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Assessing reliability of myocardial blood flow after motion correction with dynamic PET using a Bayesian framework

Abstract:

The estimation of myocardial blood flow (MBF) in dynamic PET can be biased by many different processes. A major source of error, particularly in clinical applications, is patient motion. Patient motion, or gross motion, creates displacements between different PET frames as well as between the PET frames and the CT-derived attenuation map, leading to errors in MBF calculation from voxel time series. Motion correction techniques are challenging to evaluate quantitatively and the impact on MBF r...

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Publication status:
Published
Peer review status:
Peer reviewed

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Files:
Publisher copy:
10.1109/TMI.2018.2881992

Authors


Publisher:
IEEE Publisher's website
Journal:
IEEE Transactions on Medical Imaging Journal website
Volume:
38
Issue:
5
Pages:
1216-1226
Publication date:
2018-11-19
Acceptance date:
2018-11-09
DOI:
EISSN:
1558-254X
ISSN:
0278-0062
Source identifiers:
942579
Keywords:
Pubs id:
pubs:942579
UUID:
uuid:e475fb05-761e-415c-87b0-e46ed3ec47e5
Local pid:
pubs:942579
Deposit date:
2018-11-15

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