Patent ID: 11965946
Assignee: MAX-PLANCK-GESELLSCHAFT ZUR FÖRDERUNG DER WISSENSCHAFTEN E. V.
Field: Measurement (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. A method of processing magnetic resonance (MR) data of a sample under investigation, comprising the steps of
provision of the MR data being collected with an MRI scanner apparatus, and
machine learning based data analysis of the MR data by supplying the MR data to an artificial neural network being trained with predetermined training data, wherein
at least one image parameter of the sample and additionally at least one uncertainty quantification measure representing a prediction error of the at least one image parameter are provided by output elements of the neural network, wherein
the at least one image parameter of the sample comprises at least one CEST parameter, including Z-spectra modelled by Multi-Lorentzian regression, Henkelman-based water, MT and CEST pool regression of effect strength, proton pool sizes and exchange and relaxation rates, a pH map derived from CEST data or 31P spectroscopy data, a pseudo-PET map derived from multi-modal MRI and CEST MRI, a pseudo-CT map derived from multi-modal MRI, or a histology parameter map.