Deep learning-assisted ultra-fast/low-dose whole-body PET/CT imaging

Purpose Tendency is to moderate the injected activity and/or reduce acquisition time in PET examinations to minimize potential radiation hazards and increase patient comfort. This work aims to assess the performance of regular full-dose (FD) synthesis from fast/low-dose (LD) whole-body (WB) PET imag...

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Veröffentlicht in:	European journal of nuclear medicine and molecular imaging 2021-07, Vol.48 (8), p.2405-2415
Hauptverfasser:	Sanaat, Amirhossein, Shiri, Isaac, Arabi, Hossein, Mainta, Ismini, Nkoulou, René, Zaidi, Habib
Format:	Artikel
Sprache:	eng
Schlagworte:	Advanced Image Analyses (Radiomics and Artificial Intelligence) Artificial neural networks Bias Brain Cardiology Computed tomography Confidence intervals Deep Learning Fluorine isotopes Fluorodeoxyglucose F18 Generative adversarial networks Hazard assessment Humans Image acquisition Image quality Imaging Lesions Medical imaging Medicine Medicine & Public Health Neural networks Neuroimaging Nuclear Medicine Oncology Original Original Article Orthopedics Physicians Positron emission Positron emission tomography Positron Emission Tomography Computed Tomography Radiation hazards Radiology Tomography Tomography, X-Ray Computed
Online-Zugang:	Volltext
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