Estimation of optimal number of gates in dual gated 18F-FDG cardiac PET

Gating of positron emission tomography images has been shown to reduce the motion effects, especially when imaging small targets, such as coronary plaques. However, the selection of optimal number of gates for gating remains a challenge. Selecting too high number of gates results in a loss of signal...

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Bibliographic Details
Published in:Scientific reports 2020-11, Vol.10 (1), p.19362-19362, Article 19362
Main Authors: Klén, R., Teuho, J., Noponen, T., Thielemans, K., Hoppela, E., Lehtonen, E., Sipila, H. T., Teräs, M., Knuuti, J.
Format: Article
Language:English
Subjects:
639/766/930/2735
692/4019/592/75
Clinical medicine
Gates
Gating
Heart
Humanities and Social Sciences
multidisciplinary
Myocardium
Patients
Plaques
Positron emission tomography
Respiration
Scanners
Science
Science (multidisciplinary)
Spirometry
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Summary:Gating of positron emission tomography images has been shown to reduce the motion effects, especially when imaging small targets, such as coronary plaques. However, the selection of optimal number of gates for gating remains a challenge. Selecting too high number of gates results in a loss of signal-to-noise ratio, while too low number of gates does remove only part of the motion. Here, we introduce a respiratory-cardiac motion model to determine the optimal number of respiratory and cardiac gates. We evaluate the model using a realistic heart phantom and data from 12 cardiac patients (47–77 years, 64.5 on average). To demonstrate the benefits of our model, we compared it with an existing respiratory model. Based on our study, the optimal number of gates was determined to be five respiratory and four cardiac gates in the phantom and patient studies. In the phantom study, the diameter of the most active hot spot was reduced by 24% in the dual gated images compared to non-gated images. In the patient study, the thickness of myocardium wall was reduced on average by 21%. In conclusion, the motion model can be used for estimating the optimal number of respiratory and cardiac gates for dual gating.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-020-75613-5