Reconstruction with user-defined characteristic strength
AssigneeSiemens Healthineers AG
InventorsMahmoud Mostapha, Boris Mailhe, Marcel Dominik Nickel, Gregor Körzdörfer, Simon Arberet, Mariappan S. Nadar
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Abstract
For reconstruction in medical imaging, user control of a characteristic (e.g., noise level) of the reconstructed image is provided. A machine-learned model alters the reconstructed image to enhance or reduce the characteristic. The user selected level of characteristic is then provided by combining the reconstructed image with the altered image based on the input level of the characteristic. Personalized or more controllable impression for medical imaging reconstruction is provided without requiring different reconstructions.
Claims13
A method of reconstruction for a medical imaging system, the method comprising:
- scanning a patient by the medical imaging system, the scanning acquiring scan data;
- reconstructing an object of the patient from the scan data;
- altering a characteristic of the reconstructed object by application of the reconstructed object to a machine-learned network;
- combining the reconstructed object with an output of the machine-learned network based on an input level;
- and
- displaying an image from the combination.
Dependencies are inferred from the claim text.