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

Elyse Colard,Sarkis Delcourt,Laetitia Padovani,S. Thureau,Arthur Dumouchel,Pierrick Gouel,J. Lequesne,Bardia Farman-Ara,Pierre Vera,David Taïeb,Isabelle Gardin,Dominique Barbolosi,S. Hapdey

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

2018

Elyse Colard
Sarkis Delcourt
Laetitia Padovani
S. Thureau
Arthur Dumouchel
Pierrick Gouel
J. Lequesne
Bardia Farman-Ara
Pierre Vera
David Taïeb
Isabelle Gardin
Dominique Barbolosi
S. Hapdey

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.

Keywords:

Medical physics
Clinical Oncology
Parametric statistics
Cardiac imaging
Computer science
parametric imaging
Pattern recognition
Artificial intelligence
alternative methods

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