Addressing a systematic vibration artifact in diffusion-weighted MRI

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

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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:	Cardiff University Brain Research Imaging Centre (CUBRIC) 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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