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:
Dec. 12, 2023

Filed:

Jan. 09, 2018
Applicant:

Shimadzu Corporation, Kyoto, JP;

Inventors:

Wataru Takahashi, Kyoto, JP;

Shota Oshikawa, Kyoto, JP;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2022.01); G08B 17/12 (2006.01); A61B 6/03 (2006.01); A61B 6/00 (2006.01); G06T 7/00 (2017.01);
U.S. Cl.
CPC ...
A61B 6/03 (2013.01); A61B 6/481 (2013.01); A61B 6/487 (2013.01); A61B 6/504 (2013.01); A61B 6/505 (2013.01); A61B 6/5211 (2013.01); G06T 7/0012 (2013.01); G06T 2207/10121 (2013.01); G06T 2207/10124 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30008 (2013.01); G06T 2207/30101 (2013.01);
Abstract

An image generating device for generating an image which is an X-ray image of an area including a bone portion of a subject with the bone portion removed has a control unitincluding: a DRR imagerconfigured to generate a first DRR image of an area including a bone portion and a second DRR image showing the bone portion, by performing, for a set of CT image data of an area including the bone portion of a subject, a virtual fluoroscopic projection simulating a geometric fluoroscopy condition of an X-ray irradiator and an X-ray detector for the subject; a training sectionconfigured to generate a machine learning model for recognizing the bone portion, by performing machine learning using the first DRR image and the second DRR image serving as a training image; an image converterconfigured to perform conversion of the X-ray image of the area including the bone portion of the subject, using the machine learning model trained in the training section, to generate an image showing the bone portion; and a bone portion subtractorconfigured to subtract the image showing the bone portion from the X-ray image of the area including the bone portion of the subject.


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