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:
Sep. 10, 2024

Filed:

Jun. 08, 2021
Applicant:

Siemens Healthineers Ag, Forchheim, DE;

Inventors:

Boris Mailhe, Plainsboro, NJ (US);

Charles Millard, Oxford, GB;

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

Assignee:

Siemens Healthineers AG, Forchheim, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01); G01R 33/3415 (2006.01); G01R 33/385 (2006.01); G01R 33/483 (2006.01); G01R 33/56 (2006.01); G01R 33/561 (2006.01);
U.S. Cl.
CPC ...
G06T 11/005 (2013.01); G01R 33/3415 (2013.01); G01R 33/3854 (2013.01); G01R 33/483 (2013.01); G01R 33/5608 (2013.01); G01R 33/5611 (2013.01); G06T 11/006 (2013.01); G06T 11/008 (2013.01); G06T 2210/41 (2013.01); G06T 2211/424 (2013.01);
Abstract

In one approach, VDAMP is improved to allow multiple coils. The aliasing is modeled in the wavelet domain with spatial modulation for each of the frequency subbands. The spatial modulation uses the coil sensitivities. As a result of the spatial modulation, the aliasing modeling more closely models the variance allowing the regularization to use denoising operations. In another approach, the regularization computation may be simplified by using a machine-learned network in VDAMP. To account for the aliasing modeling of VDAMP, a convolutional neural network is trained with input of both the noisy image and the covariances of the aliasing model.


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