MRXCAT2.0: Synthesis of realistic numerical phantoms by combining left-ventricular shape learning, biophysical simulations and tissue texture generation

Abstract Background Standardised performance assessment of image acquisition, reconstruction and processing methods is limited by the absence of images paired with ground truth reference values. To this end, we propose MRXCAT2.0 to generate synthetic data, covering healthy and pathological function,...

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Bibliographic Details
Main Authors: Stefano Buoso, Thomas Joyce, Nico Schulthess, Sebastian Kozerke
Format: Article
Language:English
Published: BMC 2023-04-01
Series:Journal of Cardiovascular Magnetic Resonance
Subjects:
Online Access:https://doi.org/10.1186/s12968-023-00934-z