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:
Mar. 10, 2020

Filed:

Oct. 09, 2017
Applicant:

Siemens Healthcare Gmbh, Erlangen, DE;

Inventors:

Mingqing Chen, Plainsboro, NJ (US);

Tae Soo Kim, Baltimore, MD (US);

Jan Kretschmer, Nürnberg, DE;

Sebastian Seifert, Erlangen, DE;

Shaohua Kevin Zhou, Plainsboro, NJ (US);

Max Schöbinger, Hirschaid, DE;

David Liu, Plano, TX (US);

Zhoubing Xu, Plainsboro, NJ (US);

Sasa Grbic, Plainsboro, NJ (US);

He Zhang, Edison, NJ (US);

Assignee:

Siemens Healthcare GmbH, Erlangen, DE;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
A61B 6/00 (2006.01); G06T 7/136 (2017.01); G06T 7/11 (2017.01); A61B 6/03 (2006.01); G06K 9/34 (2006.01);
U.S. Cl.
CPC ...
A61B 6/5252 (2013.01); A61B 6/03 (2013.01); A61B 6/504 (2013.01); G06K 9/34 (2013.01); G06T 7/11 (2017.01); G06T 7/136 (2017.01); G06T 2200/04 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20036 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30008 (2013.01); G06T 2207/30101 (2013.01);
Abstract

A method and apparatus for deep learning based automatic bone removal in medical images, such as computed tomography angiography (CTA) volumes, is disclosed. Bone structures are segmented in a 3D medical image of a patient by classifying voxels of the 3D medical image as bone or non-bone voxels using a deep neural network trained for bone segmentation. A 3D visualization of non-bone structures in the 3D medical image is generated by removing voxels classified as bone voxels from a 3D visualization of the 3D medical image.


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