The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jul. 16, 2024

Filed:

Sep. 13, 2021
Applicant:

Siemens Healthineers Ag, Forchheim, DE;

Inventors:

Simon Arberet, Princeton, NJ (US);

Boris Mailhe, Plainsboro, NJ (US);

Thomas Benkert, Neunkirchen am Brand, DE;

Marcel Dominik Nickel, Herzogenaurach, DE;

Mahmoud Mostapha, Princeton, NJ (US);

Mariappan S. Nadar, Plainsboro, NJ (US);

Assignee:

Siemens Healthineers AG, Forchheim, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01); G06N 3/08 (2023.01); G16H 30/20 (2018.01);
U.S. Cl.
CPC ...
G06T 11/003 (2013.01); G06N 3/08 (2013.01); G16H 30/20 (2018.01);
Abstract

For reconstruction in medical imaging using a scan protocol with repetition, a machine learning model is trained for reconstruction of an image for each repetition. Rather than using a loss for that repetition in training, the loss based on an aggregation of images reconstructed from multiple repetitions is used to train the machine learning model. This loss for reconstruction of one repetition based on aggregation of reconstructions for multiple repetitions is based on deep set-based deep learning. The resulting machine-learned model may better reconstruct an image from a given repetition and/or a combined image from multiple repetitions than a model learned from a loss per repetition.


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