KR20230030326A - Method for displaying prosthesis, device and recording medium thereof - Google Patents

Abstract

According to an embodiment, disclosed is a method in which a planned position of a fixture according to a surgical plan is compared with an implanted position of a fixture implanted after surgery, to provide error information on whether an operator obtains a result as planned for the surgery, and user convenience, when an error of fixture implantation occurs, can be improved by suggesting a recommended specification of a prosthesis using the error.

Description

Method for displaying prosthesis, device and recording medium thereof

The present disclosure relates to a method for displaying a prosthesis, a device, and a recording medium thereof. Specifically, the present disclosure relates to a technique for determining whether or not a fixture is properly placed in a patient's oral cavity according to a surgical plan, and updating and providing specifications of a prosthesis determined before surgery when an error in fixture placement occurs.

Conventionally, for implant surgery, the operator establishes an implant surgery plan, such as the position to place the fixture according to the patient's surgical case, using the patient's CT data, and after the surgery, the operator visually By checking, it was confirmed that the operation was successful.

Since this conventional technology is a method in which the user visually confirms using images, it is difficult to precisely compare the surgical plan established by the user and the actual surgical result, and accurate error information based on numerical values cannot be obtained. There is a limit to quantitative comparison of how much error there is based on the intended position.

In addition, when the surgical result differs from what the user intended, the user has the inconvenience of having to completely redesign the implant type or design that has already been determined before the surgery.

Accordingly, a technique for solving the above problems is required.

An embodiment of the present disclosure is to solve the above-described problems of the prior art, and includes a technical problem of easily providing a comparison result regarding whether a fixture is well placed in a position planned by a user before and after surgery. In addition, it includes a technical task to improve user convenience by presenting an appropriate countermeasure when a surgical error occurs before and after surgery.

The technical problem to be solved is not limited to the technical problems as described above, and various technical problems may be further included within a range obvious to those skilled in the art.

A method of displaying a prosthesis according to a first aspect of the present disclosure includes determining, by a processor, expected specifications for one or more prostheses determined according to a surgical plan; determining, by the processor, a planned position of a fixture according to the surgical plan; determining, by the processor, the placement position of the implanted fixture after surgery; obtaining, by the processor, error information according to a comparison result between the planned location and the placement location; and determining, by the processor, a recommended specification by updating the expected specification according to the error information, and displaying a prosthesis according to the determined recommended specification on a display.

In addition, the prosthesis may include at least one of an abutment and a crown.

Also, the displaying of the prosthesis according to the recommended specifications may include determining an error height indicating a height difference between the implantation position and the planned position based on the error information; and determining the recommended specification by updating a gingival height of the abutment to correspond to the error height.

Also, the displaying of the prosthesis according to the recommended specifications may include determining an error gradient according to a difference between the implantation position and the planned position based on the error information; and determining the recommended specification by updating the shape of the crown to correspond to the error slope.

The method may further include overlapping and displaying a first prosthetic image according to the expected specification and the planned position and a second prosthetic image according to the placement position and the recommended specification.

The method may further include displaying a manipulator used for receiving a user input for updating the recommended specifications; acquiring updated recommended specifications based on the user input obtained through the manipulator; and displaying the prosthesis according to the updated recommended specifications.

In addition, the step of determining the recommended specifications by updating the height of the jinji bar of the abutment may include determining priorities for a supra margin, an equal margin, and a sub margin; and obtaining the recommended specifications based on the priorities.

A device for displaying a prosthesis according to a second aspect of the present disclosure determines expected specifications for one or more prostheses determined according to a surgical plan, determines a planned location of a fixture according to the surgical plan, and places the fixture implanted after surgery. a processor that determines a location, obtains error information according to a comparison result between the planned location and the insertion location, and updates the expected specification according to the error information to determine a recommended specification; and a display for displaying the prosthesis according to the determined recommended specifications.

In addition, the prosthesis includes an abutment, and the processor determines an error height representing a height difference between the implantation position and the planned position based on the error information, and determines the height of the abutment to correspond to the error height. The recommended specification may be determined by updating the height of the Jinji bar.

In addition, the prosthesis includes a crown, and the processor determines an error gradient according to a difference between the implantation position and the planned position based on the error information, and updates the shape of the crown to correspond to the error gradient to You can decide on the recommended specifications.

In addition, the processor acquires updated recommended specs based on a user input for updating the recommended specs, the display displays a manipulator used for receiving the user input, and displays a prosthesis according to the updated recommended specs. can be displayed.

A third aspect of the present disclosure may provide a computer readable recording medium recording a program for executing the method according to the first aspect in a computer. Alternatively, the fourth aspect of the present disclosure may provide a computer program stored in a recording medium to implement the method according to the first aspect.

According to one embodiment, by comparing the planned position of the fixture according to the surgical plan and the implanted position of the fixture after surgery, the operator provides error information on whether or not the result as planned for the surgery is provided, so that the operator can place the fixture within the allowable error. You can easily check if it is well positioned.

In addition, when a fixture placement error occurs, by suggesting recommended specifications that appropriately redefine the abutment specifications and crown shape according to the error, even if a surgical error occurs, an appropriate alternative corresponding to it is secured and , It is possible to improve user convenience by allowing it to be used for determining and designing prostheses after surgery.

The effects of the present disclosure are not limited to the above effects, and should be understood to include all effects that can be inferred from the configuration of the invention described in the detailed description or claims of the present disclosure.

1 is a block diagram illustrating an example of a configuration of a device according to an exemplary embodiment.
2 is a diagram for explaining an operation in which a device determines expected specs for a crown based on an oral image of a patient before surgery, according to an exemplary embodiment;
3 is a diagram for explaining an operation of determining a planned position of a fixture by a device according to an exemplary embodiment.
4 is a diagram for explaining an operation of determining an expected insertion angle of a fixture by a device according to an exemplary embodiment.
5 is a diagram for explaining an operation in which a device provides 3D modeling data of a crown and 3D modeling data of a fixture based on expected specifications of the crown and a planned position of the fixture, according to an embodiment.
6 to 8 are diagrams for explaining an operation of determining an expected specification of an abutment by a device according to an embodiment.
9 is a diagram for explaining an operation of a device providing a guide image based on expected specifications and a planned position of a prosthesis according to an embodiment.
10 is a view for explaining an operation of acquiring an oral cavity image by matching an oral image before surgery and an oral image after surgery by a device according to an embodiment.
11 and 12 are diagrams for explaining an operation of displaying a matching result on an oral cavity image by a device according to an exemplary embodiment.
FIG. 13 is a diagram for explaining an operation of loading a planned position of a fixture before surgery so that the device overlaps an implanted position of the fixture on a postoperative oral image according to an embodiment.
14 is a diagram for explaining an operation of detecting a fixture placement position in a postoperative oral cavity image by a device according to an embodiment.
15 is a diagram for explaining an operation in which a device acquires error information according to a comparison result between a planned position of a fixture and an installed position of a fixture, according to an embodiment.
FIG. 16 is a diagram for explaining an operation in which a device determines a recommended specification of a prosthesis by updating an expected specification of a prosthesis based on error information, according to an embodiment.
17 is a diagram for explaining an operation of displaying expected specifications of a prosthesis and recommended specifications of a prosthesis by a device according to an exemplary embodiment.
18 is a diagram for explaining an operation in which a device provides a manipulator for updating a recommended specification according to an embodiment.
19 is a flowchart illustrating an example of a method of displaying a prosthesis by a device according to an example embodiment.

The terms used in the embodiments have been selected as general terms that are currently widely used as much as possible while considering the functions in the present disclosure, but they may vary depending on the intention or precedent of a person skilled in the art, the emergence of new technologies, and the like. In addition, in a specific case, there is also a term arbitrarily selected by the applicant, and in this case, the meaning will be described in detail in the description of the invention. Therefore, terms used in the present disclosure should be defined based on the meaning of the term and the general content of the present disclosure, not simply the name of the term.

In the entire specification, when a part is said to "include" a certain component, it means that it may further include other components, not excluding other components unless otherwise stated. In addition, as described in the specification, "... Terms such as “unit” refer to a unit that processes at least one function or operation, which may be implemented as hardware or software, or a combination of hardware and software.

Hereinafter, with reference to the accompanying drawings, embodiments of the present disclosure will be described in detail so that those skilled in the art can easily carry out the present disclosure. However, the present disclosure may be implemented in many different forms and is not limited to the embodiments described herein.

Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings.

1 is a block diagram illustrating an example of a configuration of a device 100 according to an embodiment.

Referring to FIG. 1 , a device 100 may include a processor 110 and a display 120 .

The processor 110 may obtain a surgical plan. In one embodiment, the processor 110 includes surgery case information about at least one of a surgical type (eg, implant), an operating body type (eg, a prosthetic type, etc.), and a target region (eg, a dental implant number, etc.). plan can be obtained. In one embodiment, the processor 110 may read the surgical plan from memory or receive it from an external device. In another embodiment, the processor 110 may display the patient's oral cavity image (eg, oral scan data) and surgical case information, and generate a surgical plan based on a user input for the oral cavity image.

Processor 110 may determine one or more prostheses according to the surgical plan. In one embodiment, the prosthesis may include at least one of an abutment and a crown. In one embodiment, a prosthetic appliance may be understood as a concept including all artificial structures such as an abutment, a crown, a screw, and an anchor pin used in implant surgery.

The processor 110 may determine expected specifications for one or more prosthesis determined according to the surgical plan. Here, “specification” includes the type of prosthesis (eg, product number), and in one embodiment, is a concept that includes not only the material for realizing the prosthesis and the type of prosthesis according to the size of the prosthesis, but also its design. can be understood

The processor 110 may obtain an oral image (eg, intraoral scan data) of the patient before surgery, and determine expected specifications for the prosthesis using the oral image before surgery. In one embodiment, the oral cavity image may be a computed tomography (CT) image taken to analyze the shape of the patient's oral cavity, but is not limited thereto. In another embodiment, the oral cavity image may be a Digital Imaging and Communication in Medicine (DICOM) digital image, or may include various types of other medical images. In one embodiment, the oral cavity image may include a 3D CT image, a 2D CT image, an X-ray image, an oral scan image, and an image obtained by matching two or more of the images. For example, the oral cavity image may include 2-dimensional axial, cross-section, parallel, and panoramic images obtained from a 3-dimensional CT image.

The processor 110 may detect a surgical region corresponding to the target region in the oral image of the patient before surgery, and determine expected specifications and a planned position of the prosthesis based on the detected surgical region and surgical case information. For example, the processor 110 determines the shape and size of the crown based on the contact point with the adjacent tooth in the surgical area of the preoperative oral image, and determines the expected specification and planned position of the crown according to the determined shape and size. can In addition, the processor 110 may determine the expected specification and planned position of the fixture based on the determined expected specification and planned position of the crown.

This will be described in more detail with reference to FIGS. 2 to 8 .

FIG. 2 is a diagram for explaining an operation in which the device 100 determines expected specs for a crown based on an oral image of a patient before surgery, according to an exemplary embodiment.

Referring to FIG. 2(a) , the processor 110 may retrieve a crown shape corresponding to the size of a surgical area from a previously stored crown shape library or determine a crown shape according to a user input to the crown shape library. . In addition, the processor 110 may determine the size of the crown based on the contact point 210 that comes into contact with the adjacent tooth when the 3D modeling data 11 of the crown is placed in the surgical area according to the determined shape. For example, the processor 110 detects the arch line 220 based on the direction of the occlusal surface in the oral cavity image before surgery, and determines the buccal-lingual crown to be placed on the arch based on the arch line 220. area can be determined. Then, the processor 110 may determine the size of the crown by defining a plane 230 viewed from the mesial-distal direction of the crown based on the contact point 210 with the adjacent tooth.

Referring to FIG. 2(b) , the processor 110 may determine the height of the crown based on the gum line 240 of the surgical area. For example, the processor 110 determines the gum line 240 according to the lowermost (or uppermost) gum margin in the buccal direction included in the buccal region of the crown on the 3D modeling data 11 of the crown, The lower size (or upper size) and shape of can be defined. Subsequently, the processor 110 determines the size of the crown by defining the height of the crown based on the gum line 240 and the line connecting the anterior incisal edge and the buccal cusp of the posterior tooth for the upper and lower jaws (see identification number 250). can The processor 110 may determine a central axis of the crown indicating a direction in which the crown is disposed based on the plane 230 viewed from the mesial-distal direction created with respect to the arch line 220 . The processor 110 may update the 3D modeling data 11 of the crown using the determined shape, size, and central axis. The processor 110 may update the 3D modeling data 11 of the crown so that the 3D modeling data embodying the gum shape is applied to the crown shape of the gum margin area.

3 is a diagram for explaining an operation of determining a planned position of a fixture by the device 100 according to an exemplary embodiment.

Referring to FIG. 3(a) , the processor 110 may determine a central axis of the fixture indicating a direction in which the fixture is disposed based on the central axis 310 of the crown. For example, the processor 110 is disposed on the same axis as the central axis 310 of the crown determined according to the mesiodistal plane 230 of the crown based on the 3D modeling data 11 of the crown disposed in the surgical area. The central axis of the fixture can be determined.

Referring to FIG. 3(b), the processor 110 may determine a planned position of the fixture based on the central axis 310 and size of the crown. For example, the processor 110 determines a first point where the central axis 310 of the crown and the gum line 240 intersect, and moves downward (towards the gums) by a predetermined distance 320 around the first point. direction) can be determined. Then, the processor 110 may determine the planned position of the fixture so that the uppermost central point of the fixture is located at a position corresponding to the second point. In addition, the processor 110 may determine the planned position of the fixture to be parallel to the direction corresponding to the central axis 310 of the crown. In this case, the planned position of the fixture may be a position where the center of the top of the fixture lies at the second point and the central axis of the fixture is aligned with the central axis 310 of the crown.

In one embodiment, the preset distance 320 may be 3.0 mm, but is not limited thereto. In one embodiment, the preset distance 320 may be determined according to a user input. In one embodiment, the predetermined distance 320 may be applied as a value corresponding to a characteristic of a fixture selected by a user, for example, when the same or different numerical values are preset according to characteristics of each fixture. .

4 is a diagram for explaining an operation of determining, by the device 100, an expected installation angle of a fixture according to an embodiment.

Referring to FIG. 4( a ) , the processor 110 may obtain boundary information of each tooth through tooth segmentation of the oral image of the patient before surgery.

Referring to FIG. 4(b), the processor 110 uses the obtained boundary information of each tooth to determine the tooth located in the mesial direction of the fixture to be placed among the adjacent teeth 410 and 420 adjacent to the surgical area ( An expected insertion direction 440 may be determined to be parallel to the central axis 430 of the 420 .

Referring to FIG. 4(c), the processor 110 may determine the expected implantation angle of the fixture in the expected implantation direction 440 according to the mesiodistal direction, and use the determined expected implantation angle to obtain a 3D image of the crown on the surgical area. The modeling data 11 and the 3D modeling data 12 of the fixture can be arranged.

5 is for explaining an operation in which the device 100 provides 3D modeling data 11 of the crown and 3D modeling data 12 of the fixture based on the expected specifications of the crown and the planned position of the fixture, according to an embodiment. it is a drawing

Referring to FIG. 5 , the processor 110 displays 3D modeling data 11 of the crown and 3D modeling data 12 of the fixture on the oral image of the patient before surgery using the information of the crown and the fixture determined above. can For example, the processor 110 generates 3D modeling data 11 of the crown to implement a virtual crown according to the shape selected according to the user input, the size determined above, and the central axis 310, and displays it on the surgical area. can be displayed. In addition, the processor 110 generates 3D modeling data 12 of the fixture to implement a virtual fixture according to the shape selected according to the user input for the fixture shape library, the planned position and the expected insertion angle determined above, and converts the 3D modeling data 12 of the crown. It can be positioned at the bottom by a predetermined distance 320 from the 3D modeling data 11 .

The processor 110 may update the corresponding 3D modeling data based on a user input for the displayed 3D modeling data 11 of the crown or 3D modeling data 12 of the fixture. For example, when the position, size, shape, central axis, etc. of the crown is modified according to the user input for the 3D modeling data 11 of the crown, the processor 110 determines the corrected position, size, shape, central axis, etc. The 3D modeling data 11 of the crown may be modified, and the expected specifications and planned position of the crown may be updated.

6 to 8 are diagrams for explaining an operation of determining an expected specification of an abutment by the device 100 according to an embodiment.

FIG. 6 conceptually shows the expected specifications of the abutment based on the vertical cross section viewed from the mesiodistal direction for the 3D modeling data 11, 12, and 13 of the crown, fixture, and abutment. Referring to FIG. 6 , the processor 110 may determine the expected specifications of the abutment as the expected specifications and planned positions of the crown and the fixture are determined.

In one embodiment, the expected specification of the abutment is Gingiva Height (G/H) 21 of the abutment, the top height of the abutment 22, the abutment height 23, It may include at least one of a butment diameter 24 , an appropriate prosthesis thickness 25 , and a crown shape height 26 .

The height of the abutment (21) is the lower point of the abutment in contact with the gum (1) and the upper point of the abutment in contact with the fixture when the abutment is fastened to the fixture placed in the oral cavity of the patient. indicates the height of the connection. For example, the height 21 of the abutment overlaps with the gum 1 when the 3D modeling data 13 of the abutment is combined with the 3D modeling data 12 of the fixture placed in the surgical area. It may be the vertical distance between the lowest point on the 3D modeling data 13 of the abutment and the topmost point on the 3D modeling data 13 of the abutment that overlaps with the 3D modeling data 12 of the fixture.

The height 22 of the top of the abutment represents the height obtained by subtracting the height 21 of the abutment from the height 23 of the abutment. In addition, the abutment height (A/H) 23 represents the height connecting the topmost point of the abutment and the topmost point of the abutment in contact with the fixture, and the abutment height ( 21) and the height of the top of the abutment (22). The abutment diameter 24 represents a diameter or a length corresponding thereto according to the type (eg, product number) of the abutment. The appropriate prosthetic thickness 25 represents the vertical distance between the lowest point protruding toward the abutment among the top points of the crown and the topmost point of the abutment. The crown shape height 26 may be the vertical distance between the lowest point protruding toward the abutment among the top points of the crown and the gum 1 or the top point of the abutment in contact with the gum 1, It may be equal to the sum of the height 22 of the top of the prosthesis and the appropriate thickness 25 of the prosthesis.

In one embodiment, the appropriate thickness 25 of the prosthesis is determined according to the crown material, for example, 1.0 mm when the crown material is gold, and zirconia or glass-ceramic. In this case, it may be 2.0 mm.

For example, the processor 110 determines the minimum thickness based on the planned position of the fixture indicated through the 3D modeling data 12 of the fixture, the gum margin information, the diameter of the crown, and the thickness information according to the material of the crown, and The height of the abutment 23 can be determined using the height excluding the thickness height according to the material and the distance to the margin of the abutment.

7 conceptually illustrates an abutment margin based on a vertical cross section viewed from the mesiodistal direction with respect to the 3D modeling data 13 of the abutment. Referring to FIG. 7 , the processor 110 may determine expected specifications of the abutment based on the abutment margin. In one embodiment, the abutment margin may include a supra margin 31 , an equal margin 32 , and a sub margin 33 . Specifically, FIG. 7 (a) shows 3D modeling of the abutment according to the upper margin 31 so that a specific part of the abutment (eg, the middle protruding part) is located at the upper part by a specific value relative to the gum 1 A case where data 13 is arranged is shown. Figure 7 (b) shows the case where the 3D modeling data 13 of the abutment is arranged along the equal margin 32 so that the corresponding part of the abutment is located at an equal height relative to the gum 1. . 7(c) shows a case in which the 3D modeling data 13 of the abutment is arranged according to the lower margin 33 so that the corresponding part of the abutment is located lower by a specific value based on the gum 1 are doing

In one embodiment, the upper margin 31 is a margin for the case where a specific part of the abutment (eg, an intermediate protruding part) is less implanted based on the gum 1 and protrudes outside the gum 1 above a reference value. The equivalent margin 32 represents the margin for the case where the corresponding part of the abutment corresponds to the gum 1, and the lower margin 33 indicates that the corresponding part is further placed based on the gum 1 and exceeds the reference value. It represents the margin for the case of being sunk into the gum (1).

For example, when the abutment height 23 is provided as an integer multiple of a predetermined unit height according to the abutment manufacturer and the specifications provided, the processor 110 determines or presets the abutment margin according to a user input. The height of the abutment 23 may be determined using information on the upper margin 31 , the equal margin 32 , and the lower margin 33 .

8(a) and 8(b) show the 3D modeling data 12 and 13 of the fixture and the abutment based on the horizontal cross section viewed from the buccal-lingual-mesial-distal (B-L-M-D) direction. It conceptually shows the expected specifications of the butment. 8(a) and 8(b) , the processor 110 may determine the abutment diameter 24 based on crown diameter information. For example, the processor 110 determines the shape of the crown based on the 3D modeling data 11 of the crown disposed on the 3D modeling data 12 of the fixture based on the buccal-lingual-mesiolateral-distal (B-L-M-D) direction. An outermost margin 810 may be determined. Subsequently, the processor 110 determines the abutment diameter 24 as the smallest diameter value closest to the minimum distance of the crown determined according to the outermost margin 810 of the crown among a plurality of pre-stored abutment diameter values. can For example, since the outermost margin 810 of the crown is not circular, the distance of the crown along the buccal-lingual (B-L) direction or the mesial-distal (MD) direction may be measured with various values within a predetermined range. The processor 110 may determine the abutment diameter 24 according to the closest and smallest value to the minimum value among various distance values of the crown.

Referring to FIG. 8(c), the processor 110 determines the abutment height 21 based on the abutment angle 820 representing the slope formed between the horizontal plane (or gum) and the inclined plane of the abutment. ) can be updated. Here, the abutment angle 820 may mean, for example, an angle between a horizontal cross section perpendicular to the direction of placement of the fixture and the lowermost point of the abutment protruding and inclined in the buccal direction. For example, the processor 110 arranges the 3D modeling data 11, 12, and 13 of the fixture, abutment, and crown on the surgical area according to the expected specification and the planned position determined above, and based on the uppermost point of the fixture The abutment angle 820 may be detected by measuring the inclination of the lowest point of the abutment protruding in the horizontal plane and the buccal direction. Subsequently, the processor 110 determines the height 21 of the abutment when the detected abutment angle 820 is greater than or equal to a set angle (eg, 30 degrees) included in a pre-stored emergence profile. You can decide not to update. On the other hand, the processor 220, when the detected abutment angle 820 is less than the set angle, as shown in FIG. 8 (c), the abutment angle 820 is greater than the set angle The height of the jinbar of the abutment (21) and plan by increasing the height of the jinbar (21) of the current value (eg, G/H 3.0mm) by a predetermined value (eg, increasing to 4.0mm of G/H). location can be updated. When the height 21 of the abutment is changed, the expected specification of the abutment may be changed because the height 23 of the abutment is also changed.

The processor 110 may determine expected specifications and planned positions of the crown, fixture, and abutment as described above, and the crown, fixture, and abutment may be placed on the oral image of the patient before surgery according to the determined expected specifications and planned positions. 3D modeling data (11, 12, 13) of can be displayed overlapping. In addition, the processor 110 determines at least some of the expected specifications and planned positions of the crown, fixture, and abutment based on user input for the 3D modeling data 11, 12, and 13 of the displayed crown, fixture, and abutment. can be updated. In one embodiment, the surgical plan may be updated to include expected specifications and planned positions of the prosthesis.

For example, the processor 110 may update the planned position or direction of the fixture according to a user input requesting fine adjustment of the planned position or direction of the fixture, and the planned position or direction of the abutment may also be engaged with the fixture. In the same way, you can rotate the direction or move the position. In addition, the processor 110 may also update the shape of the cervical portion of the crown as the planned location or direction of the abutment is changed. In this way, the processor 110 may first determine the planned position of the prosthesis and then update the planned position and expected specifications of the prosthesis according to a user input.

The processor 110 may generate a guide shape model based on the determined expected specification and planned position of the prosthesis and provide a guide image 910 representing the generated guide shape model. Details regarding this will be described with reference to FIG. 9 .

FIG. 9 is a diagram for explaining an operation of providing a guide image 910 by the device 100 based on expected specifications and a planned position of a prosthesis according to an embodiment.

Referring to FIG. 9 , the processor 110 may create a guide shape model based on the determined expected specification of the prosthesis and the planned position of the fixture, and generate a guide image 910 that visually represents the created guide shape model. . For example, the processor 110 generates a guide shape model by determining the position and size of the hole based on the characteristics of the fixture, the planned location, size, placement direction, placement depth, etc., and generates the guide image 910 therefrom. can do. Furthermore, the processor 110 may superimpose the generated guide image 910 on the oral cavity image before surgery and display it.

In one embodiment, the guide image 910 may include 3D modeling data for a guide structure for guiding an operator's implant operation on a patient. In one embodiment, as shown in FIG. 9 , the guide structure may have an artificial structure including one or more holes fastened to the oral cavity of the patient and visually guiding the placement of a fixture, placement of a crown, and the like.

In one embodiment, a guide structure for implant surgery may be obtained based on 3D modeling data of the guide image 910 . For example, the guide structure can be manufactured through 3D printing or milling equipment based on the guide image 910, and is fastened to the patient's oral cavity during implant surgery to facilitate surgery such as drilling and placement of fixtures. I can help you progress.

The processor 110 may obtain surgical results on the fixture. In one embodiment, the surgical result may include information about an oral image after the surgery and a fixture placed according to the surgery. For example, the processor 110 acquires a postoperative oral image through CT imaging of a patient undergoing implant surgery, and analyzes the image of the postoperative oral image to determine the placement position of the fixture placed in the postoperative oral image, Information on the direction and size of implantation can be obtained.

The processor 110 may obtain an oral image by matching the oral image before surgery and the oral image after surgery. Details regarding this will be described in more detail with further reference to FIGS. 10 to 12 .

10 is a view for explaining an operation of obtaining an oral cavity image by matching a pre-operative oral image and a post-operative oral image by the device 100 according to an embodiment, and FIGS. 11 and 12 are respectively according to an exemplary embodiment. It is a diagram for explaining an operation of the device 100 to display a matching result on an oral cavity image.

Referring to FIG. 10 , the processor 110 may acquire an oral cavity image by matching the oral cavity image before surgery and the oral cavity image after surgery. For example, the processor 110 may acquire a pre-surgery oral image (see FIG. 10(a)) through a CT scan of the patient's oral cavity prior to implant surgery through the above-described operation. Subsequently, the processor 110 performs implant surgery using the guide structure manufactured based on the planned position of the fixture determined above, and then, as shown in FIG. 10 (b), through CT imaging of the patient's oral cavity. Oral images can be acquired after surgery. Subsequently, the processor 110 may perform matching with the oral cavity image after surgery based on the oral cavity image before surgery.

In general, CT data before and after surgery are images of the same patient, but the coordinate axes of the data may not be the same due to the patient's posture and environmental factors during the CT scan process. Therefore, according to an embodiment of the present disclosure, accuracy can be improved in providing comparison results before and after surgery by loading patient data before and after surgery into a 3D image and matching the data before and after surgery.

The processor 110 may match the oral image before surgery and the oral image after surgery based on the plurality of matching points 1010 . For example, the processor 110 is pre-set for data matching or based on a number (eg, 3) determined according to a user input (eg, mouse click) and a plurality of matching points 1010 according to location coordinates. The pre-surgery oral image and the post-surgery oral image may be matched according to a pre-stored image matching algorithm.

The processor 110 determines three or more matching points 1010 according to user input using a pre-surgery oral image and a post-surgery oral cavity image, which are CT 3D images on which volume rendering or surface rendering is performed, and the determined matching points 1010 ), matching may be performed by matching the coordinates or coordinate reference points of the oral image before surgery and the oral image after surgery based on ). In another embodiment, the processor 110 may perform automatic matching by determining three or more matching points 1010 based on a pre-stored image matching algorithm or a machine learning algorithm.

The processor 110 may obtain an oral image by correcting the position and orientation of the oral image after surgery based on the oral image before surgery. For example, the processor 110 determines the pre-surgery oral image representing patient data taken before surgery as reference data for data matching, and the post-surgery representing patient data taken after surgery based on the coordinates of the pre-surgery oral image. Matching may be performed through at least one of positional movement and direction rotation of the oral cavity image. As such, in the present disclosure, since a surgical plan is established based on patient data before surgery and the coordinate information of the implant structure including the fixture is aligned with the data before surgery, the registration accuracy is improved by defining the oral image before surgery as the reference coordinates. can make it

Referring to FIG. 11 , the processor 110 may display a matching result numerically expressing the degree of matching between the pre-operative oral image and the post-operative matching image on the post-operative oral image. Here, the matching result may be determined based on the degree to which areas in which the pre-operative oral image and the post-operative registration image overlap each other match each other. In one embodiment, the processor 110 determines the matching result as a matching degree indicating the degree to which regions in which the pre-operative oral image and the post-operative oral image overlap each other in the registered oral image, and the matching degree is at a predetermined level. An abnormal area and a non-defective area may be displayed in different colors. For example, as shown in identification number 1110, the processor 110 uses preset matching color map information 1120 to determine a corresponding color according to the degree to which the overlapping regions of the upper and lower regions match each other. By visualizing on a 3D oral image, different degrees of matching can be displayed in different colors. In addition, the processor 110 may process the color of each region so that the color of each region is closer to red or blue as the matching degree is lower, and closer to green as the matching degree is higher.

Referring to FIG. 12 , the processor 110 may update the oral cavity image based on the user's correction input for the matching result. For example, the processor 110 displays axial, transverse, or parallel cross-sectional images extracted from the registered oral cavity images and matching results together, and according to a user's correction input for the displayed cross-sectional images through a fine-tuning interface. After performing fine adjustments such as position movement and direction rotation of the oral image after surgery or correction of the position and reference point of the matching point 1010, the above-described registration may be performed again to update the oral image. In one embodiment, the processor 110 may display the pre-operative oral image as a background image and display the boundary of the post-operative oral image as a line of a specific color (eg, yellow) to confirm the matching of the two oral images. It can be displayed so that it can be displayed, and the two oral images can be expressed in reverse. In addition, the processor 110 may differentiate the colors of the oral cavity image before surgery and the oral cavity image after surgery and express them as background images, so that the user can distinguish the two oral images through color.

The processor 110 may detect the placement position of the fixture placed after the surgery and obtain a comparison result of the planned position of the fixture and the fixture placement position. This will be described in more detail with reference to FIGS. 13 to 15 .

FIG. 13 is a diagram for explaining an operation of loading a planned position of a fixture before surgery so that the device 100 overlaps an implanted position of the fixture on a postoperative oral image according to an embodiment.

Referring to FIG. 13 , the processor 110 may load an intraoral image after surgery and a planned position of a fixture before surgery, respectively. For example, the 3D modeling data 12 of the acquired fixture can be loaded in a separate data form using information such as the planned position, size, and placement direction of the fixture determined according to the surgical plan, and FIG. 13(a) 13(d), the 3D modeling data 12 of the fixture is positioned in a 3D shape in each of the axial, transverse, parallel, and panoramic oral images before surgery, or a predetermined margin for the shape It can be positioned in a 2D cross-sectional shape using the information (see identification numbers 1310 to 1340).

FIG. 14 is a diagram for explaining an operation of detecting, by the device 100, an implantation position of a fixture in an intraoral image after surgery, according to an embodiment.

Referring to FIG. 14 , the processor 110 may detect the placement position of the fixture placed after the surgery by using the oral cavity image after the surgery. In one embodiment, the processor 110 may detect an area where a fixture is placed as a pixel area having a Hounsfield Unit (HU) of a set value or more in the oral cavity image after surgery. Since the fixture placed in the oral cavity of the patient is generally made of a metal material, its shape may be expressed as white in the oral image after surgery according to its high density. As shown in FIGS. 14(a) to 14(d) , the processor 110 generates a pixel having a HU value representing a brightness level of a predetermined value or more in each of the axial, transverse, parallel, and panoramic oral images. Regions where fixtures are placed can be detected as regions (refer to identification numbers 1410 to 1440). As such, the processor 110 obtains the margin area of the fixture, which is expressed close to white, based on the HU value, and may use it as a reference area for mutually comparing fixture positions before and after surgery.

The processor 110 may position the 3D modeling data 12 of the fixture on the oral cavity image based on the placement position of the fixture detected in the oral cavity image after surgery. The fixture shape expressed on the CT image after surgery may be larger than the actual fixture due to the metal artifact phenomenon. Accordingly, the processor 110 overlaps and arranges the actual fixture shape registered in the fixture shape library on the three-dimensional shape of the fixture expressed in the postoperative CT image, and determines the placed fixture shape as the fixture implanted after surgery. By doing so, the fixture after surgery can be expressed in a size corresponding to the actual fixture.

15 is a diagram for explaining an operation in which the device 100 obtains error information according to a comparison result between a planned position of a fixture and an installed position of the fixture, according to an embodiment.

Referring to FIG. 15 , the processor 110 may obtain error information according to a comparison result between the planned position of the fixture and the position where the fixture is to be placed. For example, the processor 110 may obtain a comparison result of the position and placement direction of the fixture by using the shape of the fixture determined according to the surgical plan and the margin information of the fixture obtained from the oral image after surgery. Since the coordinates are matched by matching CT data before and after surgery according to the above-described embodiment, the processor 110 can measure the error generated during the surgical procedure according to the positional difference between the planned position of the fixture before surgery and the position where the fixture is placed after surgery. can

In an embodiment, the error information may include at least one of an error position between an implantation position of a fixture placed after surgery and a planned position of the fixture before surgery, an error height, an error slope according to an insertion direction, an error size, and an error reference point. .

In one embodiment, the reference point may be a central point, an uppermost point, a lowest point, or a preset specific point of each prosthesis, but is not limited thereto. For example, the reference point may be a central point (e.g., the center of a circle when the fixture is viewed circularly from the top), or a point located on the left, right, upper, or lower side of the central point in a specific ratio with respect to a tooth or prosthesis. . In addition, the center point may be a point that becomes the spatial center of each prosthesis on a multi-dimensional (eg, two-dimensional) mapping of the oral cavity image, and the artificial tooth structure is fixed with the first axis (eg, X-axis) fixed to the set position. It can be interpreted as a meaning encompassing points that are centered in various criteria, such as being a point that is spatially centered on two axes (eg, Y axis).

In addition, the error reference point is the shortest distance between center points, height difference between center points (e.g., height difference on a parallel plane), horizontal difference between center points (e.g., center point coordinate difference in the axial direction), height difference between top points, or lowest point. It can be a difference in height between the liver (e.g. a difference in depth in a parallel or transverse plane).

In one embodiment, the error slope according to the placement direction may include a difference in slope with respect to a reference line corresponding to the placement direction of each fixture. For example, the inclination difference may include an angle between a first straight line connecting the upper midpoint and the lower midpoint of the fixture before surgery and a second straight line connecting between the upper midpoint and the lower midpoint of the fixture after surgery. For example, it may include the angle difference of the fixture before and after surgery with respect to the central point of the crown.

Based on the error information, the processor 110 may determine an error height representing a height difference between the fixture placement location and the planned location of the fixture. For example, the processor 110 may determine the error height by detecting a height difference between position coordinates corresponding to a fixture placement position and position coordinates corresponding to a planned position of the fixture with respect to a horizontal plane.

Based on the error information, the processor 110 may determine an error gradient according to a difference between a fixture placement position and a planned position of the fixture. For example, the processor 110 may determine an error slope by detecting a slope between a central axis according to a fixture placement position and a central axis according to a planned position of the fixture.

In one embodiment, the processor 110 may superimpose and display the comparison result including the error information on the oral cavity image. For example, the processor 110, as shown in FIG. 15 (a), in the oral image in the axial direction, the horizontal difference (eg, : 0.05mm) (refer to ID No. 1530) to inform the position of error and the center point of error, and in the oral image of the parallel plane, the difference in inclination along the implantation direction (e.g. 3.0 degree) (refer to ID No. 1540) and the height difference between the nadir (see ID No. 1540) Example: +1.00mm) (see ID No. 1550) to inform the error slope and error depth, and in the cross-sectional oral image, the difference in inclination along the implantation direction (eg 2.7 degree) (see ID No. 1560) and the lowest point The height difference (e.g. +1.00mm) (see ID 1570) can be displayed to inform error slope and error depth. In one embodiment, information about the pre-surgery fixture and the post-surgery fixture may be displayed in different colors.

In one embodiment, when a request for comparison of a prosthesis other than a fixture is received according to a user input, the processor 110 additionally compares the planned position and the actual position of the requested prosthesis through comparative analysis of oral images before and after surgery. result can be obtained.

The processor 110 may determine whether to determine recommended specifications by updating expected specifications of a prosthesis (eg, a crown or an abutment) and a fixture based on the error information. For example, the processor 110 determines that, when the determined error height, error slope, and error center point exceed respective error tolerance values, an error in the position or direction of a fixture planned before surgery and a fixture implanted after surgery is generated. occurs and it can be determined that the expected specifications for the abutment require adjustment.

In one embodiment, the processor 110 determines whether each error included in the error information is within a tolerance range set for each, if it exceeds the tolerance range, a value exceeding the tolerance, and if it is within the tolerance range, the tolerance It is possible to determine the margin secured from the error. For example, the processor 110 determines an area within a preset distance from the boundary of the preoperative fixture on the oral cavity image as the tolerance range for the placement position, whether the boundary of the implanted fixture is out of the tolerance range, The shortest distance interval, the longest distance interval, and the average distance interval to the tolerance range can be calculated.

In one embodiment, the processor 110 may display the error information and the allowable error range together on the oral cavity image, and may display the error information and the allowable error range in different colors. Accordingly, the user can intuitively check whether the fixture is placed within the tolerance according to the surgery.

The processor 110 may determine recommended specifications by updating expected specifications of the prosthesis according to the error information. For example, the processor 110 determines a recommended specification of an abutment that replaces the expected specification when it is determined that the expected specification of the abutment needs adjustment because the error information exceeds the allowable error range, and thereby determines the recommended specification of the abutment. The shape of the crown can be updated accordingly. This will be described in more detail with reference to FIGS. 16 to 18 .

FIG. 16 is a diagram for explaining an operation in which the device 100 determines recommended specifications of a prosthesis by updating expected specifications of a prosthesis based on error information, according to an embodiment.

16(a) illustrates the expected specification and planned position of the prosthesis determined according to the surgical plan. For example, 3D modeling data 11, 12, and 13 of the crown, fixture, and abutment according to the expected specifications and planned positions of the crown, fixture, and abutment have been generated according to the above-described embodiment.

16(b) illustrates a situation in which an error occurs between a planned position of a fixture according to a surgical plan and an implanted position of a fixture after surgery.

The processor 110 may determine recommended specifications of the crown by updating the shape of the crown to correspond to the error slope of the fixture. In one embodiment, the processor 110 may update the placement direction of the abutment to correspond to the error gradient of the fixture, and may update the shape of the crown based on the updated placement direction of the abutment. Since the abutment is fastened to the fixture, it is positioned coaxially with the fixture. Therefore, as shown in identification number 12', when an error occurs between the implantation position and direction of the fixture compared to the 3D modeling data 12 of the fixture after surgery, the processor 110 abuts the fixture by an angle corresponding to the slope of the error. The central axis of the ment can be rotated and the position can be moved by a distance corresponding to the error position. In addition, the processor 110 may determine the recommended specifications of the crown by re-determining the shape of the crown based on the margin and appearance contour of the abutment.

When updating the shape of the crown, the processor 110 may update the shape of the cervical region located below the contact point of the crown. For example, as shown in 16(b), when an error occurs in which the fixture placement direction (see ID No. 12') is tilted more than the set value compared to the expected placement direction planned before surgery (see ID No. 12), Considering that the abutment fastened to the fixture also tilts together with respect to the horizontal plane, the shape of the crown is located downward based on the contact point between the crown and adjacent teeth and located upward based on the contact point with the abutment. can be updated.

The processor 110 may determine the recommended specification of the abutment by updating the height 21 of the abutment to correspond to the error height. In one embodiment, the processor 110 determines the height of the abutment 23, the height of the abutment jinbar 21, and By calculating the appropriate value of the abutment diameter 24, it is possible to determine the recommended specifications for each.

The processor 110 may determine priorities for the upper margin 31 , the equal margin 32 , and the lower margin 33 , and obtain recommended specifications of the abutment based on the priorities. In one embodiment, the processor 110 may determine the recommended specifications of the abutment according to the highest priority in the order of equal margin 32, lower margin 33, and upper margin 31. For example, the processor 110 gives the highest priority to the equal margin 32 in which the abutment is set to correspond to the gum 1, and sets it for the case where the abutment protrudes out of the gum 1. The lowest priority may be given to the upper margin 31, and the recommended specifications of the abutment may be determined to secure the equal margin 32 or the lower margin 33 as much as possible according to the error information.

17 is a diagram for explaining an operation of displaying, by the device 100, expected specifications of a prosthesis and recommended specifications of a prosthesis according to an exemplary embodiment.

Referring to FIG. 17 , the processor 110 may display a first prosthetic image (see FIG. 17(a)) according to the expected specification and planned position of the prosthesis, and recommend the placement position of the fixture placed after surgery and the prosthesis. A second prosthetic image (refer to FIG. 17(b)) according to the specification may be displayed. For example, when the expected specifications of the crown and abutment are changed, the processor 110 may display the expected specifications according to the surgical plan and the recommended specifications according to the error information. In addition, the processor 110 displays the first prosthetic image through the 3D modeling data 11 and 13 of the crown and abutment according to the expected specifications and planned positions, and the crown and abutment according to the recommended specifications updated according to the error information. The second prosthetic image may be displayed through the recommended 3D modeling data 11' and 13' of the abutment, so that the user may be visually notified of changes in the inclination of the abutment or the shape of the crown together.

Meanwhile, displaying the prosthesis may mean displaying not only an image of the prosthesis, but also numerical information about specifications or shapes.

The processor 110 may overlap and display the first prosthetic image and the second prosthetic image. For example, the processor 110 overlaps the first prosthetic image and the second prosthetic image so that the boundary of the first prosthetic image and the boundary of the second prosthetic image are visually distinguished, as shown in FIG. 17(b), or The crown margin line 1710 representing the margin of the crown shape included in the first prosthetic image may be overlapped and displayed on the second prosthetic image. In an embodiment, the processor 110 may overlap and display the first prosthetic image and the second prosthetic image in different colors.

18 is a diagram for explaining an operation in which the device 100 provides a manipulator 1810 for updating a recommended specification according to an exemplary embodiment.

Referring to FIG. 18 , the processor 110 may display a manipulator 1810 used to receive a user input for updating recommended specifications. In one embodiment, the manipulator 1810 includes a first manipulation menu 1820 for updating the shape of the selected prosthesis, a second manipulation menu 1830 for updating the height 21 of the abutment, and an abutment. It may include at least one of a third manipulation menu 1840 for updating the abutment height 23 and a fourth manipulation menu 1850 for updating the abutment diameter 24, and the expected specifications of the prosthesis described above It may further include other manipulation menus for updating elements of or other various elements applicable to expected specifications.

The processor 110 may obtain updated recommended specifications based on a user input obtained through the manipulator 1810 . For example, the processor 110 receives a selection input for an abutment through the manipulator 1810 and receives a selection input for a specific shape from a pre-stored abutment shape library through a first manipulation menu 1820. and a user input for increasing or decreasing the value of the height of the ginseng bar by a predetermined unit through the second manipulation menu 1830 may be received, and the expected specification of the abutment is updated according to the user input received in this way. Thus, the recommended specifications of the abutment can be determined.

The processor 110 may display the prosthesis according to the updated recommended specifications. For example, whenever a user input is received through the manipulator 1810, the processor 110 updates and displays recommended 3D modeling data of the prosthesis on the oral cavity image according to the recommended specifications of the prosthesis updated according to the corresponding user input. can

Accordingly, the processor 110 provides the manipulator 1810 so that the user can adjust and check the specifications of the prosthetic appliance, so that the user can easily determine major specifications such as the height of the ginning bar 21 and the height of the abutment 23. It can be changed to improve user convenience. In addition, as the specifications of the prosthesis are adjusted, a manipulator 1810 for redefining the shape of the cervical region of the crown may also be provided when the shape of the crown needs to be changed.

In one embodiment, the processor 110 may determine surgical accuracy based on error information. For example, the processor 110 may calculate surgical accuracy indicating a small degree of error between a surgical plan and a surgical result using an error height, an error slope, and an error center point. In one embodiment, the processor 110 may assign high weights in the order of error slope, error height, and error center point, and determine surgical accuracy so as to be inversely proportional to the error size. In one embodiment, the processor 110 may output a notification message including an analysis result on the surgical accuracy when the surgical accuracy is less than or equal to a set value.

The processor 110 according to an embodiment may perform a series of operations for displaying the prosthetic appliance, and may be electrically connected to the display 120 and other components to control data flow between them. For this purpose, it may be implemented as a central processor unit (CPU) that controls the overall operation of the device 100 .

In one embodiment, the display 120 may comprehensively mean an image output device that displays an image, for example, a liquid crystal display (LCD) or a thin film transistor-liquid crystal display (LCD). , an organic light-emitting diode, a flexible display, a 3D display, an electrophoretic display, and the like.

In an embodiment, the display 120 may display various types of information under the control of the processor 110, for example, error information, a first prosthetic image, and a second prosthetic image according to a comparison result, as described above. can be displayed.

In addition, those of ordinary skill in the art may understand that other general-purpose components may be further included in the device 100 in addition to the components shown in FIG. 1 . According to an embodiment, the device 100 further includes an algorithm for processing 3D image data, a communication unit for communicating with other devices through a wired/wireless network, a user interface for receiving user input, and a storage module for storing data. According to another embodiment, some of the components shown in FIG. 1 may be omitted.

19 is a flowchart illustrating an example of a method of displaying a prosthesis by the device 100 according to an example embodiment.

In step S1910, the processor 110 may determine expected specifications for one or more prosthesis determined according to the surgical plan. In one embodiment, the prosthesis may include at least one of an abutment and a crown.

In step S1920, the processor 110 may determine the planned position of the fixture according to the surgical plan. In one embodiment, the processor 110 may determine the expected specification and planned position of the crown according to the surgical plan, and determine the planned position of the fixture based on the expected specification and planned position of the crown.

In step S1930, the processor 110 may determine the placement position of the fixture placed after the surgery. In one embodiment, the processor 110 may determine the placement position of the fixture based on a pixel area having a HU equal to or greater than a set value in the intraoral image after surgery.

In step S1940, the processor 110 may obtain error information according to a comparison result between the planned position of the fixture and the position where the fixture is to be placed. In one embodiment, the processor 110 may determine an error height representing a difference in height between the fixture placement position and the planned position of the fixture based on the error information, and based on the error information, the fixture placement position and the planned position of the fixture. The error slope according to the difference in can be determined.

In step S1950, the processor 110 may update expected specifications of the prosthesis according to the error information, determine recommended specifications, and display the prosthesis according to the determined recommended specifications on the display 120. In one embodiment, the processor 110 may determine a recommended specification of the prosthesis by updating the height 21 of the abutment to correspond to the height of the error, and update the shape of the crown to correspond to the slope of the error to determine the value of the prosthesis. You can decide on the recommended specifications. In an embodiment, the display 120 may overlap and display the first prosthetic image and the second prosthetic image.

According to an embodiment of the present invention, the device 100 compares the fixture placement position after surgery based on the planned position of the fixture according to the surgical plan, and provides error information on whether the surgeon obtains the result as planned for the surgery. By doing so, the operator can easily check whether the fixture is well positioned within the tolerance.

In addition, when a fixture placement error occurs, by proposing a recommended specification that redefines the abutment specification and crown shape, the operator can secure an appropriate alternative even if a surgical error occurs, and prosthesis after surgery It can be used for decision and design, so user convenience can be improved.

The order and combination of the steps shown above is an embodiment, and the order, combination, branch, function, and subject of execution thereof may be added, omitted, or modified within the scope that does not deviate from the essential characteristics of each component described in the specification. It can be seen that this can be done. In addition, throughout the specification, 'providing' includes a process in which an object acquires specific information or directly or indirectly transmits/receives it to a specific object, and can be interpreted as comprehensively including the performance of related operations required in this process.

Various embodiments of the present disclosure provide one or more instructions stored in a storage medium (eg, memory 604) readable by a machine (eg, display device 202 or computer). It can be implemented as software including For example, a processor of the device (eg, processor 608 ) may call at least one of one or more instructions stored from a storage medium and execute it. This enables the device to be operated to perform at least one function according to the invoked at least one instruction. The one or more instructions may include code generated by a compiler or code executable by an interpreter. The device-readable storage medium may be provided in the form of a non-transitory storage medium. Here, 'non-temporary' only means that the storage medium is a tangible device and does not contain signals (e.g., electromagnetic waves), and this term refers to the case where data is stored semi-permanently in the storage medium. It does not discriminate when it is temporarily stored.

According to one embodiment, the method according to various embodiments disclosed in the present disclosure may be included and provided in a computer program product. Computer program products may be traded between sellers and buyers as commodities. A computer program product is distributed in the form of a device-readable storage medium (e.g. compact disc read only memory (CD-ROM)), or through an application store (e.g. Play Store™) or on two user devices (e.g. It can be distributed (eg downloaded or uploaded) online, directly between smartphones. In the case of online distribution, at least part of the computer program product may be temporarily stored or temporarily created in a device-readable storage medium such as a manufacturer's server, an application store server, or a relay server's memory.

Those skilled in the art related to this embodiment will be able to understand that it can be implemented in a modified form within a range that does not deviate from the essential characteristics of the above description. Therefore, the disclosed methods are to be considered in an illustrative rather than a limiting sense. The scope of the present disclosure is shown in the claims rather than the foregoing description, and all differences within the equivalent scope will be construed as being included in the present disclosure.

100: device
110: processor 120: display
11: Crown 3D modeling data 12: Fixture 3D modeling data
13: 3D modeling data of abutment

Claims (12)

In the method of displaying the prosthesis,
determining, by a processor, expected specifications for one or more prostheses determined according to the surgical plan;
determining, by the processor, a planned position of a fixture according to the surgical plan;
determining, by the processor, the placement position of the implanted fixture after surgery;
obtaining, by the processor, error information according to a comparison result between the planned location and the placement location; and
and determining, by the processor, a recommended specification by updating the expected specification according to the error information, and displaying a prosthesis according to the determined recommended specification on a display.
According to claim 1,
The method of claim 1 , wherein the prosthesis includes at least one of an abutment and a crown.
According to claim 2,
The step of displaying the prosthesis according to the recommended specifications is
determining an error height indicating a height difference between the placement position and the planned position based on the error information; and
And determining the recommended specification by updating a gingival height of the abutment to correspond to the error height.
According to claim 2,
The step of displaying the prosthesis according to the recommended specifications is
determining an error slope according to a difference between the placement position and the planned position based on the error information; and
And determining the recommended specification by updating the shape of the crown to correspond to the error slope.
According to claim 1,
The method further includes displaying an overlapping first prosthetic image according to the expected specification and the planned position and a second prosthetic image according to the placement position and the recommended specification.
According to claim 1,
displaying a manipulator used for receiving a user input for updating the recommended specifications;
acquiring updated recommended specifications based on the user input obtained through the manipulator; and
The method further comprising; displaying the prosthesis according to the updated recommended specifications.
According to claim 3,
The step of determining the recommended specification by updating the height of the jinji bar of the abutment
Determining priorities for Supra margin, Equi margin, and Sub margin; and
And obtaining the recommended specification based on the priority order.
In the device for displaying the prosthesis,
determine expected specifications for one or more prostheses determined in accordance with the surgical plan;
Determine the planned position of the fixture according to the surgical plan,
Determine the placement position of the fixture placed after surgery,
Obtaining error information according to a comparison result of the planned position and the placement position;
a processor determining a recommended specification by updating the expected specification according to the error information; and
A device comprising a; display for displaying the prosthesis according to the determined recommended specifications.
According to claim 8,
The prosthesis includes an abutment,
The processor
Determining an error height representing a height difference between the implantation position and the planned position based on the error information;
A device for determining the recommended specification by updating the height of the jinbar of the abutment to correspond to the error height.
According to claim 8,
The prosthesis includes a crown,
The processor
Determining an error slope according to a difference between the placement position and the planned position based on the error information;
The device determining the recommended specification by updating the shape of the crown to correspond to the error slope.
According to claim 8,
The processor
Acquiring updated recommended specifications based on a user input for updating the recommended specifications;
the display
A device that displays a manipulator used for receiving the user input and displays a prosthesis according to the updated recommended specification.
A computer-readable recording medium recording a program for executing the method of any one of claims 1 to 7 on a computer.

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