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

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...

Full description

Bibliographic Details
Main Authors: 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: Article
Language:English
Published: SpringerOpen 2018-11-01
Series:EJNMMI Research
Subjects:
Dynamic PET
Parametric imaging
FDG kinetics
Lung cancer
Quantification
Online Access:http://link.springer.com/article/10.1186/s13550-018-0454-9

Internet

http://link.springer.com/article/10.1186/s13550-018-0454-9

Similar Items