US 11,839,501 B2
Image creation device
Wataru Takahashi, Kyoto (JP); and Shota Oshikawa, Kyoto (JP)
Assigned to Shimadzu Corporation, Kyoto (JP)
Appl. No. 16/959,814
Filed by Shimadzu Corporation, Kyoto (JP)
PCT Filed Jan. 9, 2018, PCT No. PCT/JP2018/000154
§ 371(c)(1), (2) Date Oct. 19, 2020,
PCT Pub. No. WO2019/138438, PCT Pub. Date Jul. 18, 2019.
Prior Publication US 2021/0030374 A1, Feb. 4, 2021
Int. Cl. 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)
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)] 7 Claims
OG exemplary drawing
 
1. An image generating device, comprising:
a DRR imager configured to generate a first DRR image showing a first region and a second region of a subject and a second DRR image showing the first region, by performing, for a set of CT image data of the area including the first region of the subject, a virtual fluoroscopic projection simulating a geometric fluoroscopy condition of an X-ray irradiator and an X-ray detector for the subject; and
an image converter configured to perform conversion of an X-ray image showing the first region and the second region of the subject into an image showing the first region, using a machine learning model that has undergone machine learning using the first DRR image for an input image and the second DRR image for a training image.