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:
Jan. 01, 2019

Filed:

Dec. 20, 2016
Applicant:

Elekta, Inc., Atlanta, GA (US);

Inventors:

Lyndon Stanley Hibbard, St. Louis, MO (US);

Xiao Han, Chesterfield, MO (US);

Assignee:

Elekta, Inc., Atlanta, GA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/00 (2017.01); G06T 7/38 (2017.01); A61B 6/03 (2006.01); A61B 6/00 (2006.01); G06K 9/62 (2006.01); G06K 9/66 (2006.01); G06T 7/30 (2017.01); G06T 7/11 (2017.01); G06T 7/143 (2017.01);
U.S. Cl.
CPC ...
G06T 7/0012 (2013.01); A61B 6/032 (2013.01); A61B 6/5294 (2013.01); G06K 9/6254 (2013.01); G06K 9/6256 (2013.01); G06K 9/6267 (2013.01); G06K 9/66 (2013.01); G06T 7/11 (2017.01); G06T 7/143 (2017.01); G06T 7/30 (2017.01); G06T 7/38 (2017.01); G06T 7/97 (2017.01); G06K 2209/051 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20128 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30081 (2013.01);
Abstract

Embodiments disclose a method and system for segmenting medical images. In certain embodiments, the system comprises a database configured to store a plurality of medical images acquired by an image acquisition device. The plurality of images include at least one first medical image of an object, and a second medical image of the object, each first medical image associated with a first structure label map. The system further comprises a processor that is configured to register the at least one first medical image to the second medical image, determine a classifier model using the registered first medical image and the corresponding first structure label map, and determine a second structure label map associated with the second medical image using the classifier model.


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