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:
Mar. 26, 2024

Filed:

Apr. 21, 2022
Applicants:

Siemens Healthcare Gmbh, Erlangen, DE;

The University of Queensland, Brisbane, AU;

Inventors:

Kieran O'Brien, West End, AU;

Jin Jin, Chapel Hill, AU;

Steffen Bollmann, St Lucia, AU;

Markus Barth, St Lucia, AU;

Francesco Cognolato, Casalserugo Pd, IT;

Assignee:

Siemens Healthineers AG, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01R 33/56 (2006.01); G06N 3/045 (2023.01); G06N 3/084 (2023.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G01R 33/5608 (2013.01); G06N 3/045 (2023.01); G06N 3/084 (2013.01); G06V 10/82 (2022.01);
Abstract

A training method for training neural networks to determine a magnetic susceptibility distribution of a sample may include: storing a simulated magnetic susceptibility map of the sample, generating a modified magnetic susceptibility map by combining an influence of one or more external magnetic susceptibility sources with the simulated magnetic susceptibility map and storing the modified magnetic susceptibility maps. The method may include generating a first training image by applying a quantitative susceptibility mapping model the modified magnetic susceptibility map and storing the first training image, applying the first neural network to the first image and a second neural network to an output of the first neural network and changing network parameters of the first and the second neural network depending on a deviation of an output of the second artificial neural network from the simulated magnetic susceptibility map.


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