Method and apparatus for processing magnetic resonance data

US11169235B2 · kind B2 · utility

Assignees

• Max-Planck-Gesellschaft zur Föderung der Wissenschaften e.V. · US
• Eberhard Karls Universität Tübingen · DE

Inventors

• Moritz Zaiss · Erlangen, DE
• Anagha Deshmane · Cleveland Heights, US
• Klaus Scheffler · Basel, CH

Key dates

• Filing date: Aug 29, 2019
• Grant date: Nov 9, 2021
• Expiry date: Jun 10, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/20084
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

A method of processing magnetic resonance (MR) data of a sample under investigation, includes the steps of providing the MR data being collected with an MRI scanner apparatus, and subjecting the MR data to a multi-parameter nonlinear regression procedure being based on a non-linear MR model and employing a set of input parameters, wherein the regression procedure results in creating a parameter map of model parameters of the sample, wherein the input parameters (initial values and possibly boundaries) of the regression procedure are estimated by a machine learning based estimation procedure applied to the MR data. The machine learning based estimation procedure preferably includes at least one of at least one neural network and a support vector machine. Furthermore, an MRI scanner apparatus is described.