Methods for Estimating Mechanical Properties from Magnetic Resonance Elastography Data Using Artificial Neural Networks

摘要

Described here are systems and methods for magnetic resonance elastography (“MRE”), or other imaging-based elastography techniques, in which a machine learning approach, such as an artificial neural network, is implemented to perform an inversion of displacement data in order to generate estimates of the mechanical properties, such as stiffness and damping ratio, of tissues in a subject.