The DOI matches its Crossref record.
Signal‐to‐noise measurements in magnitude images from NMR phased arrays
Open accessAbstract
A method is proposed to estimate signal‐to‐noise ratio (SNR) values in phased array magnitude images, based on a region‐of‐interest (ROI) analysis. It is shown that the SNR can be found by correcting the measured signal intensity for the noise bias effects and by evaluating the noise variance as the mean square value of all the pixel intensities in a chosen background ROI, divided by twice the number of receivers used. Estimated SNR values are shown to vary spatially within a bound of 20% with respect to the true SNR values as a result of noise correlations between receivers.
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
Advances in diffusion MRI acquisition and processing in the Human Connectome Project
Sotiropoulos, S. N., Jbabdi, S., Xu, J., Andersson, J. L., Moeller, S., Auerbach, E. J., Glasser, M. F., Hernandez, M., Sapiro, G., Jenkinson, M., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.057 · Cited by 891
Diffusion MRI noise mapping using random matrix theory
Veraart, J., Fieremans, E., & Novikov, D. S. (2016) · Magnetic Resonance in Medicine · doi:10.1002/mrm.26059 · Cited by 773
Pushing the limits of in vivo diffusion MRI for the Human Connectome Project
Setsompop, K., Kimmlingen, R., Eberlein, E., Witzel, T., Cohen-Adad, J., McNab, J. A., Keil, B., Tisdall, M. D., Hoecht, P., Dietz, P., et al. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.078 · Cited by 545
Clinical intravoxel incoherent motion and diffusion MR imaging: Past, present, and future
Iima, M., & Le Bihan, D. (2016) · Radiology · doi:10.1148/radiol.2015150244 · Cited by 498
Metadata
- Authors
- Constantinides, C. D., Atalar, E., & McVeigh, E. R.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 1997-11
- Volume
- 38
- Issue
- 5
- Pages
- 852-857
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W2167818248
- Cited by
- 510
- References
- 0
- FWCI
- 1.51
- Type
- journal article
- Language
- en
- Open access
- green
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: Signal‐to‐noise measurements in magnitude images from NMR phased arrays. https://app.cochat.ai/papers/10.1002/mrm.1910380524
- The paper
- Constantinides, C. D., Atalar, E., & McVeigh, E. R. (1997). Signal‐to‐noise measurements in magnitude images from NMR phased arrays. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.1910380524
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.