Method, device, and computer program for generating model for fabricating temporary denture of edentulous patient

Abstract

A method for generating a model for fabricating a temporary denture of an edentulous patient, the method being performed by using a computing device, comprises the steps of: acquiring facial data of an edentulous patient; acquiring tray scan data generated by scanning a tray fabricated for the edentulous patient; generating registration data by registering the acquired facial data and the acquired tray scan data; and generating a temporary denture model for fabricating a temporary denture for the edentulous patient by analyzing the generated registration data.

Description

Method, device, and computer program for generating a model for fabricating temporary dentures for edentulous patients

[0001] The present disclosure relates to a method, device, and computer program for creating a model for making a temporary denture for an edentulous patient, and more particularly, to a method, device, and computer program for creating a temporary denture model for making a temporary denture for an edentulous patient based on the results of facial image analysis of the edentulous patient.

[0002] The fabrication of temporary dentures for edentulous patients requires a highly precise and complex process. In conventional technology, it was essential to evaluate the oral condition of the patient's maxilla and mandible to establish the ideal vertical dimension and occlusal plane. This process involves several steps, including taking impressions of the maxilla and mandible, fabricating wax rims, establishing the vertical dimension, and aligning the teeth. Each step requires a high degree of precision, and even small errors occurring during this process can significantly affect the quality of the final product.

[0003] In particular, impression taking has a significant impact on the accuracy of subsequent steps; however, since traditional methods rely on manual labor, errors caused by human error or technical limitations are likely to occur. The wax rim fabrication process is also performed manually, which is time-consuming and where the consistency of results can vary depending on experience. These processes pose a major obstacle to ensuring the occlusal accuracy of the denture.

[0004] The setting of vertical dimension and occlusal plane is crucial for meeting the functional and aesthetic needs of edentulous patients. Incorrect setting of vertical dimension can reduce the patient's masticatory efficiency and increase facial muscle fatigue. Furthermore, if the occlusal plane is improperly set, there is a risk of causing masticatory imbalance or TMJ (temporomandibular joint disorder) in the long term. All these factors require a precise and systematic approach for the successful fabrication of temporary dentures.

[0005] However, in conventional technology, this approach had to be performed without the aid of digital technology, which presents a problem in that it is difficult to guarantee work efficiency and product consistency. In this regard, the inventions of Korean Patent 10-2023-01220337 (Title of Invention: Disposable edentulous tray and method for producing a complete denture using the same) and Korean Patent 10-2022-0011028 (Title of Invention: Method for manufacturing a denture device for edentulous patients) are disclosed.

[0006] The background technology described above is technology that the inventor possessed or acquired in the process of deriving the disclosure of the present application, and cannot necessarily be said to be publicly known technology disclosed to the general public prior to the present application.

[0007] One objective according to the embodiments of the present disclosure is to provide a method, apparatus, and computer program for creating a model for making a temporary denture for an edentulous patient, which enables the temporary denture for the patient to be made more accurately and efficiently by analyzing facial data of an edentulous patient and tray scan data obtained by scanning a tray made for an edentulous patient to create a temporary denture model for making a temporary denture for the patient.

[0008] However, the problems to be solved by the present disclosure are not limited to those mentioned above, and may include purposes that are not mentioned but can be clearly understood by a person having ordinary skill in the technical field to which the present disclosure belongs from the description below.

[0009] A method for generating a model for fabricating a temporary denture for an edentulous patient according to one embodiment may be performed using a computing device. In one embodiment, the method for generating a model for fabricating a temporary denture for an edentulous patient may include the steps of acquiring facial data of an edentulous patient, acquiring tray scan data generated by scanning a tray fabricated for the edentulous patient, generating alignment data by aligning the acquired facial data and the acquired tray scan data, and analyzing the generated alignment data to generate a temporary denture model for fabricating a temporary denture for the edentulous patient.

[0010] In one embodiment, after the step of generating the alignment data, the method may include the step of extracting intermaxillary relationship information of the edentulous patient based on the alignment data.

[0011] In one embodiment, the acquired face data may be data generated by photographing the face of the edentulous patient with at least a portion of the tray exposed to the outside after the edentulous patient wears the tray.

[0012] In one embodiment, the acquired tray scan data may be data generated by scanning a tray in which an impression of the edentulous patient has been taken.

[0013] In one embodiment, the step of generating the alignment data may include the step of extracting a first feature from the acquired face data, the step of extracting a second feature from the acquired tray scan data, and the step of aligning the acquired face data and the acquired tray scan data based on the extracted first feature and the extracted second feature.

[0014] In one embodiment, the step of generating the temporary denture model may include the step of generating a tooth library containing the intermaxillary relationship information on the face data included in the alignment data, and the step of generating the temporary denture model using the generated tooth library.

[0015] In one embodiment, the step of generating the tooth library may include the step of generating patient information of the edentulous patient using face data included in the matching data, and the step of generating the tooth library on the extracted recording base based on the generated patient information.

[0016] In one embodiment, the generated patient information may include facial data showing the glabella line, vertical dimension line, occlusal plane, inner canthus line, mid plane, and anterior reference line of the tooth library for the edentulous patient.

[0017] In one embodiment, the step of generating patient information of the edentulous patient may include the steps of setting a glabella line for the edentulous patient on facial data included in the matching data, calculating a first distance between the set glabella line and a reference plane, wherein the reference plane includes a campus plane, and setting a vertical meridian for the edentulous patient so as to be parallel to the set glabella line at a position spaced apart from the reference plane on the acquired facial data in the direction of the jaw of the edentulous patient by the calculated first distance.

[0018] In one embodiment, the step of generating patient information for the edentulous patient may include: setting a vertical dimension line for the edentulous patient on the acquired face data; setting a mid plane and a pupil line for the edentulous patient on the acquired face data; calculating a second distance between the set vertical dimension line and a reference plane—the reference plane including a Campers plane—based on the set mid plane; and setting an occlusal plane for the edentulous patient parallel to the set Campers plane at a position spaced apart by the second distance calculated from the set pupil line on the acquired face data in the direction of the edentulous patient's jaw.

[0019] In one embodiment, the step of creating a tooth library on the facial data of the matching data based on the generated patient information may include a step of creating a tooth library such that preset condition information is satisfied based on the generated patient information.

[0020] In one embodiment, the preset condition information may include positioning the tips of the bilateral canines in a straight line with the inner canthus line connecting the two inner ends of the eye, setting the remaining teeth excluding the bilateral canines to the ratio of the average tooth size of reference users, forming an arch according to a curvature value within a preset range, fitting the upper and lower tooth libraries based on the occlusal plane of the edentulous patient, and fitting the tooth libraries on the interproximal side between the upper and lower incisors based on the mid plane of the edentulous patient.

[0021] In one embodiment, the preset condition information includes positioning the Nasion, the A-point, and the labial side of the maxillary central incisor in a straight line, and positioning the labial side of the maxillary central incisor on a reference plane, wherein the reference plane may be a plane that is perpendicular to the Frankfort Horizontal Plane at a point corresponding to the Nasion set a predetermined distance in front of the pupil point of the edentulous patient.

[0022] In one embodiment, the step of creating a temporary denture model using the generated tooth library may include the step of creating a denture base based on a recording base extracted from the tray scan data, and creating a temporary denture model by combining the created denture base and the generated tooth library.

[0023] In one embodiment, a model generation device for fabricating a temporary denture for an edentulous patient includes a processor, a network interface, a memory, and a computer program loaded into the memory and executed by the processor, wherein the computer program may include instructions for acquiring facial data of an edentulous patient, instructions for acquiring tray scan data generated by scanning a tray manufactured for the edentulous patient, instructions for generating matching data by matching the acquired facial data with the acquired tray scan data, and instructions for analyzing the generated matching data to generate a temporary denture model for fabricating a temporary denture for the edentulous patient.

[0024] In one embodiment, a computer program may be combined with a computing device and stored on a recording medium readable by the computing device to execute a method for creating a model for making a temporary denture for an edentulous patient, comprising the steps of: acquiring face data of an edentulous patient; acquiring tray scan data generated by scanning a tray fabricated for the edentulous patient; generating alignment data by aligning the acquired face data and the acquired tray scan data; and analyzing the generated alignment data to create a temporary denture model for making a temporary denture for the edentulous patient.

[0025] According to embodiments of the present disclosure, by analyzing facial data of an edentulous patient and tray scan data obtained by scanning a tray fabricated for an edentulous patient to generate a temporary denture model for fabricating a temporary denture for the patient, a temporary denture for the patient can be fabricated more accurately and efficiently.

[0026] In addition, errors occurring during the impression taking process are replaced with ideal patient information (Occlusal plane) extracted from facial data, thereby enabling the production of temporary dentures for the patient more accurately.

[0027] However, the effects obtainable from the present disclosure are not limited to those mentioned above, and other unmentioned effects will be clearly understood by those skilled in the art to which the present disclosure belongs from the description below.

[0028] The following drawings attached to this specification illustrate preferred embodiments of the present disclosure and serve to further enhance understanding of the technical concept of the present disclosure together with the detailed description of the invention; therefore, the present disclosure should not be interpreted as being limited only to the matters described in such drawings.

[0029] FIG. 1 is a diagram illustrating a model generation system for producing a temporary denture for an edentulous patient according to one embodiment of the present disclosure.

[0030] FIG. 2 is a diagram illustrating a hardware configuration of a model generation device for producing a temporary denture for an edentulous patient according to one embodiment of the present disclosure.

[0031] FIG. 3 is a flowchart of a method for creating a model for making a temporary denture for an edentulous patient according to one embodiment of the present disclosure.

[0032] FIG. 4 is a diagram illustrating facial data according to an embodiment of the present disclosure.

[0033] FIG. 5 is a diagram illustrating tray scan data according to an embodiment of the present disclosure.

[0034] FIG. 6 is a flowchart of a method for creating a temporary denture model according to one embodiment of the present disclosure.

[0035] FIG. 7 is a diagram illustrating an example of a form in which a recording base is extracted from matching data according to one embodiment of the present disclosure.

[0036] FIG. 8 is a flowchart of a method for creating a dental library according to one embodiment of the present disclosure.

[0037] FIG. 9 is a drawing exemplarily illustrating a form in which a tooth library is placed on alignment data according to one embodiment of the present disclosure.

[0038] FIG. 10 and FIG. 11 are drawings illustrating a temporary denture model generated according to one embodiment of the present disclosure.

[0039] The various embodiments described in this specification are exemplified for the purpose of clearly explaining the technical concept of the present disclosure and are not intended to be limited to specific embodiments. The technical concept of the present disclosure includes various modifications, equivalents, alternatives, and embodiments selectively combined from all or part of the embodiments described herein. Furthermore, the scope of the technical concept of the present disclosure is not limited to the various embodiments presented below or the specific descriptions thereof.

[0040] Terms used herein, including technical or scientific terms, unless otherwise defined, may have the meaning commonly understood by one of ordinary skill in the art to which this disclosure belongs.

[0041] As used herein, expressions such as "includes," "may include," "comprises," "may have," "have," and "may have" indicate the presence of a target feature (e.g., a function, operation, or component), but do not exclude the presence of other additional features. In other words, such expressions should be understood as open-ended terms that imply the possibility of including a second embodiment.

[0042] In this specification, singular expressions include plural expressions unless the context clearly indicates otherwise. Furthermore, plural expressions include singular expressions unless the context clearly indicates otherwise. When a part of the specification is said to include a component, this does not exclude other components, but rather implies that other components may be included, unless otherwise specifically stated.

[0043] As used herein, the expressions “first,” “second,” or “first,” “second,” etc., unless the context indicates otherwise, are used to refer to multiple similar objects and to distinguish one object from another, and do not limit the order or importance among the objects.

[0044] As used herein, the expressions "A, B, and C," "A, B, or C," "A, B, and / or C," or "at least one of A, B, and C," "at least one of A, B, or C," "at least one of A, B, and / or C," "at least one selected from A, B, and C," "at least one selected from A, B, or C," "at least one selected from A, B, and / or C," and the like can mean each listed item or all possible combinations of the listed items. For example, "at least one selected from A and B" can refer to (1) A, (2) at least one of A, (3) B, (4) at least one of B, (5) at least one of A and at least one of B, (6) at least one of A and B, (7) at least one of B and A, and (8) both A and B.

[0045] The expression "based on" as used herein is used to describe one or more factors that influence a decision, act of judgment, or action described in a phrase or sentence containing the expression, and this expression does not exclude additional factors that influence the decision, act of judgment, or action.

[0046] As used herein, the expression that a component (e.g., a first component) is “connected” or “connected” to another component (e.g., a second component) may mean that the component is directly connected or connected to the other component, as well as connected or connected via a new other component (e.g., a third component).

[0047] Hereinafter, various embodiments of the present disclosure will be described with reference to the attached drawings. In the attached drawings and the description of the drawings, identical or substantially equivalent components may be assigned the same reference numerals. Furthermore, in the description of various embodiments below, duplicate descriptions of identical or corresponding components may be omitted, but this does not mean that the corresponding components are not included in the embodiments.

[0048] FIG. 1 is a diagram illustrating a model generation system for producing a temporary denture for an edentulous patient according to one embodiment of the present disclosure.

[0049] Referring to FIG. 1, a model generation system for fabricating a temporary denture for an edentulous patient according to one embodiment of the present disclosure may include a model generation device (100), a user terminal (200), an external server (300), and a network (400).

[0050] Here, the model generation system for fabricating a temporary denture for an edentulous patient illustrated in FIG. 1 is according to one embodiment, and its components are not limited to the embodiment illustrated in FIG. 1 and may be added, changed, or deleted as needed.

[0051] In one embodiment, the model generation device (100) (hereinafter referred to as 'computing device (100)') can generate a temporary denture model for manufacturing a temporary denture for an edentulous patient.

[0052] In one embodiment, the computing device (100) is connected to a user terminal (200) via a network (400), and can obtain, from the user terminal (200), facial data of an edentulous patient and tray scan data generated by scanning a tray manufactured for the edentulous patient, and can analyze the matching data obtained by matching the facial data and the tray scan data to generate a temporary denture model for manufacturing a temporary denture for the edentulous patient. At this time, after generating the matching data, information on the intermaxillary relationship of the edentulous patient, for example, patient information extracted from facial data and information on the relationship between the maxilla and the mandible, can be extracted based on the matching data.

[0053] Here, the user terminal (200) may refer to any type of entity(ies) in a system having a mechanism for communicating with the computing device (100). For example, the user terminal (200) may include a personal computer (PC), a notebook, a mobile terminal, a smart phone, a tablet PC, a wearable device, etc., and may include all types of terminals capable of connecting to a wired / wireless network. In addition, the user terminal (200) may include any computing device implemented by at least one of an agent, an Application Programming Interface (API), and a plug-in. In addition, the user terminal (200) may include an application source and / or a client application.

[0054] In addition, here, the network (400) may refer to a connection structure that enables information exchange between each node, such as a plurality of terminals and servers. For example, the network (400) may include a local area network (LAN), a wide area network (WAN), the Internet (WWW), a wired and wireless data communication network, a telephone network, a wired and wireless television communication network, a controller area network (CAN), and Ethernet.

[0055] In one embodiment, the external server (300) may be connected to the computing device (100) via a network (400), and may store and manage various information and data required for the computing device (100) to perform a method for creating a model for producing a temporary denture for an edentulous patient, or may receive, store, and manage various information and data derived as the computing device (100) performs the method for creating a model for producing a temporary denture for an edentulous patient. For example, the external server (300) may be a storage server separately provided outside the computing device (100), but is not limited thereto. Hereinafter, with reference to FIG. 2, a hardware configuration of a computing device that performs a method for creating a model for producing a temporary denture for an edentulous patient will be described.

[0056] FIG. 2 is a diagram illustrating a hardware configuration of a model generation device for producing a temporary denture for an edentulous patient according to one embodiment of the present disclosure.

[0057] Referring to FIG. 2, a computing device (100) according to another embodiment of the present disclosure may include one or more processors (110), a memory (120) for loading a computer program (151) executed by the processor (110), a bus (130), a communication interface (140), and a storage (150) for storing the computer program (151). Here, FIG. 2 illustrates only the components related to the embodiments of the present disclosure. Accordingly, a person skilled in the art to which the present disclosure pertains will understand that other general-purpose components may be included in addition to the components illustrated in FIG. 2.

[0058] The processor (110) controls the overall operation of each component of the computing device (100). The processor (110) may be configured to include a CPU (Central Processing Unit), an MPU (Micro Processor Unit), an MCU (Micro Controller Unit), a GPU (Graphics Processing Unit), or any other type of processor well known in the art of the present disclosure.

[0059] Additionally, the processor (110) may perform operations for at least one application or program for executing a method according to embodiments of the present disclosure, and the computing device (100) may have one or more processors.

[0060] In various embodiments, the processor (110) may further include a Random Access Memory (RAM, not shown) and a Read-Only Memory (ROM, not shown) that temporarily and / or permanently store signals (or data) processed within the processor (110). In addition, the processor (110) may be implemented in the form of a system on chip (SoC) that includes at least one of a graphics processing unit, RAM, and ROM.

[0061] Memory (120) stores various data, instructions and / or information. Memory (120) may load a computer program (151) from storage (150) to execute a method / operation according to various embodiments of the present disclosure. When the computer program (151) is loaded into memory (120), the processor (110) may perform the method / operation by executing one or more instructions constituting the computer program (151). Memory (120) may be implemented as a volatile memory such as RAM, but the technical scope of the present disclosure is not limited thereto.

[0062] The bus (130) provides communication functions between components of the computing device (100). The bus (130) can be implemented as various types of buses, such as an address bus, a data bus, and a control bus.

[0063] The communication interface (140) supports wired and wireless internet communication of the computing device (100). Additionally, the communication interface (140) may support various communication methods other than internet communication. To this end, the communication interface (140) may be configured to include a communication module well known in the art of the present disclosure. In some embodiments, the communication interface (140) may be omitted.

[0064] Storage (150) can store computer programs (151) non-temporarily. When a model generation process for fabricating temporary dentures for edentulous patients is performed through a computing device (100), storage (150) can store various information necessary to provide a model generation process for fabricating temporary dentures for edentulous patients.

[0065] The storage (150) may be configured to include non-volatile memory such as ROM (Read Only Memory), EPROM (Erasable Programmable ROM), EEPROM (Electrically Erasable Programmable ROM), flash memory, a hard disk, a removable disk, or any form of computer-readable recording medium well known in the art to which the present disclosure belongs.

[0066] A computer program (151) may include one or more instructions that cause a processor (110) to perform a method / operation according to various embodiments of the present disclosure when loaded into memory (120). That is, the processor (110) may perform the method / operation according to various embodiments of the present disclosure by executing the one or more instructions.

[0067] In one embodiment, the computer program (151) may include one or more instructions for performing a method for creating a model for creating a temporary denture for an edentulous patient, comprising the steps of: acquiring face data of an edentulous patient; acquiring tray scan data generated by scanning a tray made for an edentulous patient; generating alignment data by aligning the acquired face data and the acquired tray scan data; and analyzing the generated alignment data to create a temporary denture model for creating a temporary denture for an edentulous patient.

[0068] The components of the present disclosure may be implemented as a program (or application) and stored on a medium to be executed in combination with a computer, which is hardware. The components of the present disclosure may be executed as software programming or software elements, and similarly, embodiments may be implemented in programming or scripting languages ​​such as C, C++, Java, assembler, etc., including various algorithms implemented as a combination of data structures, processes, routines, or other programming configurations. Functional aspects may be implemented as algorithms executed on one or more processors. Hereinafter, with reference to FIGS. 3 through 11, a method for generating a model for fabricating a temporary denture for an edentulous patient, performed by a computing device (100), will be described.

[0069] FIG. 3 is a flowchart of a method for creating a model for making a temporary denture for an edentulous patient according to one embodiment of the present disclosure.

[0070] Referring to FIG. 3, in step S110, the computing device (100) can acquire face data of an edentulous patient.

[0071] Here, the face data of an edentulous patient may be data generated by photographing the face of an edentulous patient with at least a portion of the tray exposed to the outside after the edentulous patient wears the tray (51), as shown in FIG. 4, but is not limited thereto.

[0072] In one embodiment, the computing device (100) can acquire multiple types of face data for edentulous patients and can generate combined face data by combining the multiple face data.

[0073] Here, multiple types of different facial data may include, but are not limited to, 3D (three-dimensional) facial images of the face including the tooth area of ​​an edentulous patient, intraoral scan (IOS) images of the tooth area of ​​an edentulous patient, and CT images including the tooth area of ​​an edentulous patient.

[0074] In addition, the combined face data may be a dental 3D avatar generated by combining a 3D face image, an oral scan (IOS) image, and a CT scan image, but is not limited thereto.

[0075] A 3D face image may be obtained by capturing a patient's face using a 3D face capturing device. According to one embodiment, the 3D face capturing device may include a plurality of cameras and may be operated in a manner in which the plurality of cameras capture the patient's face in a single shot to obtain a 3D face image. However, the 3D face capturing device may also be operated in a manner in which the patient's face is fixed or moved while capturing the patient's face with a time delay, and is not limited thereto.

[0076] Oral scan (IOS) images may be obtained by scanning the patient's tooth area, that is, the inside of the oral cavity, using a 3D oral scanner. As a non-contact scanner, the 3D oral scanner collects surface data of the patient's oral cavity structure and, based on this, can generate 3D oral scan (IOS) images using methods such as confocal or optical triangulation. When 3D oral scan (IOS) images are obtained as digital impressions using a 3D oral scanner in this manner, there is an advantage in that there is no need to go through the cumbersome procedure of physically obtaining the patient's oral cavity structure by performing an impression (mold-taking) using impression material contained in a tray. Oral scan (IOS) images may be obtained through various types of commercially available 3D oral scanners, but are not limited thereto.

[0077] CT images may be obtained by imaging a facial area including the patient's teeth using CT equipment. The CT equipment may be dental CT equipment, for example, a cone-beam CT device. Cone-beam CT equipment has the advantage of acquiring CT images of the patient's teeth while minimizing radiation exposure to the patient by scanning a cone-shaped X-ray beam. However, the CT equipment may also be fan-beam CT equipment that scans a fan-shaped X-ray beam. That is, CT images according to the embodiments of the present disclosure may be obtained through various CT devices, but are not limited thereto.

[0078] In one embodiment, the computing device (100) can generate a dental 3D avatar as combined face data by combining an oral scan (IOS) image, a 3D face image, and a CT scan image. According to one embodiment, for this combination, a method of extracting landmarks of the patient's face and / or tooth area and using them to perform alignment between images may be used. However, other methods other than the method using landmarks may be used, and are not limited thereto.

[0079] In one embodiment, the computing device (100) can extract three or more landmarks of the patient's face and teeth area. Since the oral scan (IOS) image, 3D face image, and CT scan image according to the embodiments of the present disclosure are all three-dimensional or at least two or more are three-dimensional data, the x, y, and z axes cannot all be aligned with only two (or one) landmarks, so three or more landmarks can be extracted, but are not limited thereto.

[0080] In step S120, the computing device (100) can acquire tray scan data generated as it scans the tray of an edentulous patient.

[0081] Here, the tray (51) for an edentulous patient is manufactured based on patient information regarding the edentulous patient, and the tray scan data may be data generated by scanning the tray in which the impression of the edentulous patient is taken, as shown in FIG. 5, but is not limited thereto. Here, the tray scan data may include a recording base (53).

[0082] In step S130, the computing device (100) can generate matching data by matching the face data obtained through step S110 and the tray scan data obtained through step S120.

[0083] In one embodiment, the computing device (100) can extract a first feature from face data and extract a second feature from tray scan data, and can generate alignment data by aligning the face data and the tray scan data based on the first feature and the second feature.

[0084] Here, the first feature and the second feature may serve as criteria for aligning the face data and the tray scan data. For example, as the face data includes not only the face of an edentulous patient but also at least a portion of the tray, the first feature is one or more landmarks (e.g., central incisor point, labial incisal plane, canine end point, etc.) existing on at least a portion of the tray included in the face data, and the second feature may be a landmark existing on the tray scan data that is identical to the landmark extracted from the face data, but is not limited thereto.

[0085] In step S140, the computing device (100) can generate a temporary denture model for fabricating a temporary denture for an edentulous patient using the alignment data generated through step S130. Hereinafter, a method for generating a temporary denture model will be described in more detail with reference to FIGS. 6 to 11.

[0086] FIG. 6 is a flowchart of a method for creating a temporary denture model according to one embodiment of the present disclosure.

[0087] Referring to FIG. 6, in step S210, the computing device (100) can extract a recording base (53) from the alignment data generated by aligning the face data and the tray scan data (e.g., FIG. 7). Here, the patient's recording base (53) may mean a recording of the patient's oral structure, but is not limited thereto. As another example, based on the generated alignment data, information on the intermaxillary relationship of an edentulous patient, for example, information on the relationship between the upper and lower jaws, can be extracted from the patient information extracted from the face data.

[0088] In step S220, the computing device (100) can create a tooth library (55) on the alignment data generated by aligning the face data and the tray scan data (e.g., FIG. 9). As another example, the computing device (100) can create a tooth library (55) containing intermaxillary relationship information on the face data included in the alignment data.

[0089] In one embodiment, the computing device (100) can generate patient information of an edentulous patient using face data included in the matching data, and can generate a tooth library (55) on the matching data based on the patient information. Hereinafter, it will be explained in more detail with reference to FIG. 8.

[0090] FIG. 8 is a flowchart of a method for creating a dental library according to one embodiment of the present disclosure.

[0091] Referring to FIG. 8, at step S310, the computing device (100) can extract one or more features using facial data of an edentulous patient.

[0092] Here, one or more features may be landmarks present on the facial area of ​​an edentulous patient.

[0093] In addition, here, one or more features serve as criteria for generating patient information from facial data of an edentulous patient, and since the patient information is an ideal vertical dimension line and an ideal occlusal plane for the edentulous patient, one or more features may be landmarks necessary to establish the vertical dimension line and the occlusal plane. For example, the computing device (100) may extract Glabella, Ala, Porion, Philtrum, and the center of the nose as features on the facial region of the edentulous patient as it analyzes facial data, but is not limited thereto.

[0094] In one embodiment, the computing device (100) can extract one or more landmarks present in the face region of an edentulous patient by analyzing face data through a previously trained artificial intelligence model.

[0095] Here, the pre-trained artificial intelligence model may be a model pre-trained using multiple face data with landmarks labeled as training data, but is not limited thereto.

[0096] An artificial intelligence model (e.g., a neural network) consists of one or more network functions, and one or more network functions may consist of a set of interconnected computational units that can generally be referred to as 'nodes'. These 'nodes' may also be referred to as 'neurons'. One or more network functions are composed of at least one node. The nodes (or neurons) constituting one or more network functions may be interconnected by one or more 'links'.

[0097] In various embodiments, the artificial intelligence model may be a deep learning model.

[0098] A deep learning model (e.g., a deep neural network (DNN)) can refer to an artificial intelligence model that includes multiple hidden layers in addition to input and output layers. Using a deep neural network, one can identify the latent structures of data. That is, one can identify the latent structures of photos, text, videos, voice, and music (e.g., what objects are in a photo, what the content and emotions of the text are, what the content and emotions of the voice are, etc.).

[0099] At step S320, the computing device (100) can generate patient information of an edentulous patient based on the features extracted through step S310.

[0100] More specifically, first, the computing device (100) can set a glabella line for an edentulous patient based on one or more features (landmarks) extracted from face data. For example, the computing device (100) can set a glabella line by connecting the center points of both eyebrows of the edentulous patient while the patient is looking straight ahead (frontal view in the Reorientation by Campers plane state).

[0101] Here, the computing device (100) sets the glabellar line on the facial data of the edentulous patient, and the position of the glabellar line may be set in a form that can be modified by the user, but is not limited thereto.

[0102] Subsequently, the computing device (100) can set a vertical dimension line based on the glabella line. For example, the computing device (100) can calculate the distance between the glabella line and a first reference plane, and can set a vertical dimension line at a position spaced apart by the calculated distance from the cavocosal plane on the face data toward the jaw of an edentulous patient.

[0103] Here, the first reference plane may be a Campers plane, but is not limited thereto.

[0104] In addition, here, the computing device (100) can define a mid-plane for an edentulous patient and calculate the distance between the glabellar line and the campus plane based on the mid-plane, but is not limited thereto.

[0105] In addition, here, the computing device (100) can set the vertical meridian line for an edentulous patient to be parallel to the glabellar line set on the facial data, but is not limited thereto.

[0106] Thereafter, the computing device (100) can set the occlusal plane based on the vertical meridian line. For example, the computing device (100) can set the campus plane and the midline plane for an edentulous patient as the first and second reference planes on the facial data, set the pupil line for the edentulous patient as the reference line, calculate the distance between the vertical meridian line and the campus plane based on the midline plane, and set the occlusal plane for the edentulous patient at a position spaced apart by the calculated distance from the pupil line on the facial data in the direction of the jaw of the edentulous patient.

[0107] Here, the computing device (100) may set an occlusal plane parallel to a campus plane set on the face data, but is not limited thereto.

[0108] Thereafter, the computing device (100) can generate patient information using the vertical meridian line and the occlusal plane. For example, the computing device (100) can generate facial data indicating an ideal vertical meridian line and occlusal plane as patient information by setting the vertical meridian line and occlusal plane set according to the above method on the facial data of an edentulous patient.

[0109] Here, the computing device (100) is described as displaying only the vertical height line and the occlusal plane as patient information, but is not limited thereto and may also display various information that serves as a standard for setting the vertical height line and the occlusal plane (e.g., interbrow line, pupil line, cavocombe plane, midline plane, etc.).

[0110] At step S330, the computing device (100) can create a dental library based on the patient information generated through step S320.

[0111] In one embodiment, the computing device (100) can create a tooth library that satisfies preset condition information based on patient information of an edentulous patient.

[0112] Here, the pre-configured condition information refers to information regarding conditions set in advance to generate a tooth library, and may, for example, refer to criteria for generating a tooth library. For example, the pre-configured condition information may include the following content.

[0113] First, among the conditions set for creating a tooth library, the conditions in the left / right direction may include, as shown in FIG. 5, positioning the apex of both canines in a straight line with the inner canthus line connecting both ends of the eye, setting the remaining teeth excluding both canines to the ratio of the average tooth size of reference users (e.g., average adult tooth size), forming an arch according to a curvature value within a pre-set range, fitting the upper and lower tooth libraries based on the occlusal plane of an edentulous patient, and fitting the tooth library on the interproximal side of the incisors of the upper and lower jaws based on the mid plane of an edentulous patient.

[0114] Next, among the conditions set for generating a tooth library, the conditions in the anterior / posterior direction may include aligning the Nasion, A-point, and the labial side of the maxillary central incisor in a straight line as shown in FIG. 6, and aligning the labial side of the maxillary central incisor on a third reference plane.

[0115] Here, the third reference plane may be, but is not limited to, a plane descending perpendicularly from the Frankfort Horizontal Plane at a point corresponding to a Nazion set a predetermined length forward of the pupil point of an edentulous patient.

[0116] Again, referring to FIG. 6, in step S230, the computing device (100) can generate a temporary denture model (57) using the recording base (53) and / or intermaxillary relationship information extracted through step S210 and the tooth library (55) generated through step S220 (e.g., FIG. 10 and FIG. 11).

[0117] In one embodiment, the computing device (100) can adjust the attributes of a tooth library (e.g., size, position, and orientation, etc.) based on an area corresponding to a recording base, and can generate a temporary denture model using the recording base and the tooth library with adjusted attributes. The computing device (100) can generate a temporary denture model using a tooth library containing intermaxillary relationship information.

[0118] As described above, those skilled in the art will appreciate that the present disclosure can be implemented in other specific forms without altering the technical spirit or essential characteristics thereof. Therefore, the above-described embodiments should be understood as illustrative in all respects and not restrictive. The scope of the present disclosure is defined by the following claims rather than the detailed description, and all changes or modifications derived from the meaning and scope of the claims and equivalent concepts should be construed as being included within the scope of the present disclosure.

[0119] The features and advantages described in this specification are not exhaustive, and many additional features and advantages will become apparent to those skilled in the art upon review of the drawings, specification, and claims. Furthermore, it should be noted that the language used in this specification has been primarily selected for readability and instructional purposes, and may not be intended to delineate or circumscribe the subject matter of the present disclosure.

[0120] The above description of the embodiments of the present disclosure has been presented for illustrative purposes. It is not intended to be exhaustive or to limit the disclosure to the precise form disclosed. Those skilled in the art will appreciate that numerous modifications and variations are possible in light of the above disclosure.

[0121] Therefore, the scope of this disclosure is not limited by the detailed description, but is defined by any claims of the application based on this description. Accordingly, the disclosure of embodiments of this disclosure is illustrative and does not limit the scope of this disclosure, which is set forth in the following claims.

Claims

1. Processor; network interface; memory; and A computer program loaded into the above memory and executed by the above processor, The above computer program, A step of acquiring at least one patient's facial data; wherein the facial data includes data generated by photographing the patient's face while the patient wears a tray manufactured for the patient and exposes at least a portion of the tray; A step of generating tray scan data by scanning the above tray; A step of generating matching data by matching the above facial data and the above tray scan data; and A model generation device for producing a temporary denture, comprising a step of generating a temporary denture model for the patient by analyzing the above matching data.

2. In paragraph 1, The above tray scan data is generated by scanning the tray in a state where the impression of the patient has been taken, and is a model generation device for producing a temporary denture including a recording base.

3. In paragraph 2, The step of analyzing the above matching data to create a temporary denture model for the patient is as follows: A step of extracting at least one of the recording base and the intermaxillary relationship information of the edentulous patient from the above matching data; A step of creating a tooth library on the above matching data; A step of creating a temporary denture model using the extracted recording base and the intermaxillary relationship information and the tooth library, The above recording base is a model creation device for producing a temporary denture including the oral structure of the edentulous patient.

4. In paragraph 3, The above intermaxillary relationship information is a model generation device for making a temporary denture, which is information on the relationship between the patient's maxilla and mandible extracted from the above facial data.

5. In paragraph 1, The step of generating the above matching data is: A step of extracting a first feature from the above facial data; A step of extracting a second feature from the tray scan data; and A model generation device for producing a temporary denture, comprising a step of aligning the facial data and the tray scan data based on the first feature and the second feature.

6. In paragraph 3, A model generation device for producing a temporary denture capable of adjusting at least one of the size, position and direction of the tooth library based on an area corresponding to a permanent recording base.

7. In paragraph 3, The step of creating a tooth library on the above matching data is: A step of generating patient information of the patient using the facial data included in the above matching data; and A model generation device for producing a temporary denture, comprising a step of generating the tooth library on the facial data of the matching data based on the generated patient information.

8. In paragraph 7, The patient information generated above is: A model generation device for producing a temporary denture including facial data indicating the glabella line, vertical dimension line, occlusal plane, inner canthus line, mid plane, and tooth library anterior reference line for the above patient.

9. In paragraph 7, The step of creating patient information of the above patient is: A step of setting a glabella line for the patient on the facial data included in the above matching data; A step of calculating a first distance between the above-described set interdental line and a reference plane, wherein the reference plane includes a campus plane; and A model creation device for making a temporary denture, comprising a step of setting a vertical meridian for the patient parallel to the set glabellar line at a position spaced apart from the reference plane on the acquired facial data by the calculated first distance in the direction of the patient's jaw.

10. In paragraph 7, The step of creating patient information of the above patient is: A step of setting a vertical dimension line for the patient on the acquired facial data; A step of setting a mid plane and pupil line for the patient on the acquired facial data; A step of calculating a second distance between the set vertical meridian and a reference plane based on the set median plane, wherein the reference plane includes a campus plane; and A model generation device for producing a temporary denture, comprising a step of setting an occlusal plane for the patient so as to be parallel to the set campus plane at a position spaced apart from the set pupil line on the acquired facial data by the second calculated distance in the direction of the patient's jaw.

11. In paragraph 7, The step of creating a dental library on the facial data of the matching data based on the generated patient information is as follows: A model generation device for producing a temporary denture, comprising a step of generating a tooth library so that preset condition information is satisfied based on the patient information generated above.

12. In paragraph 11, The above preset condition information is: The tips of the canines on both sides should be aligned with the inner canthus line connecting the two ends of the inner corner of the eye. Except for the canines on both sides, the remaining teeth are set to the average tooth size ratio of the standard users and form an arch according to the curvature value within the preset range. The upper and lower tooth libraries are fitted based on the occlusal plane of the patient. A model generation device for producing a temporary denture, which includes fitting a tooth library on the interproximal side of the upper and lower central incisors based on the mid-plane of the patient.

13. In paragraph 11, The above preset condition information is: Ensure that the Nasion, A-point, and the labial side of the maxillary central incisor are in a straight line. Including positioning the labial side of the maxillary central incisor on the reference plane, The above reference plane is, A model generation device for producing a temporary denture, which is a plane that descends vertically to the Frankfort Horizontal Plane at a point corresponding to a Nazion set a predetermined distance in front of the patient's pupil point.

14. In paragraph 5, The first feature comprises at least one landmark disposed on at least a portion of the tray, at least a portion of which is exposed; The second feature is a model generation device for producing a temporary denture including at least one landmark placed on the tray scan data.

15. In paragraph 14, The second feature is a model generation device for producing a temporary denture with the same landmark as the first feature.

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