The DOI matches its Crossref record.
A signal-to-noise calibration procedure for NMR imaging systems: Signal-to-noise calibration for NMR imaging systems
Abstract
A nuclear magnetic resonance (NMR) imaging system signal-to-noise calibration technique based on an NMR projection of distilled water in a cylindrical bottle is proposed. This measurement can characterize any arrangement of rf coils in any magnetic field as signal to noise per ml times root Hz. Inductive losses in a typical patient must be included in the calibration, and such losses can be simulated in a particular system by an externally attached resistor(s) appropriate to that system. Alternatively, an rf inductive damping phantom consisting of a conducting loop of wire containing an appropriate resistor is suggested that can be inserted into any NMR imaging coil to simulate subject Q damping. The same resistor can be used, independent of the details of the coil construction. Furthermore, if the loop inductance is tuned out at each frequency with a series capacitor, then the same loop resistance will serve for all frequencies as a good approximation to human subject damping. This "projection method" signal-to-noise ratio is related to the conventional signal-to-noise ratio measured from a Lorentzian-shaped spectral line as psi P = psi L [2/T2]1/2, where psi stands for signal-to-noise ratio, subscripts P and L stand, respectively, for the projection and "Lorentzian" methods, and T2 is the transverse relaxation time of the spectral line used in the Lorentzian method.
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
Cited by
Dietrich, O., Raya, J. G., Reeder, S. B., Reiser, M. F., & Schoenberg, S. O. (2007) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.20969 · Cited by 992
The intrinsic signal-to-noise ratio in NMR imaging
Edelstein, W. A., Glover, G. H., Hardy, C. J., & Redington, R. W. (1986) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910030413 · Cited by 758
Self-citation“Squashing peanuts and smashing pumpkins”: How noise distorts diffusion‐weighted MR data
Jones, D. K., & Basser, P. J. (2004) · Magnetic Resonance in Medicine · doi:10.1002/mrm.20283 · Cited by 587
Jones, D. K., & Leemans, A. (2011) · Methods in Molecular Biology · doi:10.1007/978-1-61737-992-5_6 · Cited by 379
Review of medical image quality assessment
Chow, L. S., & Paramesran, R. (2016) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2016.02.006 · Cited by 265
Metadata
- Authors
- Edelstein, W. A., Bottomley, P. A., & Pfeifer, L. M.
- Venue
- Medical Physics
- Publisher
- Wiley
- Published
- 1984-03
- Volume
- 11
- Issue
- 2
- Pages
- 180-185
- ISSN
- 0094-2405 (ISSN-L)
- OpenAlex
- W2011312163
- Cited by
- 230
- References
- 0
- FWCI
- 5.20
- 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: A signal-to-noise calibration procedure for NMR imaging systems: Signal-to-noise calibration for NMR imaging systems. https://app.cochat.ai/papers/10.1118/1.595484
- The paper
- Edelstein, W. A., Bottomley, P. A., & Pfeifer, L. M. (1984). A signal-to-noise calibration procedure for NMR imaging systems: Signal-to-noise calibration for NMR imaging systems. Medical Physics. https://doi.org/10.1118/1.595484
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.