# US 12,217,335 B2 · Method and apparatus for acquiring CBCT image based on adaptive sampling > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,217,335 B2 - Document ID: US12217335B2 - Status: Granted - Kind: B2 - Application number: 17/812,289 - Filed: 2022-07-13 - Published: 2023-02-02 - Granted: 2025-02-04 - Earliest claimed: 2021-07-20 - Assignees: UIF (University Industry Foundation), Yonsei University - Applicants: UIF (University Industry Foundation), Yonsei University - Inventors: Ho Lee; Ik Jae Lee - Web page: https://patentgrep.com/patent/US12217335B2 ## CPC - A61B 6/4085: {Cone-beams} - G06T 12/10: Image preprocessing, e.g. calibration, positioning of sources or scatter correction - A61B 6/032: {Transmission computed tomography [CT]} - A61B 6/54: {Control of apparatus or devices for radiation diagnosis} - A61B 6/545: {involving automatic set-up of acquisition parameters} - A61B 6/547: {involving tracking of position of the device or parts of the device} - G06T 12/20: Inverse problem, i.e. transformations from projection space into object space - G06T 2210/41: Medical - G06T 2211/424: Iterative - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ## Abstract According to the method and the apparatus for acquiring a CBCT image based on adaptive sampling according to the exemplary embodiment of the present disclosure, a final CBCT image is acquired by reconstructing a plurality of cone beam computed tomography (CBCT) images acquired based on adaptive sampling so that a dose applied to the target patient may be reduced. ## Claims ### Claim 1 A CBCT image acquiring method based on adaptive sampling, comprising: a step of acquiring a plurality of image scanning points based on a previously acquired medical image for a target patient, by acquiring an image for every image scanning point based on the medical image, sorting images for image scanning points based on a quantitative value for each of images for image scanning points, selecting a plurality of images according to a predetermined criterion, among sorted images for image scanning points, and acquiring the image scanning points corresponding to the plurality of selected images as the plurality of image scanning points; a step of acquiring a plurality of cone beam computed tomography (CBCT) images for the target patient based on the plurality of image scanning points; and a step of acquiring a final CBCT image for the target patient based on the plurality of CBCT images. ### Claim 2 (depends on 1) The CBCT image acquiring method according to claim 1, wherein the step of acquiring a plurality of image scanning points is configured by sorting images for image scanning points based on an entropy for each of acquired images for image scanning points. ### Claim 3 (depends on 1) The CBCT image acquiring method according to claim 1, wherein the step of acquiring a plurality of image scanning points is configured by sorting the images for image scanning points in a descending order based on a quantitative value for each of the acquired images for image scanning points and selecting a plurality of images in the order of larger quantitative values, among the sorted images for image scanning points. ### Claim 4 (depends on 1) The CBCT image acquiring method according to claim 1, wherein the step of acquiring a plurality of image scanning points is configured by acquiring the image for every image scanning point from the medical image by means of forward projection, using geometric information of a CBCT imaging system. ### Claim 5 (depends on 1) The CBCT image acquiring method according to claim 1, wherein the step of acquiring a plurality of CBCT images is configured by scanning the target patient at the plurality of image scanning points by means of the CBCT scanning system to acquire the plurality of CBCT images. ### Claim 6 (depends on 1) The CBCT image acquiring method according to claim 1, wherein the step of acquiring a final CBCT image is configured by acquiring a final CBCT image based on the plurality of CBCT images using one of an analytical reconstruction algorithm and a iterative reconstruction algorithm. ### Claim 7 (depends on 1) The CBCT image acquiring method according to claim 1, wherein the medical image is a computed tomography volume image and the image scanning point is a gantry rotational index. ### Claim 8 (depends on 1) A computer program stored in a computer readable storage medium to allow a computer to execute the CBCT image acquiring method based on adaptive sampling according to claim 1. ### Claim 9 A CBCT image acquiring apparatus which reconstructs a plurality of cone beam computed tomography images acquired based on adaptive sampling to acquire a final CBCT image, the apparatus comprising: a memory which stores one or more programs to acquire the final CBCT image by reconstructing the plurality of CBCT images acquired based on adaptive sampling; and a processor which performs an operation for reconstructing the plurality of CBCT images acquired based on adaptive sampling according to one or more programs stored in the memory to acquire the final CBCT image, wherein the processor acquires a plurality of image scanning points based on a previously acquired medical image for a target patient, acquires the plurality of CBCT images for the target patient based on the plurality of image scanning points, and acquires a final CBCT image for the target patient based on the plurality of CBCT images, and wherein the processor acquires an image for every image scanning point based on the medical image, sorts images for image scanning points based on a quantitative value for each of images for image scanning points, selects a plurality of images according to a predetermined criterion, among sorted images for image scanning points, and acquires the image scanning points corresponding to the plurality of selected images as the plurality of image scanning points. ### Claim 10 (depends on 9) The CBCT image acquiring apparatus according to claim 9, wherein the processor sorts images for image scanning points based on an entropy for each of acquired images for image scanning points. ### Claim 11 (depends on 9) The CBCT image acquiring apparatus according to claim 9, wherein the processor sorts the images for image scanning points in a descending order based on a quantitative value for each of the acquired images of every image scanning point and selects a plurality of images in the order of larger quantitative values, among the sorted images for image scanning points.