# US 10,368,809 B2 · Method and apparatus for tracking a position of a tumor > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,368,809 B2 - Document ID: US10368809B2 - Status: Granted - Kind: B2 - Application number: 13/930,042 - Filed: 2013-06-28 - Published: 2014-02-13 - Granted: 2019-08-06 - Earliest claimed: 2012-08-08 - Assignees: Samsung Electronics Co., Ltd. - Applicants: Samsung Electronics Co., Ltd. - Inventors: Jung-bae Kim; Young-kyoo Hwang; Do-kyoon Kim; Won-chul Bang - Web page: https://patentgrep.com/patent/US10368809B2 ## CPC - A61B 5/7275: {Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor} - A61B 8/085: {for locating body or organic structures, e.g. tumours, calculi, blood vessels, nodules} - A61N 7/02: Localised ultrasound hyperthermia - G06T 7/251: {involving models} - G06T 7/277: involving stochastic approaches, e.g. using Kalman filters - A61B 5/0035: {adapted for acquisition of images from more than one imaging mode, e.g. combining MRI and optical tomography} - A61B 6/5247: {combining images from an ionising-radiation diagnostic technique and a non-ionising radiation diagnostic technique, e.g. X-ray and ultrasound} - A61B 8/5261: {combining images from different diagnostic modalities, e.g. ultrasound and X-ray} - A61B 2017/00699: {correcting for movement caused by respiration, e.g. by triggering} - A61B 2090/364: {Correlation of different images or relation of image positions in respect to the body} - A61B 2090/374: {NMR or MRI} - A61B 2090/3762: {using computed tomography systems [CT]} - G06T 2207/10081: Computed x-ray tomography [CT] - G06T 2207/10088: Magnetic resonance imaging [MRI] - G06T 2207/20072: Graph-based image processing - G06T 2207/20124: Active shape model [ASM] - G06T 2207/30096: Tumor; Lesion - G06T 2207/30101: Blood vessel; Artery; Vein; Vascular - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - A61N: ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY (measurement of bioelectric currents A61B; surgical instruments, devices or methods for transferring non-mechanical forms of energy to or from the body A61B18/00; anaesthetic apparatus in general A61M; incandescent lamps H01K; infrared radiators for heating H05B) - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ## Abstract Provided is a method and apparatus for tracking a tumor position, which changes by the movement of a body. According to various aspects, a location of a tumor position of a target organ may be estimated using images of one or more surrounding organs. ## Claims ### Claim 1 A method of tracking a tumor position, the method comprising: generating a target organ model of a target organ having the tumor and a surrounding organ model of at least two surrounding organs located at the periphery of the target organ, based on a medical image comprising anatomical information of the target organ having the tumor and the at least two surrounding organs, by extracting unique anatomical characteristics of each organ, the unique anatomical characteristics of each organ comprising unique detailed anatomical structure of each organ; updating a shape, direction of movement, and a position of the at least two surrounding organs in the surrounding organ model based on the extracted unique anatomical characteristics of each organ and a dynamic image of the target organ and the at least two surrounding organs; updating the target organ model based on the updated surrounding organ model, wherein the updating of the target organ model comprises: determining a respiratory phase of a target body in the dynamic image based on the position of the at least two surrounding organs from the updated surrounding organ model; and updating a shape, direction of movement, and a position of the target organ model based on the determined respiratory phase, the extracted unique anatomical characteristics of each organ, and the dynamic image; estimating a position of the tumor included in the target organ based on the updated target organ model; and transmitting information regarding the estimated position of the tumor to a treatment apparatus, wherein the medical image has a first resolution and the dynamic image has a second resolution that is different than the first resolution. ### Claim 2 (depends on 1) The method of claim 1, wherein the updating of the target organ model comprises: extracting characteristics of the target organ from the dynamic image; and estimating the position and the shape of the target organ based on the extracted characteristics of the target organ. ### Claim 3 (depends on 2) The method of claim 2, wherein the updating of the target organ model comprises estimating the position and shape of the target organ based on the extracted characteristics of the target organ and the updated surrounding organ model. ### Claim 4 (depends on 2) The method of claim 2, wherein the updating of the target organ model comprises estimating the position and shape of the target organ based on the extracted characteristics of the target organ and the respiratory phase of the target body. ### Claim 5 (depends on 1) The method of claim 1, wherein the generating of the target organ model and the surrounding organ model comprises: generating models of shapes of the target organ and the at least two surrounding organs; and modeling movement of the generated models. ### Claim 6 (depends on 1) The method of claim 1, wherein the generating of the target organ model and the surrounding organ model comprises modeling positions and shapes of the target organ and the at least two surrounding organs based on the respiratory phase of the target body. ### Claim 7 (depends on 1) The method of claim 1, wherein the target organ model and the surrounding organ model are generated before the dynamic image is obtained. ### Claim 8 (depends on 1) A non-transitory computer-readable storage medium having stored thereon a program that when executed by a computer performs the method of claim 1. ### Claim 9 An apparatus for tracking a tumor position, the apparatus comprising: one or more processors configured to: generate a target organ model of a target organ having the tumor and a surrounding organ model of at least two surrounding organs located at the periphery of the target organ, based on a medical image comprising anatomical information of the target organ having the tumor and at least two surrounding organs, by extracting unique anatomical characteristics of each organ, the unique anatomical characteristics of each organ comprising unique detailed anatomical structure of each organ; update a shape, direction of movement, and a position of the at least two surrounding organs in the surrounding organ model based on the extracted unique anatomical characteristics of each organ and a dynamic image of the target organ and the at least two target organs; update the target organ model based on the updated surrounding organ model, wherein to update the target organ model, the one or more processors is configured to: determine a respiratory phase of a target body in the dynamic image based on the position of the at least two surrounding organs from the updated surrounding organ model; and update a shape, direction of movement, and a position of the target organ model based on the determined respiratory phase, the extracted unique anatomical characteristics of each organ, and the dynamic image; estimate a position of the tumor included in the target organ based on the updated target organ model; and transmit information regarding the estimated position of the tumor to a treatment apparatus, wherein the medical image has a first resolution and the dynamic image has a second resolution that is different than the first resolution. ### Claim 10 (depends on 9) The apparatus of claim 9, wherein, to update the surrounding organ model, the one or more processors is configured to extract characteristics of the target organ from the dynamic image and estimate the position and the shape of the target organ based on the extracted characteristics of the target organ. ### Claim 11 (depends on 10) The apparatus of claim 10, wherein, to update the surrounding organ model, the one or more processors is configured to estimate the position and the shape of the target organ based on the extracted characteristics of the target organ and the updated surrounding organ model. ### Claim 12 (depends on 9) The apparatus of claim 9, wherein, to update the surrounding organ model, the one or more processors is configured to estimate the shape and a change of the target organ model based on the extracted characteristics of the target organ and the respiratory phase of the target body. ### Claim 13 (depends on 9) The apparatus of claim 9, wherein, to generate the target organ model and the surrounding organ model, the one or more processors is configured to generate models of shapes of the target organ and surrounding organ, and model movement of the generated models. ### Claim 14 (depends on 9) The apparatus of claim 9, wherein, to generate the target organ model and the surrounding organ model, the one or more processors is configured to model positions and shapes of the target organ and surrounding organ based on the respiratory phase of the target body. ### Claim 15 (depends on 9) The apparatus of claim 9, wherein the target organ model and the surrounding organ model are generated before the dynamic image is obtained.