A new methodology to derive 3D kinetic parametric FDG PET images based on a mathematical approach integrating an error model of measurement

Abstract Background In FDG-PET, SUV images are hampered by large potential biases. Our aim was to develop an alternative method (ParaPET) to generate 3D kinetic parametric FDG-PET images easy to perform in clinical oncology. Methods The key points of our method are the use of a new error model of PE...

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Autors principals:	Elyse Colard, Sarkis Delcourt, Laetitia Padovani, Sébastien Thureau, Arthur Dumouchel, Pierrick Gouel, Justine Lequesne, Bardia Farman Ara, Pierre Vera, David Taïeb, Isabelle Gardin, Dominique Barbolosi, Sébastien Hapdey
Format:	Artigo
Idioma:	Inglês
Publicat:	SpringerOpen 2018-11-01
Col·lecció:	EJNMMI Research
Matèries:	Dynamic PET Parametric imaging FDG kinetics Lung cancer Quantification
Accés en línia:	http://link.springer.com/article/10.1186/s13550-018-0454-9
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