KR20230023258A - System for providing orthodontic treatment evaluation information based on the patient's tooth arrangement - Google Patents

Abstract

The present invention relates to a system for providing orthodontic treatment evaluation information based on a patient's tooth alignment, which is implemented by a computing device including one or more processors and one or more memories storing instructions executable by the processors, comprising: a target value acquisition unit which, when receiving first tooth scan data that is 3D scan data obtained by photographing a patient from a medical practitioner account, acquires a first tooth image that is a malocclusion image of the patient's teeth based on the received first tooth scan data, obtains treatment solution information based on the acquired first tooth image, and obtains a correction target value for correcting the patient's malocclusion based on the obtained treatment solution information; a second tooth image acquisition unit which, in a state where acquisition of the correction target value is completed, when receiving second tooth scan data that is new 3D scan data obtained by photographing the patient who has completed orthodontic treatment with a transparent correction device, obtains a second tooth image that is an image of a corrected tooth alignment based on the second tooth scan data; and an evaluation information provision unit which, when obtaining a correction achievement value for each corrected tooth based on the obtained second tooth image and obtaining error information by comparing the correction achievement value and the correction target value, creates orthodontic treatment evaluation information that is evaluation information for orthodontic treatment based on the obtained error information, and provides the same to the medical practitioner account. Therefore, whether orthodontic treatment has been corrected based on treatment solution information can be determined. In addition, various embodiments identified through the present document are possible.

Description

System for providing orthodontic treatment evaluation information based on patient's tooth arrangement

The present invention relates to a system for providing orthodontic treatment evaluation information based on a patient's tooth arrangement, and specifically, based on first tooth scan data, which is three-dimensional scan data obtained by photographing the patient, Determines the type of occlusion, obtains a correction target value based on treatment solution information for correcting the determined malocclusion, and corrects each tooth to be corrected based on second tooth scan data received thereafter The present invention relates to a technique of acquiring an achievement value and generating orthodontic treatment evaluation information, which is evaluation information for orthodontic treatment, based on the calibration achievement value and the calibration target value.

The transparent orthodontic method uses a frame made of transparent special reinforced plastic to correct malocclusion. Recently, interest in aesthetic orthodontic treatment has increased and the transparent orthodontic market has replaced traditional orthodontic devices using metal wires and brackets. this is growing rapidly Despite the global growth trend, the domestic market has a high share of foreign products in the analog bracket correction method, and the digital correction market is insignificant except for some brands of transparent correction devices. Accordingly, the domestic dental industry is developing various technologies to replace these imported markets, expand the digital orthodontic market, and enter the global market.

As an example, Korean Registered Patent No. 10-222746 (Method for Arranging Teeth for Orthodontic Treatment and Orthodontic CAD System for Performing the same) discloses current orthodontic treatment in previous orthodontic cases through data analysis and artificial intelligence-based comparison for current orthodontic treatment patients. A technology for searching for orthodontic cases that match patient's tooth data and automatically recommending them is disclosed.

However, in the above-mentioned prior art, only a technique of simply searching for a case of correction that matches the tooth data of the current orthodontic treatment patient and automatically recommending it is disclosed, determining the type of malocclusion for each of the patient's teeth, Since a technique for evaluating orthodontic treatment applied to a patient has not been disclosed, the need for a technique capable of solving this problem is emerging.

Accordingly, the present invention obtains a first tooth image corresponding to the patient's malocclusion from the first tooth portion scan data, which is three-dimensional scan data obtained by photographing the patient, and based on the obtained first tooth image, the patient's In case of obtaining treatment solution information by determining the type of malocclusion, obtaining a correction target value for each tooth of the patient based on the obtained treatment solution information, and receiving second tooth scan data, the received second tooth After obtaining correction achievement values for each of the patient's teeth corrected by the transparent orthodontic device through the second tooth image based on the sub-scan data, based on the correction target value and the correction achievement value, the patient's malocclusion correction treatment is performed. By acquiring orthodontic treatment evaluation information, which is evaluation information for orthodontic treatment, it is possible to determine the appropriateness of treatment for the patient's malocclusion through the orthodontic treatment evaluation information, and by deriving complementary points for each corrected tooth and providing orthodontic improvement information corresponding to the complementary points , Its purpose is to provide patients with highly esthetic tooth arrangements.

In the system for providing orthodontic treatment evaluation information based on a patient's tooth arrangement implemented as a computing device including one or more processors and one or more memories storing instructions executable by the processors according to an embodiment of the present invention, the patient When first tooth scan data, which is 3D scan data obtained by photographing, is received from a medical practitioner account, a first tooth image, which is a malocclusion image of a patient's teeth, is generated based on the received first tooth scan data. a target value acquisition unit that acquires treatment solution information based on the obtained first tooth image, and obtains a correction target value for correcting malocclusion of the patient based on the obtained treatment solution information; When the second tooth scan data, which is new 3D scan data acquired by photographing a patient whose orthodontic treatment has been completed by using a transparent aligner, is received in a state in which the correction target value has been obtained, the second tooth scan data Based on the, a second tooth image acquisition unit for acquiring a second tooth image that is an image of the corrected tooth arrangement; and when obtaining a correction achievement value for each corrected tooth based on the obtained second tooth image and obtaining error information by comparing the correction achievement value with the correction target value, based on the obtained error information. and an evaluation information providing unit generating orthodontic treatment evaluation information, which is evaluation information for orthodontic treatment, and providing the generated orthodontic treatment evaluation information to the medical personnel account.

The target value acquisition unit may include: a malocclusion check start unit that starts a malocclusion check process when receiving the first tooth portion scan data from the medical service provider account; When the malocclusion checking process starts, the first tooth image is analyzed through a pre-stored algorithm, the patient's tooth arrangement is confirmed through the analyzed first tooth image, and the confirmed tooth arrangement is set to a plurality of negative teeth. a malocclusion determining unit for classifying one of the occlusion information and determining malocclusion of the patient; and a solution acquiring unit acquiring treatment solution information for the patient's malocclusion through a machine learning-based artificial intelligence solution generating algorithm that derives a solution for orthodontic treatment when the determination of the patient's malocclusion is completed. it is desirable

The malocclusion determining unit, when confirming the arrangement of the patient's teeth, at least one of the position of each patient's teeth included in the first tooth image, the contact relationship of adjacent teeth, the vertical relationship, rotation and inclination through the pre-stored algorithm. It is possible to check one.

The target value acquisition unit may include: a guide application unit for applying a correction guide based on the treatment solution information to the first tooth image through the solution generating algorithm when the acquisition of the treatment solution information is completed by the solution acquisition unit; As the correction guide based on the treatment solution information is applied to the first tooth image, each patient's teeth are arranged in a state of corrected teeth, thereby obtaining a virtual correction image corresponding to the corrected tooth arrangement. a calibration image acquisition unit; and when the acquisition of the virtual correction image is completed, by comparing the virtual correction image with the first tooth image to obtain correction target direction information and correction target distance information for each tooth, which is a reference value for correcting malocclusion of the patient. It is possible to include; a calibration value acquisition unit for obtaining the calibration target value.

When the evaluation information providing unit obtains the second tooth image through the second tooth image acquisition unit, the second tooth image is analyzed through the pre-stored algorithm to achieve the correction for each corrected tooth of the patient. an achievement value acquisition unit that obtains a value; When the acquisition of the calibration achievement value is completed, an error value of the calibration achievement value with respect to the calibration target value is obtained by comparing the calibration target value and the calibration achievement value, and the obtained error value is within a designated error value range. an error value confirmation unit that determines whether it is included in; and error information generating error information based on a result determined by performing the function of the error value checking unit, analyzing the generated error information through the artificial intelligence solution generation algorithm, and generating the orthodontic treatment evaluation information. It is possible to include; analysis unit.

The orthodontic treatment evaluation information is information that determines whether orthodontic treatment for each patient's teeth is successful based on the error information, and if the orthodontic treatment for each patient's teeth based on the error information is confirmed to have failed, the Includes correction improvement information for correcting each tooth for which orthodontic treatment has failed, wherein the correction improvement information is information generated through the artificial intelligence solution generation algorithm, and other patients learned through the artificial intelligence solution generation algorithm It is possible that it is exemplary treatment information derived based on orthodontic treatment history information.

The evaluation information providing unit, when providing the orthodontic treatment evaluation information including the model treatment information to the medical practitioner account, generates a first design design that is design design information of the transparent orthodontic device based on the model treatment information. generating unit; and when the generation of the first design design is completed, an interface capable of obtaining second design design information, which is design design information of a transparent aligner based on the calibration target value, and comparing the first design design and the second design design. It is possible to include; a correction device design providing unit for providing the medical accountant.

The interface may modify the first design design based on the input doctor's opinion information when the doctor's opinion information for changing the design of the transparent aligner is received from the medical person's account.

It is possible to evaluate the orthodontic treatment for the patient's malocclusion through the orthodontic treatment evaluation information providing system based on the patient's tooth arrangement according to the present invention, and determine whether the orthodontic treatment for the patient's malocclusion is corrected based on the treatment solution information. there is.

In addition, by obtaining treatment solution information for correcting the patient's malocclusion through an artificial intelligence solution generation algorithm, a treatment guide suitable for the patient's tooth arrangement can be presented.

In addition, by applying the correction guide based on the treatment solution information to the first tooth image, which is an image based on the patient's malocclusion, to obtain a second tooth image corresponding to the corrected tooth arrangement, the patient is provided with a transparent orthodontic device. You can check the tooth arrangement to be corrected in advance.

In addition, the prognosis for orthodontic treatment for each tooth is determined through orthodontic treatment evaluation information obtained by comparing the orthodontic target value for each tooth to be ideally corrected with the orthodontic achievement value for each tooth substantially corrected through the transparent orthodontic device. can judge

1 is a block diagram illustrating a system for providing orthodontic treatment evaluation information based on a patient's tooth arrangement according to an embodiment of the present invention.
2 is a block diagram illustrating a target value obtaining unit of a system for providing orthodontic treatment evaluation information based on a patient's teeth arrangement according to an embodiment of the present invention.
3 is a diagram for explaining a malocclusion determining unit of a system for providing orthodontic treatment evaluation information based on a patient's tooth arrangement according to an embodiment of the present invention.
4 is another block diagram illustrating a target value acquisition unit of the system for providing orthodontic treatment evaluation information based on a patient's teeth arrangement according to an embodiment of the present invention.
5 is a block diagram illustrating an evaluation information providing unit of an orthodontic treatment evaluation information providing system based on a patient's tooth arrangement according to an embodiment of the present invention.
6 is a diagram for explaining an interface of a system for providing orthodontic treatment evaluation information based on a patient's tooth arrangement according to an embodiment of the present invention.
7 is a diagram for explaining an example of an internal configuration of a computing device according to an embodiment of the present invention.

In the following, various embodiments and/or aspects are disclosed with reference now to the drawings. In the following description, for purposes of explanation, numerous specific details are set forth in order to facilitate a general understanding of one or more aspects. However, it will also be appreciated by those skilled in the art that such aspect(s) may be practiced without these specific details. The following description and accompanying drawings describe in detail certain illustrative aspects of one or more aspects. However, these aspects are exemplary and some of the various methods in principle of the various aspects may be used, and the described descriptions are intended to include all such aspects and their equivalents.

References to “embodiment,” “example,” “aspect,” “example,” etc., used in this specification should not be construed as indicating that any aspect or design described is preferable to or advantageous over other aspects or designs. .

Also, the terms "comprises" and/or "comprising" mean that the feature and/or element is present, but excludes the presence or addition of one or more other features, elements and/or groups thereof. It should be understood that it does not.

In addition, terms including ordinal numbers such as first and second may be used to describe various components, but the components are not limited by the terms. These terms are only used for the purpose of distinguishing one component from another. For example, a first element may be termed a second element, and similarly, a second element may be termed a first element, without departing from the scope of the present invention. The terms and/or include any combination of a plurality of related recited items or any of a plurality of related recited items.

In addition, in the embodiments of the present invention, unless otherwise defined, all terms used herein, including technical or scientific terms, are those commonly understood by those of ordinary skill in the art to which the present invention belongs. have the same meaning. Terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with the meaning in the context of the related art, and unless explicitly defined in the embodiments of the present invention, an ideal or excessively formal meaning not be interpreted as

1 is a block diagram illustrating a system for providing orthodontic treatment evaluation information based on a patient's tooth arrangement according to an embodiment of the present invention.

Referring to FIG. 1 , a system 100 for providing orthodontic treatment evaluation information based on a patient's tooth arrangement implemented as a computing device including one or more processors and one or more memories storing commands executable by the processors (hereinafter referred to as orthodontic treatment) Referred to as a treatment evaluation information providing system) may include a target value acquisition unit 101 , a second tooth image acquisition unit 103 and an evaluation information providing unit 105 .

According to an embodiment, the target value acquisition unit 101 may receive first tooth portion scan data 101a, which is three-dimensional scan data obtained by photographing a patient, from a medical practitioner account. The first tooth portion scan data 101a may be a radiographic image obtained by photographing a patient. For example, the first tooth portion scan data 101a may be image data obtained by photographing the patient's head. In this case, the acquired image data may be data including images of the patient's head and tooth arrangement. In addition, the first tooth portion scan data 101a may be image data obtained by photographing only the patient's tooth portion, that is, the patient's tooth arrangement.

According to an embodiment, the target value obtaining unit 101 may obtain a first tooth image, which is a malocclusion image of the patient's teeth, based on the received first tooth portion scan data 101a. The first tooth image is an image of a patient's tooth arrangement before orthodontic treatment acquired based on the first tooth portion scan data 101a, and may be a first image including an image of the patient's malocclusion. .

According to an embodiment, the target value acquisition unit 101 may obtain treatment solution information based on the obtained first tooth image. The treatment solution information may be treatment information for correcting malocclusion of the patient based on the first tooth image. A detailed description of obtaining the treatment solution information will be described with reference to FIG. 2 .

According to an embodiment, when the acquisition of the treatment solution information is completed, the target value acquisition unit 101 may acquire a correction target value for correcting the patient's malocclusion based on the acquired treatment solution information. there is. At this time, the target value acquisition unit 101 is configured to correct the patient's malocclusion included in the first tooth image to a normal tooth arrangement, based on the treatment solution information, the patient's value corresponding to the first tooth image. Correction target direction information and correction target distance information for each tooth may be obtained, and a correction target value may be obtained based on the obtained correction target direction information and correction target distance information. A detailed description of obtaining the calibration target value will be described with reference to FIG. 4 .

According to an embodiment, the second tooth image acquisition unit 103 photographs a patient whose orthodontic treatment has been completed by a transparent aligner in a state in which the target value acquisition unit 101 has completed acquisition of the target value for correction. Second tooth portion scan data, which is new 3D scan data obtained by doing so, may be obtained. The second tooth portion scan data may be a radiographic image obtained by photographing the patient at the point in time when orthodontic treatment for the patient's malocclusion is completed.

According to an embodiment, the second tooth image acquisition unit 103 is an image of a corrected tooth arrangement based on the second tooth scan data when receiving the second tooth scan data is completed. Two tooth images 103a may be acquired. The second tooth image may be an image of an arrangement of teeth of a patient for whom orthodontic treatment has been completed by using a transparent orthodontic device.

According to an embodiment, the evaluation information providing unit 105, when the acquisition of the second tooth image 103a is completed, based on the second tooth image, to obtain a correction achievement value for each corrected tooth can The correction achievement value may be information generated based on correction distance achievement information and correction direction achievement information for each tooth substantially corrected by the transparent aligner.

According to an embodiment, when the acquisition of the calibration achievement value is completed, the evaluation information providing unit 105 compares the calibration achievement value with the calibration target value, and the error of the calibration achievement value with respect to the calibration target value. information can be obtained. The error information may be information generated according to whether the calibration achievement value satisfies the calibration target value. The evaluation information providing unit 105 may generate orthodontic treatment evaluation information, which is evaluation information for orthodontic treatment, based on the error information, and provide the generated orthodontic treatment evaluation information to a medical practitioner account. The orthodontic treatment evaluation information is information generated based on the error information, and may be information for determining whether the patient's orthodontic treatment is insufficient or effective.

2 is a block diagram illustrating a target value obtaining unit of a system for providing orthodontic treatment evaluation information based on a patient's teeth arrangement according to an embodiment of the present invention.

Referring to FIG. 2 , a system for providing orthodontic treatment evaluation information based on a patient's tooth arrangement implemented as a computing device including one or more processors and one or more memories storing commands executable by the processors (e.g., the patient of FIG. 1). The orthodontic treatment evaluation information providing system 100 based on the tooth arrangement state (hereinafter, referred to as the orthodontic treatment evaluation information providing system) is a target value acquisition unit 200 (eg, the target value acquisition unit 101 of FIG. 1) can include

According to an embodiment, the target value acquisition unit 200 may include a malocclusion check start unit 201 , a malocclusion determination unit 203 and a solution acquisition unit 205 .

According to an embodiment, the malocclusion confirmation start unit 201 may start a malocclusion confirmation process when receiving first tooth scan data, which is 3D scan data obtained by photographing a patient, from a medical personnel account. The malocclusion confirmation process is a process for determining the patient's malocclusion by checking the patient's tooth arrangement through the first tooth image, classifying which malocclusion information the patient's tooth arrangement is among a plurality of malocclusion information, and determining the patient's malocclusion. can be

According to an embodiment, the malocclusion determination unit 203 may determine the shape and position of each tooth included in the first tooth image through the pre-stored algorithm to check the arrangement of the patient's teeth. The malocclusion determination unit 203 may classify the patient's tooth arrangement as one of a plurality of malocclusion information based on the confirmed tooth arrangement state. More precisely, when the malocclusion determination unit 203 analyzes the first tooth image through the pre-stored algorithm to check the patient's tooth arrangement state, the tooth arrangement state information corresponding to the confirmed tooth arrangement state is received in plurality. It can be classified as one of the dog malocclusion information.

According to one embodiment, the stored algorithm may be a machine learning-based algorithm that analyzes the first tooth image and determines the shape and position of each tooth included in the first tooth image. For example, the pre-stored algorithm may be a PointNet-based deep learning algorithm. The malocclusion determining unit 203 learns previously obtained or input tooth images through the PointNet-based deep learning algorithm, thereby determining each tooth included in the tooth image (e.g., the first tooth, the second tooth, etc.) By determining the shape and location, it is possible to check the arrangement of the patient's teeth. In addition, the position of the mandibular condyle of the patient, the arrangement (shape and position) of the teeth, the relationship between the maxilla and mandible, and the position and inclination of the maxillary and mandibular complex with respect to the cranium through the first tooth image through the pre-stored algorithm It may be an algorithm that checks .

That is, the pre-stored algorithm judges the patient's tooth arrangement through a newly input tooth image by machine learning not only the PointNet-based deep learning algorithm but also the previously acquired or input tooth image, and the patient's negative If it is a machine learning-based algorithm capable of confirming the type of occlusion, it is not limited thereto.

For another example, the pre-stored algorithm may be an automatic or standardized algorithm. In the automatic recognition standardization algorithm, the malocclusion determination unit 203 determines the shape and position of each patient's teeth included in the first tooth image, and sets the tooth arrangement state information obtained as one of a plurality of malocclusion information. It may be a machine learning-based algorithm for classifying as malocclusion information.

According to an embodiment, the malocclusion determination unit 203 analyzes the first tooth image through the pre-stored algorithm and, when confirming the patient's tooth arrangement, includes it in the first tooth image through the pre-stored algorithm. At least one of a position of each tooth of the patient, a contact relationship between adjacent teeth, a vertical relationship, rotation, and inclination may be checked. When the confirmation of the patient's tooth arrangement is completed, the malocclusion determination unit 203 may obtain tooth arrangement state information corresponding to the confirmed tooth arrangement through the pre-stored algorithm. That is, the tooth arrangement state information may include position information for each patient's teeth, contact relationship information with adjacent teeth, vertical relationship information with adjacent teeth, rotation information, and tilt information based on the first tooth image. there is. A detailed method of classifying the tooth arrangement state information as one of a plurality of malocclusion information will be described with reference to FIG. 3 .

According to an embodiment, when the malocclusion determination unit 203 classifies the tooth state information as one of a plurality of malocclusion information, the malocclusion corresponding to the classified malocclusion information is determined by the patient's tooth arrangement. It can be judged as malocclusion.

According to one embodiment, the solution obtaining unit 205 creates a machine learning-based artificial intelligence solution that derives a solution for orthodontic treatment when the malocclusion judgment of the patient is completed by the malocclusion determining unit 203 Treatment solution information on the patient's malocclusion can be acquired through the algorithm. Since the artificial intelligence solution generation algorithm learns various data (images of teeth of other patients and history data obtained during orthodontic treatment of other patients), it is possible to derive information on the cause of the error rate based on the result information.

According to one embodiment, in the artificial intelligence solution generation algorithm, the solution acquisition unit 205 receives data for orthodontics from other electronic devices (eg, desktop, tablet PC and medical devices) or a medical person account, It may be an algorithm for presenting visualized treatment objectives (VTO) and an optimal treatment plan for the patient's tooth arrangement by machine learning on the received data.

According to one embodiment, when receiving tooth image data of another patient, the solution acquisition unit 205 performs machine learning on the received data as learning data to obtain a stabilized position of the mandibular condyle and a tooth having an appropriate angle. It is possible to obtain information on VTO (visualized treatment objectives) and optimal treatment plan for the patient's tooth arrangement by considering the alignment, relationship between the maxilla and mandible, and the position and tilt of the maxillary and mandibular complex relative to the cranium. there is.

That is, the treatment solution information may be information including at least one of VTO and treatment plan information generated by the artificial intelligence solution generation algorithm. Accordingly, it is natural that the VTO and the treatment plan information include treatment method information, treatment period information, treatment drug information, and the like necessary for correcting the patient's tooth arrangement.

3 is a diagram for explaining a malocclusion determining unit of a system for providing orthodontic treatment evaluation information based on a patient's tooth arrangement according to an embodiment of the present invention.

Referring to FIG. 3 , the malocclusion determining unit 301 (eg, the malocclusion determining unit 203 of FIG. 2 ) starts the malocclusion checking process, through the received first tooth image 301a, of the patient's teeth. You can check the alignment of your teeth.

According to an embodiment, the malocclusion determination unit 301 determines the shape and position of each tooth included in the first tooth image 301a through the pre-stored algorithm to determine the arrangement state of the patient's teeth. can For a detailed description of how the malocclusion determination unit 301 checks the patient's tooth arrangement through a pre-stored algorithm, refer to FIG. 2 .

According to an embodiment, the malocclusion determining unit 301 may classify the patient's tooth arrangement as one of a plurality of malocclusion information based on the confirmed tooth arrangement state. At this time, the malocclusion determination unit 301 may check the patient's tooth arrangement and classify the patient's tooth arrangement into one of a plurality of malocclusion information based on the obtained tooth arrangement state information. The plurality of malocclusion type information includes crowding malocclusion information, spacing malocclusion information, rotation malocclusion information, openbite & deepbite malocclusion information, and mesial distal tipping malocclusion information. , may include at least one of buccal-lingual torque malocclusion information and fitting malocclusion information.

According to an embodiment, when acquiring the first tooth image, the malocclusion determining unit 301 analyzes the first tooth image through a pre-stored algorithm (eg, an automatic recognition standardization algorithm), and arranges the patient's teeth. Tooth arrangement state information corresponding to the state may be acquired. The tooth arrangement state information may include not only the shape and position of each tooth of the patient, but also information on the position of the patient's mandibular condyle, the relationship between the upper and lower jaw bones, and the position and inclination information of the upper and lower jaw complex with respect to the cranium. there is.

For example, when obtaining the tooth arrangement state information, the malocclusion determination unit 301 may start a determination process 303 of classifying the tooth arrangement state information into one of a plurality of malocclusion information. The malocclusion determining unit 301 may confirm that the 13th tooth of the patient is in a rotated state based on the tooth arrangement state information. The malocclusion determination unit 301 may perform the process included in 303a when the 13th tooth is in a rotated state. In addition, the malocclusion determination unit 301 may perform the process included in 303b when it is confirmed that the patient's teeth are not in a rotated state based on the tooth arrangement state information. The determination process 303 may be a different process for each of a plurality of malocclusion types.

4 is another block diagram illustrating a target value acquisition unit of the system for providing orthodontic treatment evaluation information based on a patient's teeth arrangement according to an embodiment of the present invention.

Referring to FIG. 4 , a system for providing orthodontic treatment evaluation information based on a patient's tooth arrangement implemented as a computing device including one or more processors and one or more memories storing commands executable by the processor (e.g., the patient of FIG. 1). The orthodontic treatment evaluation information providing system 100 based on the tooth arrangement state (hereinafter referred to as the orthodontic treatment evaluation information providing system) is a target value acquisition unit 400 (eg, the target value acquisition unit 101 of FIG. 1) can include

According to an embodiment, the target value acquisition unit 400 may include a guide application unit 401 , a virtual calibration image acquisition unit 403 and a calibration value acquisition unit 405 .

According to an embodiment, the target value acquisition unit 400 generates a solution generation algorithm when the treatment solution information 401a is acquired by the solution acquisition unit (eg, the solution acquisition unit 205 of FIG. 2 ). Through this, a correction guide based on the treatment solution information 401a may be applied to the patient's first tooth image 401b. For a detailed description of the solution generation algorithm, refer to FIG. 2 . The correction guide is information applied to the first tooth image 401b representing the patient's initial tooth arrangement, and the patient's malocclusion based on the first tooth image 401b is optimal based on the treatment solution information 401a. It may be vector information for each tooth to be arranged in a tooth arrangement in the form of corrected teeth.

According to an embodiment, the virtual correction image acquisition unit 403 applies the correction guide based on the treatment solution information 401a to the first tooth image 401b, so that each of the patient's teeth is corrected in a dental state. By virtual arranging with , it is possible to obtain a virtual correction image 403a, which is a virtual image corresponding to the corrected tooth arrangement.

According to an embodiment, the virtual correction image acquisition unit 403 changes the vector information of each tooth included in the first tooth image 401b based on the vector information of each tooth based on the correction guide, Based on the treatment solution information 401a, the virtual correction image 403a corresponding to the alignment of teeth in a corrected state of the patient may be acquired.

According to an embodiment, when the acquisition of the virtual correction image 403a is completed, the correction value acquisition unit 405 may compare the virtual correction image 403a with the first tooth image 401b. More precisely, the correction value acquisition unit 405 compares the vector information for each tooth included in the virtual correction image 403a with the vector information for each tooth included in the first tooth image 401b, Correction target direction information and correction target distance information for each tooth may be acquired. The correction target direction information may be information about a direction in which the teeth in the malocclusion state are moved to be corrected into an arrangement in a corrected state. The correction target distance information may be information about a distance that the malocclusion teeth are moved to be corrected into an alignment in a corrected state.

According to an embodiment, the calibration value acquisition unit 405 may obtain a calibration target value by calculating the calibration target direction information and the calibration target distance information based on a specified formula. The designated formula may be different for each company or institution that operates the present invention. The correction target value may be a value representing a degree to which malocclusion teeth should be moved as they are corrected into a corrected arrangement. That is, the correction target value may be a target value to be moved to form each tooth based on the first tooth image into a corrected arrangement.

5 is a block diagram illustrating an evaluation information providing unit of an orthodontic treatment evaluation information providing system based on a patient's tooth arrangement according to an embodiment of the present invention.

Referring to FIG. 5 , a system for providing orthodontic treatment evaluation information based on a patient's tooth arrangement implemented as a computing device including one or more processors and one or more memories storing instructions executable by the processor (e.g., the patient of FIG. 1). The orthodontic treatment evaluation information providing system 100 based on the tooth arrangement (hereinafter, referred to as the orthodontic treatment evaluation information providing system) is an evaluation information providing unit 500 (eg, the evaluation information providing unit 105 of FIG. 1) can include

According to an embodiment, the evaluation information providing unit 500 may include an achievement value obtaining unit 501 , an error value checking unit 503 and an error information analyzing unit 505 .

According to one embodiment, the achievement value acquisition unit 501 is completed when the acquisition of the second tooth image is completed through the second tooth image acquisition unit (eg, the second tooth image acquisition unit 103 of FIG. 1). The correction achievement value 501b for each corrected tooth of the patient may be obtained by analyzing the second tooth image through a pre-stored algorithm. For a detailed description of the pre-stored algorithm, refer to FIG. 2 .

According to an embodiment, when the acquisition of the second tooth image for the patient's tooth arrangement for which orthodontic treatment has been completed by the transparent orthodontic device is completed, the achievement value acquisition unit 501 obtains the second tooth image through a pre-stored algorithm. Based on this, it is possible to check the patient's tooth arrangement status. The achievement value obtaining unit 501 may acquire the correction achievement value 501b for each of the teeth by checking the arrangement of the patient's teeth based on the second tooth image. The correction achievement value 501b is information including correction achievement direction information and correction achievement distance information, and may be vector information for each tooth. The calibration achievement value 501b may be a value obtained by calculating the calibration achievement direction information and the calibration achievement distance information using a designated formula.

According to an embodiment, when the acquisition of the calibration achievement value 501b is completed, the error value checking unit 503 determines the calibration target value 501c (eg, the calibration target value of FIG. 4 ) and the calibration achievement value ( 501b) can be compared. For a detailed description of the calibration target value 501c, refer to FIG. 4 . The error value checking unit 503 compares the calibration target value 501c and the calibration achieved value 501b to obtain an error value 501d of the calibration achieved value 501b with respect to the calibration target value 501c. can be obtained. The error value checking unit 503 may determine whether the obtained error value 501d is included in a designated error value range 501e.

Configuration 501 disclosed in FIG. 5 may be a record table stored by the error value checking unit 503 . For example, the error value checking unit 503 may compare the correction achievement value for the 13th tooth acquired by the achievement value acquisition unit 501 with the calibration target value for the 13th tooth. The error value checking unit 503 may obtain an error value of 207.88 by comparing the correction achieved value of 11391.16 for the 13th tooth with the correction target value of 12252.27 for the 13th tooth. At this time, the error value checking unit 503 may determine whether the obtained error value is included in a designated error value range. The designated error value may be different for each tooth and for each type of malocclusion.

According to an embodiment, the error information analyzer 505 may generate error information based on a result determined by performing a function of the error value checker 503 . The error information may be information about whether an error value for each tooth is equal to or less than a specified error value. That is, the error information may include all information on a correction achievement value, a correction target value, an error value, and a designated error value for each tooth.

According to an embodiment, the error information analysis unit 505 may generate corrective treatment evaluation information by analyzing the generated error information through an artificial intelligence solution generation algorithm. For a detailed description of the artificial intelligence solution generating algorithm, refer to FIG. 2 . The error information analysis unit 505 may analyze the error information through the artificial intelligence solution generation algorithm. More precisely, based on the error information, the error information analysis unit 505 may confirm that the correction treatment for malocclusion has failed when it is confirmed that the error value is not included in the designated error value. Also, based on the error information, the error information analysis unit 505 may confirm that corrective treatment for malocclusion is successful when it is confirmed that the error value is included in the designated error value.

According to an embodiment, the error information analysis unit 505 may determine whether or not orthodontic treatment for each tooth of the patient is successful based on the error information, and generate orthodontic treatment evaluation information based on the confirmation result. there is.

According to an embodiment, when the error information analysis unit 505 confirms that the error value is not included in the designated error value based on the error information, it is notified that orthodontic treatment for malocclusion was not properly performed. Orthodontic treatment evaluation information can be generated. At this time, the error information analysis unit 505 derives cause information for which the error value is not included in the designated error value range through the artificial intelligence solution generation algorithm, and correction improvement information for resolving the cause based on the cause information. can create The correction improvement information is information generated through the artificial intelligence solution generation algorithm, and may be exemplary treatment information derived based on orthodontic treatment history information of other patients learned through the artificial intelligence solution generation algorithm. That is, the error information analysis unit 505 may use the exemplary treatment information to present a correction guide for the tooth for which correction has failed.

According to an embodiment, the error information analyzer 505 evaluates orthodontic treatment notifying that corrective treatment for malocclusion has been properly performed when it is confirmed that the error value is included in the designated error value based on the error information. information can be generated. At this time, the error information analysis unit 505 may derive complementary point information for each corrected tooth through the artificial intelligence solution generating algorithm. For example, the complementary point information may include information about a recommended mounting period of the transparent orthodontic appliance or information about attention points in order for each tooth to completely settle into a correction position.

According to an embodiment, the error information analysis unit 505 may check an error value based on the error information, and determine which range among designated error value ranges the checked error value is included in. The designated error value range may include at least two or more state ranges. For example, the specified error value range may include an excellent range, a good range, and an additional treatment recommended range. When it is confirmed that the error value is included in the good range, the error information analysis unit 505 may generate orthodontic treatment evaluation information notifying that orthodontic treatment for malocclusion is effectively progressed. For another example, when the error information analysis unit 505 confirms that the error value is included in the recommended treatment range, it is determined that an insufficient portion has occurred even though orthodontic treatment for malocclusion has been performed based on treatment solution information. can do. Accordingly, when generating the orthodontic treatment evaluation information, the error information analysis unit 505 analyzes an insufficient point through the artificial intelligence solution generation algorithm, obtains treatment supplementary information for supplementing the insufficient point, and evaluates the orthodontic treatment. information can be included.

6 is a diagram for explaining an interface of a system for providing orthodontic treatment evaluation information based on a patient's tooth arrangement according to an embodiment of the present invention.

Referring to FIG. 6 , a system for providing orthodontic treatment evaluation information based on a patient's tooth arrangement implemented as a computing device including one or more processors and one or more memories storing commands executable by the processors (e.g., the patient of FIG. 1). The orthodontic treatment evaluation information providing system 100 based on the tooth arrangement state (hereinafter referred to as the orthodontic treatment evaluation information providing system) may include an evaluation information providing unit (eg, the evaluation information providing unit 105 of FIG. 1 ). can

According to an embodiment, the evaluation information providing unit may include a correction device design generation unit (not shown) and a correction device design providing unit).

According to an embodiment, when the evaluation information providing unit provides orthodontic treatment evaluation information including exemplary treatment information to a medical practitioner account, the orthodontic device pattern generating unit is designed design information of a transparent orthodontic device based on the exemplary treatment information. A first design drawing may be generated.

According to an embodiment, the orthodontic appliance design generation unit may generate a first design design, which is design design information about an arrangement of the teeth of a patient who has been corrected, based on the exemplary treatment information. At this time, the generated first design design is corrected with a transparent orthodontic device (eg, a first transparent orthodontic device) for the patient's initial tooth arrangement, and then a new transparent orthodontic device ( Example: It may be design information for manufacturing a second transparent aligner).

According to an embodiment, when the generation of the first design design is completed, the orthodontic device design providing unit obtains second design design information, which is a design design of a transparent orthodontic device based on a calibration target value, to obtain the first design design and An interface 600 capable of comparing the second design drawing may be provided to the medical care provider account. That is, the orthodontic device design providing unit provides an interface 600 for visually confirming the first transparent orthodontic device 601 based on the second design design and the second transparent orthodontic device 603 based on the first design design. It can be provided to medical personnel accounts.

According to an embodiment, while the evaluation information providing unit provides images of the first transparent aligning device and the second transparent aligning device to the medical personnel account through the interface 600, the second transparent aligning device is provided from the medical personnel account. When the doctor's opinion information for changing the design of the transparent orthodontic device is received, the first design design may be modified based on the input doctor's opinion information. The doctor's opinion information may be design correction information for correcting the first design design. That is, the user of the medical personnel account checks the patient's tooth arrangement and, if design changes are additionally required, the doctor's opinion information can be input to the interface to change the design based on the first design plan. .

605 of FIG. 6 is a menu for modifying the first design drawing, and may be one of the functions included in the interface 600. The user of the medical person's account can magnify the image of each tooth in detail through the above configuration 605 . When the evaluation information providing unit receives doctor's opinion information, which is input information for correcting the enlarged tooth, from the medical person's account in a state in which the image of the tooth is enlarged in detail, based on the received doctor's opinion information, The position and shape of teeth can be modified. In this case, the tooth included in the image may be a 3D modeling image, and the 3D modeling image may be an image obtainable when analyzing a tooth image through a pre-stored algorithm.

7 is a diagram for explaining an example of an internal configuration of a computing device according to an embodiment of the present invention.

7 illustrates an example of an internal configuration of a computing device according to an embodiment of the present invention, and in the following description, descriptions of unnecessary embodiments overlapping with those of FIGS. 1 to 6 will be omitted. do it with

As shown in FIG. 7, a computing device 10000 includes at least one processor 11100, a memory 11200, a peripheral interface 11300, an input/output subsystem ( It may include at least an I/O subsystem (11400), a power circuit (11500), and a communication circuit (11600). In this case, the computing device 10000 may correspond to a user terminal connected to the tactile interface device (A) or the aforementioned computing device (B).

The memory 11200 may include, for example, high-speed random access memory, magnetic disk, SRAM, DRAM, ROM, flash memory, or non-volatile memory. there is. The memory 11200 may include a software module, a command set, or other various data necessary for the operation of the computing device 10000.

In this case, access to the memory 11200 from other components, such as the processor 11100 or the peripheral device interface 11300, may be controlled by the processor 11100.

Peripheral interface 11300 may couple input and/or output peripherals of computing device 10000 to processor 11100 and memory 11200 . The processor 11100 may execute various functions for the computing device 10000 and process data by executing software modules or command sets stored in the memory 11200 .

Input/output subsystem 11400 can couple various input/output peripherals to peripheral interface 11300. For example, the input/output subsystem 11400 may include a controller for coupling a peripheral device such as a monitor, keyboard, mouse, printer, or touch screen or sensor to the peripheral interface 11300 as needed. According to another aspect, input/output peripherals may be coupled to the peripheral interface 11300 without going through the input/output subsystem 11400.

The power circuit 11500 may supply power to all or some of the terminal's components. For example, power circuit 11500 may include a power management system, one or more power sources such as a battery or alternating current (AC), a charging system, a power failure detection circuit, a power converter or inverter, a power status indicator or power It may contain any other components for creation, management and distribution.

The communication circuit 11600 may enable communication with another computing device using at least one external port.

Alternatively, as described above, the communication circuit 11600 may include an RF circuit and transmit/receive an RF signal, also known as an electromagnetic signal, to enable communication with another computing device.

The embodiment of FIG. 7 is only an example of the computing device 10000, and the computing device 11000 may omit some of the components shown in FIG. 7, further include additional components not shown in FIG. It may have a configuration or arrangement combining two or more components. For example, a computing device for a communication terminal in a mobile environment may further include a touch screen or a sensor in addition to the components shown in FIG. , Bluetooth, NFC, Zigbee, etc.) may include a circuit for RF communication. Components that may be included in the computing device 10000 may be implemented as hardware including one or more signal processing or application-specific integrated circuits, software, or a combination of both hardware and software.

Methods according to embodiments of the present invention may be implemented in the form of program instructions that can be executed through various computing devices and recorded in computer readable media. In particular, the program according to the present embodiment may be configured as a PC-based program or a mobile terminal-only application. An application to which the present invention is applied may be installed in a user terminal through a file provided by a file distribution system. For example, the file distribution system may include a file transmission unit (not shown) that transmits the file according to a request of a user terminal.

The device described above may be implemented as a hardware component, a software component, and/or a combination of hardware components and software components. For example, devices and components described in the embodiments may include, for example, a processor, a controller, an arithmetic logic unit (ALU), a digital signal processor, a microcomputer, a field programmable gate array (FPGA), It may be implemented using one or more general purpose or special purpose computers, such as a programmable logic unit (PLU), microprocessor, or any other device capable of executing and responding to instructions. A processing device may run an operating system (OS) and one or more software applications running on the operating system. A processing device may also access, store, manipulate, process, and generate data in response to execution of software. For convenience of understanding, there are cases in which one processing device is used, but those skilled in the art will understand that the processing device includes a plurality of processing elements and/or a plurality of types of processing elements. It can be seen that it can include. For example, a processing device may include a plurality of processors or a processor and a controller. Other processing configurations are also possible, such as parallel processors.

Software may include a computer program, code, instructions, or a combination of one or more of the foregoing, which configures a processing device to operate as desired or processes independently or collectively. The device can be commanded. Software and/or data may be any tangible machine, component, physical device, virtual equipment, computer storage medium or device, intended to be interpreted by or to provide instructions or data to a processing device. may be permanently or temporarily embodied in Software may be distributed on networked computing devices and stored or executed in a distributed manner. Software and data may be stored on one or more computer readable media.

The method according to the embodiment may be implemented in the form of program instructions that can be executed through various computer means and recorded on a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the medium may be specially designed and configured for the embodiment, or may be known and usable to those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks and magnetic tapes, optical media such as CD-ROMs and DVDs, and magnetic media such as floptical disks. - includes hardware devices specially configured to store and execute program instructions, such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, as well as machine language codes such as those produced by a compiler. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the embodiments, and vice versa.

As described above, although the embodiments have been described with limited examples and drawings, those skilled in the art can make various modifications and variations from the above description. For example, the described techniques may be performed in an order different from the method described, and/or components of the described system, structure, device, circuit, etc. may be combined or combined in a different form than the method described, or other components may be used. Or even if it is replaced or substituted by equivalents, appropriate results can be achieved. Therefore, other implementations, other embodiments, and equivalents of the claims are within the scope of the following claims.

Claims (8)

A system for providing orthodontic treatment evaluation information based on a patient's tooth arrangement implemented as a computing device including one or more processors and one or more memories storing instructions executable by the processor,
When first tooth scan data, which is 3D scan data acquired by photographing a patient, is received from a medical practitioner account, the first tooth, which is a malocclusion image of the patient's teeth, is based on the received first tooth scan data. Acquiring an image, obtaining treatment solution information based on the obtained first tooth image, and obtaining a target value for obtaining a correction target value for correcting the patient's malocclusion based on the obtained treatment solution information wealth;
When the second tooth scan data, which is new 3D scan data acquired by photographing a patient whose orthodontic treatment has been completed by using a transparent aligner, is received in a state in which the correction target value has been obtained, the second tooth scan data Based on the, a second tooth image acquisition unit for acquiring a second tooth image that is an image of the corrected tooth arrangement; and
When a correction achievement value for each corrected tooth is obtained based on the obtained second tooth image, and error information is obtained by comparing the correction achievement value and the correction target value, based on the obtained error information An orthodontic treatment evaluation information providing system based on a patient's tooth arrangement, comprising: an evaluation information providing unit generating orthodontic treatment evaluation information, which is evaluation information for orthodontic treatment, and providing the generated orthodontic treatment evaluation information to the medical personnel account.
According to claim 1,
The target value obtaining unit,
a malocclusion check start unit that starts a malocclusion check process when receiving the first tooth portion scan data from the medical personnel account;
When the malocclusion checking process starts, the first tooth image is analyzed through a pre-stored algorithm, the patient's tooth arrangement is confirmed through the analyzed first tooth image, and the confirmed tooth arrangement is set to a plurality of negative teeth. a malocclusion determining unit for classifying one of the occlusion information and determining malocclusion of the patient; and
When the determination of the patient's malocclusion is completed, a solution acquisition unit for obtaining treatment solution information for the patient's malocclusion through a machine learning-based artificial intelligence solution generation algorithm that derives a solution for orthodontic treatment; A system for providing orthodontic treatment evaluation information based on the patient's teeth arrangement.
According to claim 2,
The malocclusion determination unit,
When confirming the arrangement of the patient's teeth, at least one of the position of each patient's teeth included in the first tooth image, the contact relationship of adjacent teeth, the vertical relationship, rotation, and inclination is checked through the pre-stored algorithm. A system for providing orthodontic treatment evaluation information based on the patient's tooth arrangement status.
According to claim 2,
The target value obtaining unit,
a guide application unit for applying a correction guide based on the treatment solution information to the first tooth image through the solution generation algorithm when the acquisition of the treatment solution information is completed by the solution acquisition unit;
As the correction guide based on the treatment solution information is applied to the first tooth image, each patient's teeth are arranged in a state of corrected teeth, thereby obtaining a virtual correction image corresponding to the corrected tooth arrangement. a calibration image acquisition unit; and
When the acquisition of the virtual correction image is completed, the correction target direction information and correction target distance information for each tooth are obtained by comparing the virtual correction image with the first tooth image, and the reference value for correcting the patient's malocclusion is the An orthodontic treatment evaluation information providing system based on a patient's tooth arrangement, comprising: a correction value acquisition unit that obtains a correction target value.
According to claim 4,
The evaluation information providing unit,
When the second tooth image is acquired through the second tooth image acquisition unit, the achievement value for obtaining the correction achievement value for each corrected tooth of the patient by analyzing the second tooth image through the pre-stored algorithm acquisition unit;
When the acquisition of the calibration achievement value is completed, an error value of the calibration achievement value with respect to the calibration target value is obtained by comparing the calibration target value and the calibration achievement value, and the obtained error value is within a designated error value range. an error value confirmation unit that determines whether it is included in; and
Error information analysis that generates error information based on a result determined by performing the function of the error value checker, analyzes the generated error information through the artificial intelligence solution generation algorithm, and generates the orthodontic treatment evaluation information. Orthodontic treatment evaluation information providing system based on the patient's teeth arrangement state comprising a;
According to claim 5,
The orthodontic treatment evaluation information,
Based on the error information, information for determining whether or not the orthodontic treatment for each patient's tooth was successful, but if the orthodontic treatment for each patient's tooth based on the error information is confirmed to have failed, each tooth for which the orthodontic treatment failed Including correction improvement information for correcting,
The correction improvement information,
Information generated through the artificial intelligence solution generation algorithm, based on the patient's tooth arrangement, characterized in that it is exemplary treatment information derived based on the orthodontic treatment history information of other patients learned through the artificial intelligence solution generation algorithm Orthodontic treatment evaluation information provision system.
According to claim 6,
The evaluation information providing unit,
an orthodontic device design generating unit configured to generate a first design design that is design design information of the transparent orthodontic appliance based on the model treatment information when providing the orthodontic treatment evaluation information including the model treatment information to the medical practitioner account; and
When the generation of the first design design is completed, second design design information, which is design design information of a transparent correction device based on the calibration target value, is obtained, and an interface capable of comparing the first design design and the second design design is provided. An orthodontic treatment evaluation information providing system based on a patient's teeth arrangement, characterized in that it comprises a; orthodontic device design provision unit provided to the medical personnel account.
According to claim 7,
The interface is
Based on the patient's tooth arrangement state, characterized in that the first design design is modified based on the input doctor's opinion information when the doctor's opinion information for design change of the transparent orthodontic appliance is received from the medical person account Orthodontic treatment evaluation information provision system.

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