Gallichan, Daniel  ORCID: https://orcid.org/0000-0002-0143-2855, Scholz, Jan, Bartsch, Andreas, Behrens, Timothy E., Robson, Matthew D. and Miller, Karla L.
2010.
Addressing a systematic vibration artifact in diffusion-weighted MRI.
Human Brain Mapping
31
(2)
, pp. 193-202.
10.1002/hbm.20856
|
Abstract
We have identified and studied a pronounced artifact in diffusion-weighted MRI on a clinical system. The artifact results from vibrations of the patient table due to low-frequency mechanical resonances of the system which are stimulated by the low-frequency gradient switching associated with the diffusion-weighting. The artifact manifests as localized signal-loss in images acquired with partial Fourier coverage when there is a strong component of the diffusion-gradient vector in the left–right direction. This signal loss is caused by local phase ramps in the image domain which shift the apparent k-space center for a particular voxel outside the covered region. The local signal loss masquerades as signal attenuation due to diffusion, severely disrupting the quantitative measures associated with diffusion-tensor imaging (DTI). We suggest a way to improve the interpretation of affected DTI data by including a co-regressor which accounts for the empirical response of regions affected by the artifact. We also demonstrate that the artifact may be avoided by acquiring full k-space data, and that subsequent increases in TE can be avoided by employing parallel acceleration.
| Item Type: | Article |
|---|---|
| Date Type: | Publication |
| Status: | Published |
| Schools: | Research Institutes & Centres > Cardiff University Brain Research Imaging Centre (CUBRIC) Schools > Engineering |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Uncontrolled Keywords: | diffusion imaging; DTI; vibration; artifact |
| Publisher: | Wiley-Blackwell |
| ISSN: | 1065-9471 |
| Date of Acceptance: | 11 June 2009 |
| Last Modified: | 02 Nov 2022 10:22 |
| URI: | https://orca.cardiff.ac.uk/id/eprint/98391 |
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