US 12,405,393 B2
Radiographic image acquiring device, radiographic image acquiring system, and radiographic image acquisition method
Tatsuya Onishi, Hamamatsu (JP); Toshiyasu Suyama, Hamamatsu (JP); and Satoshi Tsuchiya, Hamamatsu (JP)
Assigned to HAMAMATSU PHOTONICS K.K., Hamamatsu (JP)
Appl. No. 17/918,380
Filed by HAMAMATSU PHOTONICS K.K., Hamamatsu (JP)
PCT Filed Apr. 14, 2021, PCT No. PCT/JP2021/015464
§ 371(c)(1), (2) Date Oct. 12, 2022,
PCT Pub. No. WO2021/210612, PCT Pub. Date Oct. 21, 2021.
Claims priority of application No. 2020-073576 (JP), filed on Apr. 16, 2020; application No. 2020-073578 (JP), filed on Apr. 16, 2020; and application No. 2021-021673 (JP), filed on Feb. 15, 2021.
Prior Publication US 2023/0135988 A1, May 4, 2023
Int. Cl. G01T 1/208 (2006.01); G01N 23/04 (2018.01); G01N 23/083 (2018.01); G06T 5/60 (2024.01); G06T 5/70 (2024.01)
CPC G01T 1/208 (2013.01) [G01N 23/04 (2013.01); G01N 23/083 (2013.01); G06T 5/60 (2024.01); G06T 5/70 (2024.01); G01N 2223/505 (2013.01)] 10 Claims
OG exemplary drawing
 
1. A radiographic image acquiring device comprising:
an imaging device configured to scan radiation passing through a target object in one direction and capture an image thereof to acquire a radiographic image;
a scintillator configured to be provided on the imaging device to convert the radiation into light; and
an image processing module configured to calculate an average energy related to the radiation passing through the target object, evaluate the spread of a noise value using the average energy, input the radiographic image to a trained model constructed through machine training in advance using image data and execute a noise removal process of removing noise from the radiographic image,
wherein the imaging device includes
a detection element in which pixel lines each having M (M is an integer equal to or greater than 2) pixels arranged in the one direction are configured to be arranged in N columns (N is an integer equal to or greater than 2) in a direction orthogonal to the one direction and which is configured to output a detection signal related to the light for each of the pixels, and
a readout circuit configured to output the radiographic image by adding the detection signals output from at least two of the M pixels for each of the pixel lines of N columns in the detection element and sequentially outputting the added N detection signals, and
wherein the image processing module includes
at least one processor configured to derive an evaluation value obtained by evaluating a spread of a noise value from a pixel value of each pixel of the radiographic image on the basis of relational data indicating a relationship between the pixel value and the evaluation value and generate a noise map which is data obtained by associating the derived evaluation value with each pixel of the radiographic image, and
input the radiographic image and the noise map to the trained model and execute the noise removal process of removing noise from the radiographic image.