Insertion of synthetic lesions on patient data: a method for evaluating clinical performance differences between PET systems.

Quentin MaronnierNesrine RobaineLéonor ChaltielLawrence O DierickxThibaut Cassou-MounatMarie TerroirLavinia VijaDelphine VallotSéverine BrillouetChloé LamesaThomas FilleronOlivier CasellesFrédéric Courbon

Published in: EJNMMI physics (2024)

ISL proved relevant to evaluate performance differences between PET scanners. Using these synthetically modified clinical images, we can produce a controlled ground truth in a realistic anatomical model and exploit the potential of PET scanner for clinical purposes.

Keyphrases

computed tomography
positron emission tomography
magnetic resonance imaging
pet imaging
electronic health record
optical coherence tomography
artificial intelligence
convolutional neural network