# US 12,178,629 B2 · Method and system for automatic deployment of image restoration parameters > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,178,629 B2 - Document ID: US12178629B2 - Status: Granted - Kind: B2 - Application number: 17/341,622 - Filed: 2021-06-08 - Published: 2022-12-08 - Granted: 2024-12-31 - Earliest claimed: 2021-06-08 - Assignees: Canon Medical Systems Corporation - Applicants: Canon Medical Systems Corporation - Inventors: John Baumgart; Yi Hu - Web page: https://patentgrep.com/patent/US12178629B2 ## CPC - A61B 6/52: {Devices using data or image processing specially adapted for radiation diagnosis} - A61B 6/5258: {involving detection or reduction of artifacts or noise} - A61B 6/5294: {involving using additional data, e.g. patient information, image labeling, acquisition parameters} - A61B 6/54: {Control of apparatus or devices for radiation diagnosis} - G06T 5/60: using machine learning, e.g. neural networks - G06T 5/70: Denoising; Smoothing - G06T 7/0002: {Inspection of images, e.g. flaw detection} - G06T 2207/10072: Tomographic images - G06T 2207/10116: X-ray image - G06T 2207/20081: Training; Learning - G06T 2207/20084: Artificial neural networks [ANN] - G06T 2207/30004: Biomedical image processing - G06T 2207/30168: Image quality inspection - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ## Abstract A method includes obtaining, at a local imaging system, projection data for an object representing an intensity of radiation detected along a plurality of rays through the object using a first set of imaging parameters; transmitting an image quality dataset related to the obtained projection data to a remote server; generating, via the remote server, localized restoration information based on the received image quality dataset; transferring the localized restoration information from the remote server to the local imaging system; and updating the local imaging system using the localized restoration information. ## Claims ### Claim 1 A method, comprising: obtaining, at a local imaging system, projection data for an object representing an intensity of radiation detected along a plurality of rays through the object using a first set of imaging parameters; transmitting an image quality dataset related to the obtained projection data to a remote server, the image quality dataset including at least one parameter, of the first set of imaging parameters, involved in obtaining the projection data; generating, via the remote server, localized restoration information for calibrating the local imaging system based on the received image quality dataset, the localized restoration information being configured to maintain a constant image quality of the projection data obtained by the local imaging system; transferring the localized restoration information from the remote server to the local imaging system; and updating at least one setting related to the obtaining of the projection data on the local imaging system using the localized restoration information. ### Claim 2 (depends on 1) The method of claim 1, wherein the object is a phantom, and the step of obtaining the projection data further comprises upon determining a human is not disposed in a predetermined area of the local imaging system, obtaining the projection data of the phantom without human initialization. ### Claim 3 (depends on 2) The method of claim 2, wherein the step of obtaining the projection data further comprises disposing the phantom in an imaging area robotically. ### Claim 4 (depends on 1) The method of claim 1, further comprising: transmitting the first set of imaging parameters from the local imaging system to the remote server; and saving the first set of imaging parameters as a first restore point. ### Claim 5 (depends on 1) The method of claim 1, wherein the localized restoration information includes a second set of imaging parameters, and the step of updating the at least one setting related to the obtaining of the projection data on the local imaging system further comprises replacing the first set of imaging parameters with the second set of imaging parameters. ### Claim 6 (depends on 1) The method of claim 1, wherein the projection data is obtained using a first image restoration model, the localized restoration information includes a second image restoration model, and the step of updating the at least one setting related to the obtaining of the projection data on the local imaging system further comprises replacing the first image restoration model with the second image restoration model. ### Claim 7 (depends on 1) The method of claim 1, wherein the image quality dataset includes an image obtained by performing reconstruction of the projection data. ### Claim 8 (depends on 1) The method of claim 1, further comprising: obtaining, at the local imaging system, an image using the localized restoration information received from the remote server. ### Claim 9 (depends on 1) The method of claim 1, wherein the at least one parameter in the image quality dataset is a signal noise parameter, the localized restoration information is generated for calibrating the local imaging system based on the received image quality dataset, and the localized restoration information is configured to maintain a constant image quality of the projection data obtained by the local imaging system. ### Claim 10 (depends on 1) The method of claim 1, wherein the step of generating the localized restoration information further comprises calculating, via the remote server, an artificial neural network based on the received image quality dataset to generate the localized restoration information. ### Claim 11 (depends on 1) The method of claim 1, comprising: accepting or rejecting the restoration information based upon image quality measurements made using an image with the restoration information and an image processed with previously received restoration information. ### Claim 12 (depends on 11) The method of claim 11, comprising: performing the image quality measurements using a stationary object. ### Claim 13 (depends on 1) The method of claim 1, further comprising: storing, in a memory, first localized restoration information used to update the at least one setting; determining whether projection data obtained at the local imaging system that was updated using second localized restoration information generated later than the first localized restoration information has been degraded; and upon determining the projection data obtained at the local imaging system that was updated using the second localized restoration information has been degraded, updating the at least one setting related to the obtaining of the projection data on the local imaging system using the first localized restoration information. ### Claim 14 An imaging system, comprising: processing circuitry configured to obtain, at a local imaging system, projection data for an object representing an intensity of radiation detected along a plurality of rays through the object using a first set of imaging parameters; transmit an image quality dataset related to the obtained projection data to a remote server, the image quality dataset including at least one parameter, of the first set of imaging parameters, involved in obtaining the projection data; generate, via the remote server, localized restoration information for calibrating the local imaging system based on the received image quality dataset, the localized restoration information being configured to maintain a constant image quality of the projection data obtained by the local imaging system; transfer the localized restoration information from the remote server to the local imaging system; and update at least one setting related to the obtaining of the projection data on the local imaging system using the localized restoration information. ### Claim 15 (depends on 14) The system of claim 14, wherein the object is a phantom, and the processing circuitry is further configured to obtain the projection data by, upon determining a human is not disposed in a predetermined area of the local imaging system, obtain the projection data of the phantom without human initialization. ### Claim 16 (depends on 15) The system of claim 15, wherein the processing circuitry is further configured to obtain the projection data by disposing the phantom in an imaging area robotically. ### Claim 17 (depends on 14) The system of claim 14, wherein the processing circuitry is further configured to transmit the first set of imaging parameters from the local imaging system to the remote server, and save the first set of imaging parameters as a first restore point. ### Claim 18 (depends on 14) The system of claim 14, wherein the localized restoration information includes a second set of imaging parameters, and the processing circuitry is further configured to update the at least one setting related to the obtaining of the projection data on the local imaging system by replacing the first set of imaging parameters with the second set of imaging parameters. ### Claim 19 (depends on 14) The system of claim 14, wherein the projection data is obtained using a first image restoration model, the localized restoration information includes a second image restoration model, and the processing circuitry is further configured to update the at least one setting related to the obtaining of the projection data on the local imaging system by replacing the first image restoration model with the second image restoration model. ### Claim 20 (depends on 14) The system of claim 14, wherein the image quality dataset transmitted by the processing circuitry includes an image obtained by performing reconstruction of the projection data. ### Claim 21 (depends on 14) The system of claim 14, wherein the processing circuitry is further configured to obtain, at the local imaging system, an image using the localized restoration information. ### Claim 22 (depends on 14) The system of claim 14, further comprising: a memory to store first localized restoration information used to update the at least one setting, wherein the processing circuitry is further configured to determine whether projection data obtained at the local imaging system that was updated using second localized restoration information generated later than the first localized restoration information has been degraded; and upon determining the projection data obtained at the local imaging system that was updated using the second localized restoration information has been degraded, update the at least one setting related to the obtaining of the projection data on the local imaging system using the first localized restoration information. ### Claim 23 A non-transitory computer-readable storage medium including executable instructions, which when executed by circuitry, cause the circuitry to perform a method of reducing in an imaging system, the method comprising: obtaining, at a local imaging system, projection data for an object representing an intensity of radiation detected along a plurality of rays through the object using a first set of imaging parameters; transmitting an image quality dataset related to the obtained projection data to a remote server, the image quality dataset including at least one parameter, of the first set of imaging parameters, involved in obtaining the projection data; calculating, via the remote server, an artificial neural network based on the received image quality dataset to generate localized restoration information for calibrating the local imaging system, the localized restoration information being configured to maintain a constant image quality of the projection data obtained by the local imaging system; transferring the localized restoration information from the remote server to the local imaging system; and updating at least one setting related to the obtaining of the projection data on the local imaging system using the localized restoration information. ### Claim 24 (depends on 23) The non-transitory computer-readable storage medium according to claim 23, wherein the object is a phantom, and the step of obtaining the projection data further comprises upon determining a human is not disposed in a predetermined area of the local imaging system, obtaining the projection data of the phantom without human initialization. ### Claim 25 (depends on 23) The non-transitory computer-readable storage medium according to claim 23, wherein the method further comprises: storing first localized restoration information used to update the at least one setting in a memory; determining whether projection data obtained at the local imaging system that was updated using second localized restoration information generated later than the first localized restoration information has been degraded; and upon determining the projection data obtained at the local imaging system that was updated using the second localized restoration information has been degraded, updating the at least one setting related to the obtaining of the projection data on the local imaging system using the first localized restoration information.