The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
“Squashing peanuts and smashing pumpkins”: How noise distorts diffusion‐weighted MR data
Open accessAbstract
New diffusion‐weighted imaging (DWI) methods, including high‐b, q‐space, and high angular resolution MRI methods, attempt to extract information about non‐Gaussian diffusion in tissue that is not provided by low‐b‐value (b ≈ 1000 s mm−2) diffusion or diffusion tensor magnetic resonance imaging (DT‐MRI). Additionally, DWI data with higher spatial resolution are being acquired to resolve fine anatomic structures, such as white matter fasciculi. Increasing diffusion‐weighting or decreasing voxel size can reduce the signal‐to‐noise ratio so that some DWI signals are close to the background noise level. Here we report several new artifacts that can be explained by considering how background noise affects the peanut‐shaped angular apparent diffusion coefficient (ADC) profile. These include an orientationally dependent deviation from Gaussian behavior of the ADC profile, an underestimation of indices of diffusion anisotropy, and a correlation between estimates of mean diffusivity and diffusion anisotropy. We also discuss how noise can cause increased gray/white matter DWI contrast at higher b values and an apparent elevation of diffusion anisotropy in acute ischemia. Importantly, all of these artifacts are negligible in the b‐value range typically used in DT‐MRI of brain (b ≈ 1000 s mm−2). Finally, we demonstrate a strategy for ameliorating the rectified noise artifact in data collected at higher b values. Magn Reson Med 52:979–993, 2004. Published 2004 Wiley‐Liss, Inc.
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Self-citation
Metadata
- Authors
- Jones, D. K., & Basser, P. J.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2004-10-26
- Volume
- 52
- Issue
- 5
- Pages
- 979-993
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W2149337534
- Cited by
- 587
- References
- 33
- FWCI
- 14.17
- Type
- journal article
- Language
- en
- Open access
- hybrid
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