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Image quality in non-gated versus gated reconstruction of tongue motion using Magnetic Resonance Imaging

Alternative title:
A comparison using automated image processing
Abstract:
Purpose: The use of gated or ECG triggered MR is a well-established technique, and developments in coil technology have enabled this approach to be applied to areas other than the heart. However, the image quality of gated (ECG or cine) versus non-gated or real-time has not been extensively evaluated in the mouth. We evaluate two image sequences by developing an automatic image processing technique which compares how well the image represents known anatomy. Methods: Four subjects practised experimental poly-syllabic sentences prior to MR scanning. Using a 1.5 T MR unit, we acquired comparable gated (using an artificial trigger) and non-gated sagittal images during speech. We then used an image processing algorithm to model the image grey along lines that cross the airway. This involved an eight parameter non-linear equation to model of proton densities, edges, and dimensions. Results: Gated and non-gated images show similar spatial resolution, with non-gated images being slightly sharper (10% better resolution, less than 1 pixel). However, the gated sequences generated images of substantially lower inherent noise, and substantially better discrimination between air and tissue. Additionally, the gated sequences demonstrate a very much greater temporal resolution. Conclusion: Overall, image quality is better with gated imaging techniques, especially given their superior temporal resolution. Gated techniques are limited by the repeatability of the motions involved, and we have shown that speech to a metronome can be sufficiently repeatable to allow high-quality gated magnetic resonance imaging images. We suggest that gated sequences may be useful for evaluating other types of repetitive movement involving the joints and limb motions.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1007/s11548-008-0218-5

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Institution:
University of Oxford
Department:
Medical Sciences Division - Surgery
Role:
Author
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Institution:
University of Oxford
Division:
HUMS
Department:
Linguistics Philology and Phonetics Faculty
Research group:
Phonetics Laboratory
Oxford college:
Linacre College
Role:
Author
More by this author
Institution:
University of Oxford
Division:
HUMS
Department:
Linguistics Philology and Phonetics Faculty
Research group:
Phonetics Lab
Oxford college:
Wolfson College
Role:
Author
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Institution:
"University of Oxford", "National Health Service"
Role:
Author
More by this author
Institution:
University of Oxford
Department:
Medical Sciences Division - Surgery
Role:
Author


More from this funder
Funding agency for:
Coleman, J
Kochanski, G
Orphanidou, C
Grant:
RES-000-23-1094
RES-000-23-1094
RES-000-23-1094


Publisher:
Springer
Journal:
International Journal of Computer Assisted Radiology and Surgery More from this journal
Publication date:
2008-08-01
Edition:
Accepted Manuscript
DOI:
EISSN:
1861-6429
ISSN:
1861-6410

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