Neural network-aided unsupervised input function estimation for dual-time-window PET Patlak analysis Article Swipe

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Wenrui Shao , Yarong Zhang , Fen Du , Fangxiao Cheng , Yixin Chen , Xiangxi Meng , Ying Liang , Zhaoheng Xie ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1186/s40658-025-00804-w

We demonstrate the feasibility of using a weighted statistic, constructed from a multi-branch neural network, to accurately estimate the complete IF. This approach enables the generation of high-quality parametric images with shortened scan protocols, effectively reducing scanning time while ensuring accurate Patlak analysis.

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Type: article
Language: en
Landing Page: https://doi.org/10.1186/s40658-025-00804-w
OA Status: gold
References: 23
OpenAlex ID: https://openalex.org/W4417100939

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DOI: https://doi.org/10.1186/s40658-025-00804-w

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Title: Neural network-aided unsupervised input function estimation for dual-time-window PET Patlak analysis

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Language: en

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Publication year: 2025

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Publication date: 2025-12-08

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Authors: Wenrui Shao, Yarong Zhang, Fen Du, Fangxiao Cheng, Yixin Chen, Xiangxi Meng, Ying Liang, Zhaoheng Xie

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Landing page: https://doi.org/10.1186/s40658-025-00804-w

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OA status: gold

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OA URL: https://doi.org/10.1186/s40658-025-00804-w

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Cited by: 0

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References (count): 23

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