How Do the More Recent Reconstruction Algorithms Affect the Interpretation Criteria of PET/CT Images?

Antonella MattiGiacomo Maria LimaCinzia PettinatoFrancesca PietrobonFelice MartinelliStefano Fanti

Published in: Nuclear medicine and molecular imaging (2019)

Q.Clear is an iterative algorithm that improves significantly the quality of PET images compared to OSEM, increasing the SUVmax of findings (in particular for small findings) and the signal-to-noise ratio. However, due to the intrinsic characteristics of this algorithm, it will be necessary to adapt and/or modify the current interpretative criteria based of quantitative evaluation, to avoid an overestimation of the disease burden.

Keyphrases

pet ct
deep learning
machine learning
convolutional neural network
positron emission tomography
optical coherence tomography
quality improvement
neural network
clinical evaluation
dual energy