The DOI matches its Crossref record.
Measurement of signal intensities in the presence of noise in MR images
Abstract
Power spectrum or magnitude images are frequently presented in magnetic resonance imaging. In such images, measurement of signal intensity at low signal levels is compounded with the noise. This report describes how to extract true intensity measurements in the presence of noise.
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Citations
Cited by
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
Jones, D. K., Knösche, T. R., & Turner, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.081 · Cited by 2,402
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
Flacke, S., Fischer, S., Scott, M. J., Fuhrhop, R. J., Allen, J. S., McLean, M., Winter, P., Sicard, G. A., Gaffney, P. J., Wickline, S. A., et al. (2001) · Circulation · doi:10.1161/hc3601.094303 · Cited by 515
What can we see with IVIM MRI?
Le Bihan, D. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.062 · Cited by 498
Alexander, D. C. (2008) · Magnetic Resonance in Medicine · doi:10.1002/mrm.21646 · Cited by 331
Metadata
- Authors
- Henkelman, R. M.
- Venue
- Medical Physics
- Publisher
- Wiley
- Published
- 1985-03
- Volume
- 12
- Issue
- 2
- Pages
- 232-233
- ISSN
- 0094-2405 (ISSN-L)
- 2473-4209
- OpenAlex
- W2165170333
- Cited by
- 1,017
- References
- 0
- FWCI
- 2.88
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Measurement of signal intensities in the presence of noise in MR images. https://app.cochat.ai/papers/10.1118/1.595711
- The paper
- Henkelman, R. M. (1985). Measurement of signal intensities in the presence of noise in MR images. Medical Physics. https://doi.org/10.1118/1.595711
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.
