Motion correction in simultaneous PET/MR brain imaging using sparsely sampled MR navigators: a clinically feasible tool View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-12

AUTHORS

Sune H Keller, Casper Hansen, Christian Hansen, Flemming L Andersen, Claes Ladefoged, Claus Svarer, Andreas Kjær, Liselotte Højgaard, Ian Law, Otto M Henriksen, Adam E Hansen

ABSTRACT

BACKGROUND: We present a study performing motion correction (MC) of PET using MR navigators sampled between other protocolled MR sequences during simultaneous PET/MR brain scanning with the purpose of evaluating its clinical feasibility and the potential improvement of image quality. FINDINGS: Twenty-nine human subjects had a 30-min [(11)C]-PiB PET scan with simultaneous MR including 3D navigators sampled at six time points, which were used to correct the PET image for rigid head motion. Five subjects with motion greater than 4 mm were reconstructed into six frames (one for each navigator) which were averaged to one image after MC. The average maximum motion magnitude observed was 3.9 ± 2.4 mm (1 to 11 mm). Visual evaluation by a nuclear medicine physician of the five subjects' motion corrected rated three of the five images blurred before motion correction, while no images were rated blurred after. The image quality was scored on a scale of 1-5, 5 being best. The score changed from an average of 3.4 before motion correction to 4.0 after. There was no correlation between maximum motion magnitude and rating. Quantitative SUVr scoring did not change markedly with motion correction. CONCLUSIONS: Sparsely sampled navigators can be used for characterization and correction of head motion. A slight, overall decrease in blurring and an increase in image quality with MC was found, but without impact on clinical interpretation. In future studies with noteworthy motion artifacts, our method is an important and simple-to-use tool to have available for motion correction. More... »

PAGES

14

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40658-015-0118-z

DOI

http://dx.doi.org/10.1186/s40658-015-0118-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1052982261

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26501815


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