrow (for two specific trabecular structures, asymmetrical and columnar) and a ferrite contrast agent. All investigated systems have some common behavior. If the echo time TE is less than a known characteristic time tc for a given system, then the signal decays exponentially with an argument which depends quadratically on TE. This is equivalent to an R2* relaxation rate which is a linear function of TE. In the opposite case, when TE is greater than tc, the NMR signal follows a simple exponential decay and the relaxation rate does not depend on the echo time. For this time interval, R2* is a linear function of a) volume fraction ζ occupied by the field‐creating objects, b) magnetic field B 0 or just the objects' magnetic moment for ferrite particles, and c) susceptibility difference Δχ between the objects and the medium.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
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
Time course EPI of human brain function during task activation
Bandettini, P. A., Wong, E. C., Hinks, R. S., Tikofsky, R. S., & Hyde, J. S. (1992) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910250220 · Cited by 1,935
Functional mapping of the human visual cortex by magnetic resonance imaging
Belliveau, J. W., Kennedy, D. N., McKinstry, R. C., Buchbinder, B. R., Weisskoff, R. M., Cohen, M. S., Vevea, J. M., Brady, T. J., & Rosen, B. R. (1991) · Science · doi:10.1126/science.1948051 · Cited by 1,883
Nonoxidative Glucose Consumption During Focal Physiologic Neural Activity
Fox, P. T., Raichle, M. E., Mintun, M. A., & Dence, C. (1988) · Science · doi:10.1126/science.3260686 · Cited by 1,796
Lai, S., Hopkins, A. L., Haacke, E. M., Li, D., Wasserman, B. A., Buckley, P., Friedman, L., Meltzer, H., Hedera, P., & Friedland, R. (1993) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910300318 · Cited by 390
Self-citation
Cited by
Dynamics of blood flow and oxygenation changes during brain activation: the Balloon model
Buxton, R. B., Wong, E. C., & Frank, L. R. (1998) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910390602 · Cited by 1,665
Imaging iron stores in the brain using magnetic resonance imaging
Haacke, E. M., Cheng, N. Y. C., House, M. J., Liu, Q., Neelavalli, J., Ogg, R. J., Khan, A., Ayaz, M., Kirsch, W., & Obenaus, A. (2005) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2004.10.001 · Cited by 995
Self-citationQuantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker
Wang, Y., & Liu, T. (2015) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25358 · Cited by 878
Schweser, F., Deistung, A., Lehr, B. W., & Reichenbach, J. R. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.10.070 · Cited by 710
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
- Yablonskiy, D. A., & Haacke, E. M.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 1994-12
- Volume
- 32
- Issue
- 6
- Pages
- 749-763
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W2064533924
- Cited by
- 1,198
- References
- 5
- FWCI
- 11.51
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Theory of NMR signal behavior in magnetically inhomogeneous tissues: The static dephasing regime. https://app.cochat.ai/papers/10.1002/mrm.1910320610
- The paper
- Yablonskiy, D. A., & Haacke, E. M. (1994). Theory of NMR signal behavior in magnetically inhomogeneous tissues: The static dephasing regime. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.1910320610
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
