dc.contributor.author |
Aksoy, Murat |
en |
dc.contributor.author |
Forman, Christoph |
en |
dc.contributor.author |
Straka, Matus |
en |
dc.contributor.author |
Skare, Stefan |
en |
dc.contributor.author |
Holdsworth, Samantha |
en |
dc.contributor.author |
Hornegger, Joachim |
en |
dc.contributor.author |
Bammer, Roland |
en |
dc.date.accessioned |
2018-11-13T23:29:54Z |
en |
dc.date.issued |
2011-08 |
en |
dc.identifier.issn |
0740-3194 |
en |
dc.identifier.uri |
http://hdl.handle.net/2292/44226 |
en |
dc.description.abstract |
Head motion is a fundamental problem in brain MRI. The problem is further compounded in diffusion tensor imaging because of long acquisition times, and the sensitivity of the tensor computation to even small misregistration. To combat motion artifacts in diffusion tensor imaging, a novel real-time prospective motion correction method was introduced using an in-bore monovision system. The system consists of a camera mounted on the head coil and a self-encoded checkerboard marker that is attached to the patient's forehead. Our experiments showed that optical prospective motion correction is more effective at removing motion artifacts compared to image-based retrospective motion correction. Statistical analysis revealed a significant improvement in similarity between diffusion data acquired at different time points when prospective correction was used compared to retrospective correction (P<0.001). |
en |
dc.format.medium |
Print-Electronic |
en |
dc.language |
eng |
en |
dc.relation.ispartofseries |
Magnetic resonance in medicine |
en |
dc.rights |
Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. |
en |
dc.rights.uri |
https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm |
en |
dc.subject |
Brain |
en |
dc.subject |
Humans |
en |
dc.subject |
Image Interpretation, Computer-Assisted |
en |
dc.subject |
Magnetic Resonance Imaging |
en |
dc.subject |
Diffusion Magnetic Resonance Imaging |
en |
dc.subject |
Image Enhancement |
en |
dc.subject |
Artifacts |
en |
dc.subject |
Sensitivity and Specificity |
en |
dc.subject |
Reproducibility of Results |
en |
dc.subject |
Algorithms |
en |
dc.subject |
Motion |
en |
dc.subject |
Computer Systems |
en |
dc.title |
Real-time optical motion correction for diffusion tensor imaging. |
en |
dc.type |
Journal Article |
en |
dc.identifier.doi |
10.1002/mrm.22787 |
en |
pubs.issue |
2 |
en |
pubs.begin-page |
366 |
en |
pubs.volume |
66 |
en |
dc.rights.holder |
Copyright: The author |
en |
dc.identifier.pmid |
21432898 |
en |
pubs.end-page |
378 |
en |
pubs.publication-status |
Published |
en |
dc.rights.accessrights |
http://purl.org/eprint/accessRights/RestrictedAccess |
en |
pubs.subtype |
Research Support, Non-U.S. Gov't |
en |
pubs.subtype |
research-article |
en |
pubs.subtype |
Evaluation Studies |
en |
pubs.subtype |
Journal Article |
en |
pubs.subtype |
Research Support, N.I.H., Extramural |
en |
pubs.elements-id |
683336 |
en |
pubs.org-id |
Medical and Health Sciences |
en |
pubs.org-id |
Medical Sciences |
en |
pubs.org-id |
Anatomy and Medical Imaging |
en |
dc.identifier.eissn |
1522-2594 |
en |
pubs.record-created-at-source-date |
2011-07-20 |
en |
pubs.dimensions-id |
21432898 |
en |