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:
Aug. 08, 2023

Filed:

Nov. 23, 2020
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Gregor Koerzdoerfer, Erlangen, DE;

Mathias Nittka, Baiersdorf, DE;

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01); G01R 33/48 (2006.01); G01R 33/56 (2006.01); G06N 3/084 (2023.01);
U.S. Cl.
CPC ...
G06T 11/008 (2013.01); G01R 33/482 (2013.01); G01R 33/4824 (2013.01); G01R 33/5608 (2013.01); G06N 3/084 (2013.01); G06T 11/005 (2013.01); G06T 11/006 (2013.01);
Abstract

In a method for generating an image dataset and one reference image dataset: a first raw dataset is provided that is recorded using a MR system, the first raw dataset including measurement signals at readout points in k-space that lie on a first k-space trajectory; a second raw dataset is provided that is recorded using the same MR system and on the same examination object, the second raw dataset including measurement signals at readout points in k-space that lie on a second, different k-space trajectory; image datasets are reconstructed from the first raw dataset, where a separate equalization coefficient set is used before the reconstruction of each image dataset; a reference image dataset is reconstructed from the second raw dataset; the reference image data set is compared with each image dataset to generate respective similarity values; and the image dataset is selected with a greatest similarity value.


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