Neural networks with personalized training for improved MOLLI T1 mapping

Neural networks with personalized training for improved MOLLI T1 mapping

Abstract Background The aim of this study was to develop a method for personalized training of Deep Neural Networks by means of an MRI simulator to improve MOLLI native T1 estimates relative to conventional fitting methods. Methods The proposed Personalized Training Neural Network (PTNN) for T1 mapp...

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Bibliographic Details
Main Authors: Olympia Gkatsoni, Christos G. Xanthis, Sebastian Johansson, Einar Heiberg, Håkan Arheden, Anthony H. Aletras
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Imaging
Subjects:
Cardiac MRI
Deep learning
T1 mapping
MRI simulator
Online Access:https://doi.org/10.1186/s12880-025-01769-z
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