Strategies for deep learning‐based attenuation and scatter correction of brain 18F‐FDG PET images in the image domain

Background Attenuation and scatter correction is crucial for quantitative positron emission tomography (PET) imaging. Direct attenuation correction (AC) in the image domain using deep learning approaches has been recently proposed for combined PET/MR and standalone PET modalities lacking transmissio...

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Veröffentlicht in:	Medical physics (Lancaster) 2024-02, Vol.51 (2), p.870-880
Hauptverfasser:	Jahangir, Reza, Kamali‐Asl, Alireza, Arabi, Hossein, Zaidi, Habib
Format:	Artikel
Sprache:	eng
Schlagworte:	attenuation correction deep learning PET quantitative imaging radiomics
Online-Zugang:	Volltext
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