The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Application of a Fourier-based method for rapid calculation of field inhomogeneity due to spatial variation of magnetic susceptibility
Open accessAbstract
Inhomogeneous B0-magnetic fields generate distortion in magnetic resonance images, particularly those produced using echo planar imaging, and are responsible for signal reduction due to intravoxel dephasing in gradient echo experiments. Such effects increase in magnitude in proportionality with the static field strength, and with the growing use of high-field (3 T and above) systems in medical imaging, it is increasingly important to be able to quantify field inhomogeneities. Here, we describe the implementation and use of a method for rapidly calculating frequency shifts due to spatially varying magnetic susceptibility that is based on an approach previously used to calculate long-range dipolar field effects. The method relies on a simple expression that relates the three-dimensional Fourier transforms of the magnetization distribution and the field, and can naturally include the effect of the sphere of Lorentz. It has been used to evaluate field inhomogeneity in the head due to the variation of magnetic susceptibility with tissue type and to calculate the change in field inhomogeneity that occurs due to small rotations of the head. In addition, this approach has been used to simulate the effect of lung volume changes in generating respiration induced resonant offsets in the brain. © Wiley Periodicals, Inc. Concepts Magn Reson Part B (Magn Reson Engineering) 25B: 65–78, 2005
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
Greiner, W. (1998) · Theoretical Physics · doi:10.1007/978-1-4612-0587-6 · Cited by 6,657
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
Classical Electrodynamics, 3rd ed .
Jackson, J. D., & Fox, R. F. (1999) · American Journal of Physics · doi:10.1119/1.19136 · Cited by 3,073
Correction for geometric distortion in echo planar images from B 0 field variations
Jezzard, P., & Balaban, R. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340111 · Cited by 1,421
Image Distortion Correction in fMRI: A Quantitative Evaluation
Hutton, C., Bork, A., Josephs, O., Deichmann, R., Ashburner, J., & Turner, R. (2002) · NeuroImage · doi:10.1006/nimg.2001.1054 · Cited by 681
Salomir, R., de Senneville, B. D., & Moonen, C. T. (2003) · Concepts in Magnetic Resonance Part B: Magnetic Resonance Engineering · doi:10.1002/cmr.b.10083 · Cited by 389
Chu, K. ‐. C., Xu, Y., Balschi, J. A., & Springer, C. S. (1990) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910130207 · Cited by 373
NMR multiple echoes observed in solidHe3
Deville, G., Bernier, M., & Delrieux, J. M. (1979) · Physical Review B · doi:10.1103/physrevb.19.5666 · Cited by 324
The Time Average Magnetic Field at the Nucleus in Nuclear Magnetic Resonance Experiments
Dickinson, W. C. (1951) · Physical Review · doi:10.1103/physrev.81.717 · Cited by 270
Respiration‐induced B0fluctuations and their spatial distribution in the human brain at 7 Tesla
Van de Moortele, P., Pfeuffer, J., Glover, G. H., Ugurbil, K., & Hu, X. (2002) · Magnetic Resonance in Medicine · doi:10.1002/mrm.10145 · Cited by 240
Cited by
Quantitative 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
Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition
Li, W., Wu, B., & Liu, C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.11.088 · Cited by 624
Magnetic susceptibility mapping of brain tissue in vivo using MRI phase data
Shmueli, K., de Zwart, J. A., van Gelderen, P., Li, T., Dodd, S. J., & Duyn, J. H. (2009) · Magnetic Resonance in Medicine · doi:10.1002/mrm.22135 · Cited by 527
Quantitative susceptibility mapping: current status and future directions
Haacke, E. M., Liu, S., Buch, S., Zheng, W., Wu, D., & Ye, Y. (2015) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2014.09.004 · Cited by 511
Metadata
- Authors
- Marques, J. P., & Bowtell, R.
- Venue
- Concepts in Magnetic Resonance Part B: Magnetic Resonance Engineering
- Publisher
- Wiley
- Published
- 2005
- Volume
- 25B
- Issue
- 1
- Pages
- 65-78
- ISSN
- 1552-5031 (ISSN-L)
- 1552-504X
- OpenAlex
- W2113430372
- Cited by
- 434
- References
- 16
- FWCI
- 5.95
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Application of a Fourier-based method for rapid calculation of field inhomogeneity due to spatial variation of magnetic susceptibility. https://app.cochat.ai/papers/10.1002/cmr.b.20034
- The paper
- Marques, J. P., & Bowtell, R. (2005). Application of a Fourier-based method for rapid calculation of field inhomogeneity due to spatial variation of magnetic susceptibility. Concepts in Magnetic Resonance Part B: Magnetic Resonance Engineering. https://doi.org/10.1002/cmr.b.20034
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.