# US 12,008,753 B2 · System for determining a tissue-specific property > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,008,753 B2 - Document ID: US12008753B2 - Status: Granted - Kind: B2 - Application number: 17/422,942 - Filed: 2020-01-16 - Published: 2022-04-21 - Granted: 2024-06-11 - Earliest claimed: 2019-01-18 - Assignees: Koninklijke Philips N.V. - Applicants: Koninklijke Philips N.V. - Inventors: Thomas Koehler; Sven Kabus - Web page: https://patentgrep.com/patent/US12008753B2 ## CPC - G06T 7/0012: {Biomedical image inspection} - G06T 7/0016: {involving temporal comparison} - A61B 5/085: Measuring impedance of respiratory organs or lung elasticity - A61B 6/5217: {extracting a diagnostic or physiological parameter from medical diagnostic data} - G06T 7/33: using feature-based methods - G06T 7/337: {involving reference images or patches} - G06T 7/38: Registration of image sequences - A61B 6/032: {Transmission computed tomography [CT]} - G06T 2207/10081: Computed x-ray tomography [CT] - G06T 2207/10088: Magnetic resonance imaging [MRI] - G06T 2207/30061: Lung - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) ## Abstract The present invention refers to providing a system that allows to very accurately determine the state of a disease, like COPD, in a patient. The system (100) comprises a unit (101) for providing images of the region of interest corresponding to different states of the region of interest, a unit (102) for elastically registering the images to each other resulting in an elastic registration output, a unit (103) for determining a specific tissue region in an image, a unit (104) for determining a specific elastic registration output for the specific tissue region based on the determined elastic registration output, and a unit (105) for determining an elastic indicator for the specific tissue type based on the specific elastic registration output. Thus, a state of a disease that influences the elastic properties of the specific tissue type can be determined very accurately. ## Claims ### Claim 1 A system for determining a tissue-specific property in a region of interest of a patient, comprising: a memory; and one or more processors coupled with the memory and configured to: provide at least two images of the region of interest, wherein the provided images correspond to different states of the region of interest, and wherein the region of interest comprises different tissue types; elastically register the at least two provided images to each other based on image characteristics of the at least two provided images, wherein the registration results in determining at least one elastic registration output allowing to align the at least two provided images with each other; determine a specific tissue region that is defined by a specific tissue type and that is in the region of interest in at least one of the provided images, wherein the specific tissue region comprises all parts of the respective provided image that correspond to the specific tissue type; determine a specific elastic registration output for the specific tissue region based on the at least one determined elastic registration output; and determine an elastic indicator for the specific tissue type based on the specific elastic registration output of the specific tissue region, wherein the elastic indicator is indicative of an elastic property of the specific tissue type. ### Claim 2 (depends on 1) The system according to claim 1, wherein the one or more processors are further configured to determine a health state of the patient based on the determined elastic indicator of the specific tissue type in the region of interest. ### Claim 3 (depends on 1) The system according to claim 1, wherein the one or more processors are further configured to determine a displacement field comprising a displacement vector for each voxel of one of at least two provided images that are registered as elastic registration output, wherein the displacement vector is indicative of a displacement of the voxel necessary for matching the voxel to a corresponding voxel in a respective other one of the at least two provided images. ### Claim 4 (depends on 3) The system according to claim 3, wherein the one or more processors are further configured to determine as elastic indicator of the specific tissue at least one of a Jacobian determinant map, an anisotropic deformation index, and a strain map. ### Claim 5 (depends on 1) The system according to claim 1, wherein the region of interest comprises a lung of a patient comprising a first lung tissue type and a second lung tissue type, wherein the one or more processors are further configured to determine a first specific tissue region and a second specific tissue region in at least one of the provided images corresponding to the first and the second lung tissue type, and wherein the one or more processors are further configured to determine an elastic indicator for the first and second lung tissue type. ### Claim 6 (depends on 5) The system according to claim 5, wherein the different states of the region of interest refer to different states of the lung during a breathing cycle. ### Claim 7 (depends on 6) The system according to claim 6, wherein the provided images comprise at least a first image corresponding to an end of an inhalation phase and at least a second image corresponding to an end of an exhalation phase during a breathing cycle, wherein the one or more processors are further configured to register the first and the second image with each other. ### Claim 8 (depends on 5) The system according to claim 5, wherein the first lung tissue type refers to bronchial tissue and the second lung tissue type refers to parenchyma tissue. ### Claim 9 (depends on 8) The system according to claim 8, wherein the one or more processors are further configured to: determine a health state of the patient, and determine a phenotype of chronic obtrusive pulmonary disease (COPD) based on the determined elastic indicators of the parenchyma tissue and the bronchial tissue. ### Claim 10 (depends on 9) The system according to claim 9, wherein the one or more processors are further configured to determine as health state that the patient suffers from emphysema as phenotype of COPD if the elastic indicator for parenchyma tissue indicates a reduced elasticity of the parenchyma tissue in comparison with healthy parenchyma tissue. ### Claim 11 (depends on 9) The system according to claim 9, wherein the one or more processors are further configured to determine that the patient suffers from obstructive bronchiolitis as phenotype of COPD if the elastic indicator for bronchial tissue indicates an increased stiffness in the bronchial tissue in comparison with healthy bronchial tissue. ### Claim 12 A method for determining a tissue-specific property in a region of interest of a patient, comprising: providing at least two images of the region of interest, wherein the provided images correspond to different states of the region interest, and wherein the region of interest comprises different tissue types; elastically registering the at least two provided images to each other based on image characteristics of the at least two provided images, wherein the registration results in determining at least one elastic registration output allowing to align the at least two provided images with each other; determining a specific tissue region that is defined by a specific tissue type and that is in the region of interest in at least one of the provided images, wherein the specific tissue region comprises all parts of the respective provided image that correspond to the specific tissue type; determining a specific elastic registration output for the specific tissue region based on the at least one determined elastic registration output; and determining an elastic indicator for the specific tissue type based on the specific elastic registration output of the specific tissue region, wherein the elastic indicator is indicative of an elastic property of the specific tissue type. ### Claim 13 (depends on 12) A non-transitory computer-readable medium for storing executable instructions that, when executed by a computer, cause the method of claim 12 to be performed.