Noise adaptive data consistency in deep learning image reconstruction via norm ball projection

Noise adaptive data consistency in deep learning image reconstruction via norm ball projection

A computer-implemented method includes, based on scan data defining an input image, determining a reconstructed image using a reconstruction algorithm, and executing a data consistency operation for enforcing consistency between the input image and the reconstructed image. The data consistency opera...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Mostapha, Mahmoud, Nadar, Mariappan S, Arberet, Simon, Nickel, Marcel Dominik, Mailhe, Boris, Benkert, Thomas
Format: Patent
Sprache:eng
Schlagworte:
MEASURING
MEASURING ELECTRIC VARIABLES
MEASURING MAGNETIC VARIABLES
PHYSICS
TESTING
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Beschreibung
Zusammenfassung:A computer-implemented method includes, based on scan data defining an input image, determining a reconstructed image using a reconstruction algorithm, and executing a data consistency operation for enforcing consistency between the input image and the reconstructed image. The data consistency operation includes using a norm ball projection that takes into account the available noise level information in order to automatically adjust the balance between the network prediction and the input measurements.