Gibbs ringing in diffusion MRI. Issue 1 (10th August 2015)
- Record Type:
- Journal Article
- Title:
- Gibbs ringing in diffusion MRI. Issue 1 (10th August 2015)
- Main Title:
- Gibbs ringing in diffusion MRI
- Authors:
- Veraart, Jelle
Fieremans, Els
Jelescu, Ileana O.
Knoll, Florian
Novikov, Dmitry S. - Abstract:
- Abstract : Purpose: To study and reduce the effect of Gibbs ringing artifact on computed diffusion parameters. Methods: We reduce the ringing by extrapolating the k‐space of each diffusion weighted image beyond the measured part by selecting an adequate regularization term. We evaluate several regularization terms and tune the regularization parameter to find the best compromise between anatomical accuracy of the reconstructed image and suppression of the Gibbs artifact. Results: We demonstrate empirically and analytically that the Gibbs artifact, which is typically observed near sharp edges in magnetic resonance images, has a significant impact on the quantification of diffusion model parameters, even for infinitesimal diffusion weighting. We find the second order total generalized variation to be a good choice for the penalty term to regularize the extrapolation of the k‐space, as it provides a parsimonious representation of images, a practically full suppression of Gibbs ringing, and the absence of staircasing artifacts typical for total variation methods. Conclusions: Regularized extrapolation of the k‐space data significantly reduces truncation artifacts without compromising spatial resolution in comparison to the default option of window filtering. In particular, accuracy of estimating diffusion tensor imaging and diffusion kurtosis imaging parameters improves so much that unconstrained fits become possible. Magn Reson Med 76:301–314, 2016. © 2015 Wiley Periodicals,Abstract : Purpose: To study and reduce the effect of Gibbs ringing artifact on computed diffusion parameters. Methods: We reduce the ringing by extrapolating the k‐space of each diffusion weighted image beyond the measured part by selecting an adequate regularization term. We evaluate several regularization terms and tune the regularization parameter to find the best compromise between anatomical accuracy of the reconstructed image and suppression of the Gibbs artifact. Results: We demonstrate empirically and analytically that the Gibbs artifact, which is typically observed near sharp edges in magnetic resonance images, has a significant impact on the quantification of diffusion model parameters, even for infinitesimal diffusion weighting. We find the second order total generalized variation to be a good choice for the penalty term to regularize the extrapolation of the k‐space, as it provides a parsimonious representation of images, a practically full suppression of Gibbs ringing, and the absence of staircasing artifacts typical for total variation methods. Conclusions: Regularized extrapolation of the k‐space data significantly reduces truncation artifacts without compromising spatial resolution in comparison to the default option of window filtering. In particular, accuracy of estimating diffusion tensor imaging and diffusion kurtosis imaging parameters improves so much that unconstrained fits become possible. Magn Reson Med 76:301–314, 2016. © 2015 Wiley Periodicals, Inc. … (more)
- Is Part Of:
- Magnetic resonance in medicine. Volume 76:Issue 1(2016)
- Journal:
- Magnetic resonance in medicine
- Issue:
- Volume 76:Issue 1(2016)
- Issue Display:
- Volume 76, Issue 1 (2016)
- Year:
- 2016
- Volume:
- 76
- Issue:
- 1
- Issue Sort Value:
- 2016-0076-0001-0000
- Page Start:
- 301
- Page End:
- 314
- Publication Date:
- 2015-08-10
- Subjects:
- total variation -- extrapolation -- truncation artifact -- diffusion kurtosis imaging -- diffusion tensor imaging
Nuclear magnetic resonance -- Periodicals
Electron paramagnetic resonance -- Periodicals
616.07548 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1522-2594 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/mrm.25866 ↗
- Languages:
- English
- ISSNs:
- 0740-3194
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5337.798000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 369.xml