An Adaptive Thresholding Method for BTV Estimation Incorporating PET Reconstruction Parameters: A Multicenter Study of the Robustness and the Reliability.

M BrambillaR MatheoudC BasileC BraccoI CastiglioniC CavedonM CremonesiS MorzentiF FioroniM GiriF BottaF GallivanoneE GrassiMassimiliano Pacilio E De PontiM StasiS PasettoS ValzanoD Zanni

Published in: Computational and mathematical methods in medicine (2015)

Incorporation of postreconstruction filtering FWHM in an adaptive thresholding algorithm for the BTV estimation allows obtaining a robust and reliable method to be applied to a variety of different scanners, without scanner-specific individual calibration.

Keyphrases

machine learning
computed tomography
deep learning
pet ct
positron emission tomography
magnetic resonance imaging
contrast enhanced