# US 12,109,089 B2 · Individualized orthodontic treatment index > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,109,089 B2 - Document ID: US12109089B2 - Status: Granted - Kind: B2 - Application number: 18/168,558 - Filed: 2023-02-13 - Published: 2023-09-21 - Granted: 2024-10-08 - Earliest claimed: 2010-04-30 - Assignees: Align Technology, Inc. - Applicants: Align Technology, Inc. - Inventors: Eric E. Kuo; Vadim Matov; Larry Lai; Fuming Wu; Jihua Cheng - Web page: https://patentgrep.com/patent/US12109089B2 ## CPC - A61C 7/002: {Orthodontic computer assisted systems} - A61B 5/1128: {using image analysis (A61B5/1127 takes precedence)} - A61B 5/7246: {using correlation, e.g. template matching or determination of similarity} - A61C 7/00: Orthodontics, i.e. obtaining or maintaining the desired position of teeth, e.g. by straightening, evening, regulating, separating, or by correcting malocclusions - G06F 3/041: Digitisers, e.g. for touch screens or touch pads, characterised by the transducing means - G06F 30/20: Design optimisation, verification or simulation (optimisation, verification or simulation of circuit designs G06F30/30) - G16C 20/70: Machine learning, data mining or chemometrics - G16H 50/50: for simulation or modelling of medical disorders - G06T 2210/12: Bounding box - G16H 20/40: relating to mechanical, radiation or invasive therapies, e.g. surgery, laser therapy, dialysis or acupuncture - G16H 30/40: for processing medical images, e.g. editing - A61C: DENTISTRY; APPARATUS OR METHODS FOR ORAL OR DENTAL HYGIENE (non-driven toothbrushes A46B; {tongue scrapers A61B17/24;} preparations for dentistry A61K6/00; preparations for cleaning the teeth or mouth A61K8/00, A61Q11/00) - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G16C: COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA - G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ## Abstract Systems, methods, and non-transitory computing device readable media for determining an individualized orthodontic treatment index. One embodiment includes generating a target dental model by modifying an initial dental model, graphically marking dental references on the target dental model including assigning contact points between adjacent first and second teeth of the target dental model, generating a treatment outcome dental model representing the patient's dentition after at least a portion of the orthodontic treatment has been completed, mapping the dental references marked on the target dental model to the treatment outcome dental model, and calculating an individualized treatment index score for the treatment outcome dental model according to one or more differences between the target dental model and the treatment outcome dental model. ## Claims ### Claim 1 A system for orthodontic treatment planning, the system comprising: one or more computing devices configured to evaluate implementation of an orthodontic treatment plan, wherein the one or more computing devices includes memory having executable instructions stored thereon that, when executed by one or more processors, cause the one or more computing devices to perform a method comprising: generating a target dental model by modifying an initial dental model, wherein the initial dental model represents a patient's dentition at an initial stage of the orthodontic treatment plan, and the target dental model represents a target outcome for the patient's dentition; graphically marking dental references on the target dental model based on a user's input to a graphical user interface, wherein graphically marking the dental references comprises assigning contact points between adjacent first and second teeth of the target dental model; generating a treatment outcome dental model representing the patient's dentition after at least a portion of the orthodontic treatment has been completed, wherein the adjacent first and second teeth overlap in the treatment outcome dental model; mapping the dental references marked on the target dental model to the treatment outcome dental model by: calculating and applying a translation to minimally separate the first and second teeth from each other in the treatment outcome dental model; and calculating contact points between the first and second teeth in the treatment outcome dental model using collision detection between the first and second teeth; and calculating an individualized treatment index score for the treatment outcome dental model according to differences between the contact points of the target dental model and the contact points of the treatment outcome dental model. ### Claim 2 (depends on 1) The system of claim 1, wherein using detection collision comprises using bounding box calculations in three-dimensional (3D) space. ### Claim 3 (depends on 2) The system of claim 2, wherein the bounding box calculations are based on a collection of oriented bounding boxes (OBBs), where each OBB is a rectangular bounding box at an arbitrary orientation in 3D space. ### Claim 4 (depends on 1) The system of claim 1, wherein the individualized treatment index score is a first individualized treatment index score, the method further comprising: mapping first locations of the dental references from the target dental model to third locations on the initial dental model; comparing the first locations of the dental references of the target dental model and the third locations to identify second differences between the target dental model and the initial dental model; and determining a second individualized treatment index score for the initial dental model using the second differences. ### Claim 5 (depends on 4) The system of claim 4, wherein the method further comprises: comparing the first individualized treatment index score and the second individualized treatment index score; and determining an improvement of the treatment outcome dental model relative to the target dental model, the improvement based on the comparison of the first individualized treatment index score and the second individualized treatment index score. ### Claim 6 (depends on 1) The system of claim 1, wherein calculating the individualized treatment index score comprises comparing the differences between the contact points of the target dental model and the contact points of the treatment outcome dental model by: calculating a matching transform from at least a portion of the target dental model to at least a corresponding portion of the treatment outcome dental model; and applying the matching transform to the dental references of the target dental model and the treatment outcome dental model. ### Claim 7 (depends on 6) The system of claim 6, wherein the method further comprises comparing first locations of the dental references of the target dental model and second locations of the treatment outcome dental model by projecting at least one dental reference from the at least the portion of the target dental model to the at least the corresponding portion of the treatment outcome dental model. ### Claim 8 (depends on 1) The system of claim 1, wherein the method further comprises receiving user input regarding treatment goals, wherein the target dental model is generated based on the user input regarding the treatment goals. ### Claim 9 (depends on 1) The system of claim 1, wherein graphically marking the dental references further comprises assigning one or more cusp tips on the target dental model, wherein the method further comprises calculating an arch length of the patient's dentition based on the one or more cusp tips. ### Claim 10 (depends on 1) The system of claim 1, wherein graphically marking the dental references further comprises assigning one or more facial lines on the target dental model, wherein the method further comprises calculating an arch curve of the patient's dentition based on the facial lines. ### Claim 11 (depends on 1) The system of claim 1, wherein graphically marking the dental references further comprises assigning one or more cuspid widths on the target dental model, wherein the method further comprises calculating an arch width of the patient's dentition based on the one or more cuspid widths. ### Claim 12 (depends on 1) The system of claim 1, wherein graphically marking the dental references further comprises assigning one or more molar widths on the target dental model, wherein the method further comprises calculating an arch width of the patient's dentition based on the one or more molar widths. ### Claim 13 A non-transitory computing device readable medium having executable instructions executed by one or more processors to cause one or more computing devices to perform a method of digital orthodontic treatment planning using a graphical user interface, the method comprising: generating a target dental model by modifying an initial dental model, wherein the initial dental model represents a patient's dentition at an initial stage of an orthodontic treatment plan, and the target dental model represents a target outcome for the patient's dentition; graphically marking dental references on the target dental model based on a user's input to the graphical user interface, wherein graphically marking the dental references comprises assigning contact points between adjacent first and second teeth of the target dental model; generating a treatment outcome dental model representing the patient's dentition after at least a portion of the orthodontic treatment plan has been completed, wherein the adjacent first and second teeth overlap in the treatment outcome dental model; mapping the dental references marked on the target dental model to the treatment outcome dental model by: calculating and applying a translation to minimally separate the first and second teeth from each other in the treatment outcome dental model; and calculating contact points between the first and second teeth in the treatment outcome dental model using collision detection between the first and second teeth; and calculating an individualized treatment index score for the treatment outcome dental model according to differences between the contact points of the target dental model and the contact points of the treatment outcome dental model. ### Claim 14 (depends on 13) The non-transitory computing device readable medium of claim 13, wherein using detection collision comprises using bounding box calculations in three-dimensional (3D) space. ### Claim 15 (depends on 14) The non-transitory computing device readable medium of claim 14, wherein the bounding box calculations are based on a collection of oriented bounding boxes (OBBs), where each OBB is a rectangular bounding box at an arbitrary orientation in 3D space. ### Claim 16 (depends on 13) The non-transitory computing device readable medium of claim 13, wherein the method further comprises receiving user input regarding treatment goals, wherein the target dental model is generated based on the user input regarding the treatment goals. ### Claim 17 (depends on 13) The non-transitory computing device readable medium of claim 13, wherein graphically marking the dental references further comprises assigning one or more cusp tips on the target dental model, wherein the method further comprises calculating an arch length of the patient's dentition based on the one or more cusp tips. ### Claim 18 (depends on 13) The non-transitory computing device readable medium of claim 13, wherein graphically marking the dental references further comprises assigning one or more facial lines on the target dental model, wherein the method further comprises calculating an arch curve of the patient's dentition based on the facial lines. ### Claim 19 (depends on 13) The non-transitory computing device readable medium of claim 13, wherein graphically marking the dental references further comprises assigning one or more cuspid widths on the target dental model, wherein the method further comprises calculating an arch width of the patient's dentition based on the one or more cuspid widths. ### Claim 20 (depends on 13) The non-transitory computing device readable medium of claim 13, wherein graphically marking the dental references further comprises assigning one or more molar widths on the target dental model, wherein the method further comprises calculating an arch width of the patient's dentition based on the one or more molar widths.