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-List Of Titles -Refraction-compensated motion tracking of unrestrained small animals in positron emission tomography

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/191247

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Title
Refraction-compensated motion tracking of unrestrained small animals in positron emission tomography
Related
Medical image analysis, Vol. 16, No. 6, (2012), p.1317-1328
DOI
10.1016/j.media.2012.04.005
Publisher
Elsevier
Date
2012
Author/Creator
Kyme, Andre
Author/Creator
Meikle, Steven
Author/Creator
Baldock, Clive
Author/Creator
Fulton, Roger
Description
Motion-compensated radiotracer imaging of fully conscious rodents represents an important paradigm shift for preclinical investigations. In such studies, if motion tracking is performed through a transparent enclosure containing the awake animal, light refraction at the interface will introduce errors in stereo pose estimation. We have performed a thorough investigation of how this impacts the accuracy of pose estimates and the resulting motion correction, and developed an efficient method to predict and correct for refraction-based error. The refraction model underlying this study was validated using a state-of-the-art motion tracking system. Refraction-based error was shown to be dependent on tracking marker size, working distance, and interface thickness and tilt. Correcting for refraction error improved the spatial resolution and quantitative accuracy of motion-corrected positron emission tomography images. Since the methods are general, they may also be useful in other contexts where data are corrupted by refraction effects.
Description
12 page(s)
Subject Keyword
Positron emission tomography
Subject Keyword
Refraction
Subject Keyword
Stereo motion tracking
Subject Keyword
Triangulation
Resource Type
journal article
Organisation
Macquarie University. Faculty of Science

Identifier
http://hdl.handle.net/1959.14/191247
Identifier
ISSN:1361-8415
Identifier
mq_res-ext-2-s2.0-84866136516
Language
eng
Reviewed
Reviewed
Save/E-mail Citation
Citation Format
E-mail Address
Subject
"Medical image analysis"
 
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