AI-powered histological fingerprinting
AssigneeSiemens Healthineers AG
InventorsMahmoud Mostapha, Dorin Comaniciu, Mariappan S. Nadar
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Abstract
Systems and methods for AI-powered histological fingerprinting in magnetic resonance imaging. MR signal data of an object is acquired using a high sensitivity scanner. Ground truth tissue microstructure data is acquired for the object. A forward model is learned using machine learning. The forward model is used to generate a dictionary or to train a model to map the signals to the histological parameters including the tissue microstructure of a scanner object. A signal-to-signal translation model is also provided to provide signals with improved sensitivity.
Claims8
A system for histological fingerprinting, the system comprising:
- an MRI scanner configured to generate signal evolutions for a sequence while scanning a patient;
- a histological forward model learned using machine learning, the histological forward model configured to input tissue microstructure properties and output signal evolutions;
- a histological dictionary created using the histological forward model;
- and
- an image processor configured to reconstruct an image including at least tissue microstructure properties of the patient, wherein the tissue microstructure properties of the patient are determined using the histological dictionary to map the signal evolutions to the tissue microstructure properties.
Dependencies are inferred from the claim text.