CPC G06T 7/0012 (2013.01) [A61B 5/055 (2013.01); A61B 5/4244 (2013.01); A61B 5/7267 (2013.01); G01R 33/4828 (2013.01); G01R 33/5608 (2013.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G16H 10/60 (2018.01); G16H 30/20 (2018.01); G16H 50/20 (2018.01); A61B 2576/02 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30056 (2013.01)] | 20 Claims |
1. A computer-implemented method for automatically characterizing liver tissue of a patient, comprising:
receiving, via a first interface, a morphological magnetic resonance image data set and a magnetic resonance parameter map,
wherein the morphological magnetic resonance image data set and the magnetic resonance parameter map are each acquired via a magnetic resonance imaging device;
applying, via one or more processors, a trained function comprising a neural network to input data, the input data comprising the morphological magnetic resonance image data set and the magnetic resonance parameter map; and
providing, via a second interface, generated output data comprising a tissue score describing the liver tissue,
wherein the input data further comprises a magnetic resonance elastography data set of an imaging region comprising at least a portion of the liver tissue of the patient.
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