# US 12,599,351 B2 · Imaging having scatter correction by interpolation > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,599,351 B2 - Document ID: US12599351B2 - Status: Granted - Kind: B2 - Application number: 18/418,173 - Filed: 2024-01-19 - Published: 2024-07-25 - Granted: 2026-04-14 - Earliest claimed: 2023-01-20 - Assignees: Siemens Healthineers AG - Applicants: Siemens Healthineers AG - Inventors: Philipp Roser - Web page: https://patentgrep.com/patent/US12599351B2 ## CPC - A61B 6/5205: {involving processing of raw data to produce diagnostic data} - A61B 6/4441: {the rigid structure being a C-arm or U-arm} - A61B 6/5223: {generating planar views from image data, e.g. extracting a coronal view from a 3D image} - A61B 6/5282: {due to scatter} - G06N 3/08: Learning methods - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS ## Abstract In order to reduce a computing effort for correcting initial images from an imaging apparatus, a scatter model is used to simulate scattered-radiation images, and corresponding initial images are selected from the original initial images. These are used to train a neural network. The neural network may be used to calculate scattered-radiation single images that may be used to correct each individual initial image into a corrected initial image. ## Claims ### Claim 1 A method for training a neural network for correcting acquisitions obtained by an imaging apparatus, the method comprising: acquiring a plurality of initial images at different acquisition coordinates using the imaging apparatus; obtaining a number of simulated scattered-radiation images from the plurality of initial images using a scatter model, the number of simulated scattered-radiation images being less than the plurality of initial images, wherein each simulated scattered-radiation image of the number of simulated scattered-radiation images is assigned one corresponding acquisition coordinate; selecting images of the plurality of initial images that have respective acquisition coordinates equal to acquisition coordinates of the number of simulated scattered-radiation images; and training the neural network using the selected images as input data and the number of simulated scattered-radiation images as output data. ### Claim 2 (depends on 1) The method of claim 1, wherein obtaining the number of simulated scattered-radiation images comprises: reconstructing an uncorrected three-dimensional (3D) image from the plurality of initial images; and obtaining the number of simulated scattered-radiation images from the uncorrected 3D image by simulation. ### Claim 3 (depends on 1) The method of claim 1, wherein the imaging apparatus is an X-ray apparatus configured to obtain the plurality of initial images. ### Claim 4 (depends on 3) The method of claim 3, wherein the X-ray apparatus comprises a C-arm device. ### Claim 5 (depends on 4) The method of claim 4, wherein the number of simulated scattered-radiation images are evenly distributed in terms of the acquisition coordinates over an acquisition region of the C-arm device. ### Claim 6 (depends on 5) The method of claim 5, wherein the acquisition region of the C-arm device is greater than 180°, and the number of simulated scattered-radiation images is less than thirty. ### Claim 7 (depends on 6) The method of claim 6, wherein the number of simulated scattered-radiation images is less than twenty. ### Claim 8 (depends on 1) The method of claim 1, wherein the neural network is calibrated by a physical model before the training. ### Claim 9 A method for correcting initial images obtained by radiation, the method comprising: creating one scattered-radiation single image for each of the initial images using a neural network trained according to a method for training the neural network for correcting acquisitions obtained by an imaging apparatus, the method for training the neural network comprising: acquiring a plurality of initial images at different acquisition coordinates using the imaging apparatus; obtaining a number of simulated scattered-radiation images from the plurality of initial images using a scatter model, the number of simulated scattered-radiation images being less than the plurality of initial images, wherein each simulated scattered-radiation image of the number of simulated scattered-radiation images is assigned one corresponding acquisition coordinate; selecting images of the plurality of initial images that have respective acquisition coordinates equal to acquisition coordinates of the number of simulated scattered-radiation images; and training the neural network using the selected images as input data and the number of simulated scattered-radiation images as output data; and correcting each of the initial images using the corresponding scattered-radiation single image. ### Claim 10 (depends on 9) The method of claim 9, wherein the number of scattered-radiation images simulated for the training is increased automatically until a specified accuracy is achieved with regard to pixel values relating to the acquisition coordinates of adjacent scattered-radiation single images. ### Claim 11 (depends on 9) The method of claim 9, wherein a corrected three-dimensional (3D) image is reconstructed from the corrected initial images. ### Claim 12 An imaging system comprising: an imaging apparatus; and an image processing apparatus configured to train a neural network for correcting acquisitions obtained by the imaging apparatus, the image processing apparatus being configured to train the neural network comprising the image processing apparatus being configured to: acquire a plurality of initial images at different acquisition coordinates using the imaging apparatus; obtain a number of simulated scattered-radiation images from the plurality of initial images using a scatter model, the number of simulated scattered-radiation images being less than the plurality of initial images, wherein each simulated scattered-radiation image of the number of simulated scattered-radiation images is assigned one corresponding acquisition coordinate; select images of the plurality of initial images that have respective acquisition coordinates equal to acquisition coordinates of the number of simulated scattered-radiation images; and train the neural network using the selected images as input data and the number of simulated scattered-radiation images as output data. ### Claim 13 In a non-transitory computer-readable storage medium executable by a control facility of an imaging system to correct initial images obtained by radiation, the instructions comprising: creating one scattered-radiation single image for each of the initial images using a neural network trained according to a method for training the neural network for correcting acquisitions obtained by an imaging apparatus, the method for training the neural network comprising: acquiring a plurality of initial images at different acquisition coordinates using the imaging apparatus; obtaining a number of simulated scattered-radiation images from the plurality of initial images using a scatter model, the number of simulated scattered-radiation images being less than the plurality of initial images, wherein each simulated scattered-radiation image of the number of simulated scattered-radiation images is assigned one corresponding acquisition coordinate; selecting images of the plurality of initial images that have respective acquisition coordinates equal to acquisition coordinates of the number of simulated scattered-radiation images; and training the neural network using the selected images as input data and the number of simulated scattered-radiation images as output data; and correcting each of the initial images using the corresponding scattered-radiation single image. ### Claim 14 (depends on 13) The non-transitory computer-readable storage medium of claim 13, wherein the number of scattered-radiation images simulated for the training is increased automatically until a specified accuracy is achieved with regard to pixel values relating to the acquisition coordinates of adjacent scattered-radiation single images. ### Claim 15 (depends on 13) The non-transitory computer-readable storage medium of claim 13, wherein a corrected three-dimensional (3D) image is reconstructed from the corrected initial images.