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:
Oct. 22, 2024

Filed:

Sep. 14, 2021
Applicant:

Siemens Healthineers Ag, Forchheim, DE;

Inventors:

Boris Mailhe, Plainsboro, NJ (US);

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

Simon Arberet, Princeton, NJ (US);

Mahmoud Mostapha, Princeton, NJ (US);

Assignee:

Siemens Healthineers AG, Forchheim, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06N 20/00 (2019.01); G06T 5/00 (2006.01); G06T 5/80 (2024.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); G06N 20/00 (2019.01); G06T 5/00 (2013.01); G06T 5/80 (2024.01); G06T 2207/10081 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/10104 (2013.01); G06T 2207/10108 (2013.01); G06T 2207/20081 (2013.01);
Abstract

For correction of an image from an imaging system, an inverse solution uses an imaging prior as a regularizer and a physics model of the imaging system. An invertible network is used as the deep-learnt generative model in the regularizer of the inverse solution with the physics model of the degradation behavior of the imaging system. The prior model based on the invertible network provides a closed-form expression of the prior probability, resulting in a more versatile or accurate probability prediction.


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