US 12,272,029 B2
X-ray imaging device and X-ray imaging method
Il Woong Choi, Seoul (KR); Choul Woo Shin, Seongnam-si (KR); Mi Jung Jo, Suwon-si (KR); and Won Taek Seo, Seongnam-si (KR)
Assigned to DRTECH CORPORATION, Seongnam-si (KR)
Filed by DRTECH CORPORATION, Seongnam-si (KR)
Filed on Sep. 1, 2022, as Appl. No. 17/900,944.
Claims priority of application No. 10-2022-0044502 (KR), filed on Apr. 11, 2022.
Prior Publication US 2023/0325993 A1, Oct. 12, 2023
Int. Cl. G06T 5/50 (2006.01); A61B 6/50 (2024.01); G06T 7/00 (2017.01); G06T 7/13 (2017.01); G06T 7/254 (2017.01); G06T 7/30 (2017.01); G06T 7/70 (2017.01)
CPC G06T 5/50 (2013.01) [A61B 6/505 (2013.01); G06T 7/0012 (2013.01); G06T 7/13 (2017.01); G06T 7/254 (2017.01); G06T 7/30 (2017.01); G06T 7/70 (2017.01); G06T 2207/10116 (2013.01); G06T 2207/20016 (2013.01); G06T 2207/20056 (2013.01); G06T 2207/20064 (2013.01); G06T 2207/20221 (2013.01); G06T 2207/20224 (2013.01); G06T 2207/30008 (2013.01)] 15 Claims
OG exemplary drawing
 
1. An X-ray imaging device comprising:
an X-ray irradiation module configured to irradiate X-ray;
an X-ray detection module configured to detect X-ray passed through an object after being irradiated from the X-ray irradiation module to output a corresponding digital signal; and
an image processor configured to generate an X-ray image using an output signal of the X-ray detection module,
wherein the image processor is configured to perform:
acquiring a high-energy image and a low-energy image respectively obtained by X-ray of relatively high-energy and X-ray of relatively low-energy;
generating high-energy frequency component images for each of a plurality of frequency bands by decomposing the high-energy image;
generating low-energy frequency component images for each of a plurality of frequency bands by decomposing the low-energy image;
generating merged frequency component images by merging at least a portion of the high-energy frequency component images for each of the plurality of frequency bands and at least a portion of the low-energy frequency component images for each of the plurality of frequency bands; and
generating a standard image using the merged frequency component images,
wherein the high-energy frequency component images for the plurality of frequency bands comprise high-energy Laplacian pyramid images of a plurality of frequency band levels and high-energy Gaussian pyramid images of a plurality of frequency band levels,
wherein the low-energy frequency component images for the plurality of frequency bands comprise low-energy Laplacian pyramid images of a plurality of frequency band levels and low-energy Gaussian pyramid images of a plurality of frequency band levels,
wherein the merged frequency component images are generated by merging the high-energy Laplacian pyramid images and the low-energy Laplacian pyramid images for each frequency band level,
wherein the high-energy Laplacian pyramid images and the low-energy Laplacian pyramid images are merged with each other for a pixel for each level or for a patch having a plurality of pixels, and
wherein when the high-energy Laplacian pyramid images and the low-energy Laplacian pyramid images are merged for each level, the merging is performed by selecting a pixel or a patch of one of the high-energy Gaussian pyramid images and the low-energy Gaussian pyramid images of a corresponding level that has a statistical value indicating a higher contrast, or a pixel or a patch of one of the high-energy Laplacian pyramid image and the low-energy Laplacian pyramid image that has a statistical value indicating a higher contrast.