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. 04, 2020

Filed:

Jan. 18, 2019
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Pascal Ceccaldi, Princeton, NJ (US);

Xiao Chen, Princeton, NJ (US);

Boris Mailhe, Plainsboro, NJ (US);

Benjamin L. Odry, West New York, NJ (US);

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

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 15/08 (2011.01); G01R 33/56 (2006.01); A61B 6/00 (2006.01); G06T 7/00 (2017.01); G06N 20/00 (2019.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06T 15/08 (2013.01); A61B 6/5205 (2013.01); G01R 33/5608 (2013.01); G06N 3/084 (2013.01); G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30016 (2013.01);
Abstract

Systems and methods are provided for generating segmented output from input regardless of the resolution of the input. A single trained network is used to provide segmentation for an input regardless of a resolution of the input. The network is recursively trained to learn over large variations in the input data including variations in resolution. During training, the network refines its prediction iteratively in order to produce a fast and accurate segmentation that is robust across resolution differences that are produced by MR protocol variations.


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