Physical phantom validation of clustering‐initiated factorization in dynamic PET

This work formulated an innovative process by combining a physical phantom design with PET images for evaluating the application of CIFA in the extraction of dynamic TACs from dynamic PET image data. In most cases the CIFA algorithm accurately reproduced the dynamics of the phantom simulated data.

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Publication Details

Journal
Medical Physics
Published
2025-05-31
DOI
https://doi.org/10.1002/mp.17902
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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Physical phantom validation of clustering‐initiated factorization in dynamic PET

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Medical Imaging Techniques and Applications
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Physical phantom validation of clustering‐initiated factorization in dynamic PET

G.T. Gullberg, Mustafa Janabi, Woon‐Seng Choong, Suzanne L. Baker, Debasis Mitra, Valerie Kobzarenko, Youngho Seo, Rostyslav Boutchko
article en

Abstract

This work formulated an innovative process by combining a physical phantom design with PET images for evaluating the application of CIFA in the extraction of dynamic TACs from dynamic PET image data. In most cases the CIFA algorithm accurately reproduced the dynamics of the phantom simulated data.

Medical PhysicsVol. 52(7)
Florida Institute of Technology (US), Lawrence Berkeley National Laboratory (US), University of California, San Francisco (US), University of California System (US)
National Science Foundation, National Institutes of Health
Openalex Percentile: Top 81%
Medical Imaging Techniques and Applications
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