Method for displaying nerve canal and implant surgical plan establishment apparatus therefor

Abstract

Disclosed is a method for displaying a nerve canal and an implant surgical plan establishment apparatus therefor. The present invention provides a nerve canal visual information map in which, during detection of a nerve canal area in a patient's CT data, when there are areas where the nerve canal area fails to be detected, a virtual nerve canal area is generated, and identified and represented as visual information such that a user can check the virtual nerve canal area. Accordingly, during establishment of an implant placement plan, risk factors can be easily identified, and the position of an implant can be determined in consideration of the risk factors.

Description

Method for marking the neural canal and device for establishing an implant surgical plan

[0001] The present invention relates to dental image processing technology, and more particularly, to dental image processing technology for establishing a dental implant surgery plan.

[0002] When planning implant surgery using software, the software checks the patient's CT data and determines the implant placement location based on anatomical structures. Specifically, when planning implant placement in the mandible, the CT data identifies the nerve canal area to prevent damage to the inferior alveolar nerve canal. Furthermore, by using the software's functions to generate a virtual nerve canal line, the surgeon can predict potential collisions between the implant or other structures and the nerve canal before developing the surgical plan.

[0003] Software that supports commercialized imaging and surgical planning creates neural canal lines by allowing the user to input points in the neural canal area and connect each point to create a line from panoramic images and 2D cross-sectional images generated based on CT data.

[0004] However, if the shape of the neural canal is not clearly depicted in the patient's CT data, the generated neural canal line may be inaccurate. Furthermore, the patient's actual neural canal does not have a consistent thickness across the entire area, but the generated virtual neural canal line is expressed as a consistent thickness. This can result in the creation of a virtual neural canal line that does not match the shape of the actual neural canal.

[0005] According to one embodiment, a method for marking a nerve canal and an implant surgery planning device are proposed, which facilitate the identification of risk factors when establishing an implant placement plan and enable the position of an implant to be determined by considering the risk factors.

[0006] A neural tube display method according to one embodiment includes a step of detecting a neural tube region from CT data, a step of generating a virtual neural tube region when there is a neural tube region detection failure region when detecting the neural tube region, a step of generating a neural tube line from a neural tube region including the virtual neural tube region, a step of generating a neural tube visual information map that expresses the virtual neural tube region by dividing it into visual information, and a step of displaying the generated neural tube visual information map on CT data.

[0007] The step of detecting a neural canal region may include a step of collecting a plurality of CT data to separate an upper jaw region and a lower jaw region, a step of learning an area where a neural canal is located in the separated lower jaw region, and a step of inputting a patient's CT data into a learned model, detecting a neural canal region using the learned model, and generating and outputting a neural canal line.

[0008] In the step of generating a virtual neural tube region, in the case of a region where neural tube region detection fails, a virtual neural tube region can be generated using adjacent image information.

[0009] In the step of generating a virtual neural tube region, a virtual neural tube region can be generated by connecting the detected neural tube regions of two adjacent images corresponding to neural tube detection regions on both sides based on the neural tube region detection failure region.

[0010] The step of generating a neural tube visual information map may include a step of generating a neural tube reference line, a step of generating a neural tube margin, a neural tube area, and a neural tube safety area using density information centered on the neural tube reference line, and a step of generating a neural tube visual information map in which each generated area is expressed by dividing it into visual information.

[0011] In the step of generating a neural tube reference line, a neural tube reference line having the same thickness can be generated from the generated neural tube line.

[0012] In the step of creating a neural tube margin, neural tube area, and neural tube safety area, an area where density increases as it moves beyond the neural tube area in CT data can be created as a neural tube margin.

[0013] In the step of creating the neural tube margin, neural tube area, and neural tube safety area, the area between the neural tube margin and the neural tube reference line, which is an area where the density in the CT data decreases rapidly, can be created as the neural tube area.

[0014] In the step of creating a neural tube margin, a neural tube area, and a neural tube safety area, a neural tube safety area can be created by adding the thickness of a neural tube reference line to the neural tube margin as an outer part of the neural tube margin.

[0015] The step of generating a neural tube visual information map may further include a step of regenerating a new neural tube reference line by fine-tuning the neural tube reference line, and when applying the regenerated neural tube reference line to the neural tube visual information map, there is no change in the neural tube area, neural tube margin, and neural tube safety area, and the neural tube area may be generated inside the neural tube margin excluding the regenerated neural tube reference line.

[0016] The neural tube display method may further include a step of setting neural tube visual information map information through a neural tube visual information map setting screen to generate a neural tube visual information map, and the neural tube visual information map setting screen may include a neural tube line thickness setting interface, a neural tube visual information map setting interface, and a visual information map area setting interface.

[0017] The neural tube line thickness setting interface is an interface for setting the thickness of a neural tube line, and a neural tube reference line of a neural tube visual information map can be generated based on the thickness of the neural tube line set through the neural tube line thickness setting interface, and the neural tube visual information map setting interface can set the color of each area constituting the neural tube visual information map, and the visual information map area setting interface can include an interface for setting the entire area where the neural tube reference line is generated as a visual information map area, and an interface for setting only a virtual neural tube area among the entire area where the neural tube reference line is generated as a visual information map area.

[0018] In the step of displaying the generated neural canal visual information map on CT data, the entire area can be displayed as a visual information map area, or only the virtual neural canal area among the entire area can be displayed as a visual information map area.

[0019] The neural tube display method may further include a step of generating a danger warning when the displayed neural tube visual information map and the implant collide.

[0020] According to another embodiment, an implant surgery planning device includes a data acquisition unit that acquires CT data, a display unit that displays information, a control unit that detects a neural tube region from CT data, generates a virtual neural tube region if there is a neural tube region detection failure region when detecting the neural tube region, generates a neural tube line from a neural tube region including the virtual neural tube region, generates a region for removing errors that may occur when detecting the neural tube region and generating the virtual neural tube region, generates a neural tube visual information map that expresses the generated region by distinguishing it as visual information, and displays the generated neural tube visual information map on CT data through the display unit.

[0021] The present invention provides a neural canal visual information map in which a virtual neural canal area is generated when a neural canal area detection failure area exists in a patient's CT data, and is expressed as visual information so that the user can check it, thereby facilitating the identification of risk factors when establishing an implant placement plan and determining the position of the implant by considering the risk factors.

[0022] Figure 1 is a drawing showing the configuration of an implant surgery planning device according to one embodiment of the present invention.

[0023] FIG. 2 is a diagram illustrating a neural tube region detection process according to an embodiment of the present invention;

[0024] FIG. 3 is a drawing showing an image screen in which a neural tube region is clearly visible according to one embodiment of the present invention;

[0025] FIG. 4 is a drawing showing an image screen in which a neural tube area is not clearly visible according to one embodiment of the present invention;

[0026] FIG. 5 is a drawing showing a screen for creating a virtual neural tube area in the case of a neural tube area detection failure area according to an embodiment of the present invention;

[0027] FIG. 6 is a drawing showing a video screen expressing a neural network as a visual information map according to one embodiment of the present invention;

[0028] FIG. 7 is a diagram illustrating a neural tube visual information map setting screen according to an embodiment of the present invention.

[0029] FIG. 8 is a drawing showing a screen displaying a neural tube in a 2D cross-sectional image and a 3D image according to an embodiment of the present invention;

[0030] FIG. 9 is a diagram illustrating a panoramic image and a density graph of the panoramic image for generating a neural tube area and a neural tube margin of a neural tube visual information map according to an embodiment of the present invention.

[0031] FIG. 10 is a diagram illustrating CT data for generating neural tube visual information map information according to an embodiment of the present invention.

[0032] FIG. 11 is a drawing showing a video screen in which a neural tube visual information map is displayed in a virtual neural tube area according to one embodiment of the present invention;

[0033] FIG. 12 is a diagram illustrating a process of regenerating a new neural tube reference line by fine-tuning the generated neural tube reference line according to one embodiment of the present invention.

[0034] FIG. 13 is a drawing showing a video screen that displays a warning when a collision occurs between a neural tube and an implant using a neural tube visual information map according to an embodiment of the present invention.

[0035] FIG. 14 is a diagram illustrating a flow of a neural tube display method according to an embodiment of the present invention.

[0036] The advantages and features of the present invention, and the methods for achieving them, will become clearer with reference to the embodiments described in detail below together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below and may be implemented in various different forms. These embodiments are provided only to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention, and the present invention is created only by the scope of the claims. Like reference numerals designate like elements throughout the specification.

[0037] In describing embodiments of the present invention, if it is determined that a detailed description of a known function or configuration may unnecessarily obscure the gist of the present invention, such detailed description will be omitted. The terms described below are terms created to reflect functions in embodiments of the present invention, and these may vary depending on the intention or custom of the user or operator. Therefore, their creation should be based on the contents throughout this specification.

[0038] Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the embodiments of the present invention exemplified below may be modified in various other forms, and the scope of the present invention is not limited to the embodiments described below. The embodiments of the present invention are provided to more fully explain the present invention to those skilled in the art.

[0039] FIG. 1 is a drawing illustrating the configuration of an implant surgery planning device according to one embodiment of the present invention.

[0040] Referring to FIG. 1, the implant surgery planning device (100) designs an implant structure for dental treatment, establishes an implant surgery plan, and designs a guide. The user can then simulate the established implant surgery plan and then proceed with the implant surgery.

[0041] Referring to Figure 1, the implant surgery planning device (100) is an electronic device capable of executing medical image processing software. Electronic devices include personal computers (PCs), laptops, tablets, and smartphones. Medical image processing software includes guide design software, scanning software, and CAD software. Furthermore, the device can be applied to other general medical image processing software, in addition to those for implant surgery.

[0042] The process of establishing a dental implant surgical plan using software varies depending on the commercialized product, but generally consists of the following processes: registering the surgical patient, acquiring the CT data and scan data of the registered patient, matching the CT data and scan data, creating a jaw line from the matched CT data, creating a panoramic image using the jaw line, arranging the crown from the patient's scan data, placing the implant from the patient's CT data, designing the guide shape, and printing the actual guide.

[0043] The present invention relates to a technology for automatically detecting a nerve canal area and generating a nerve canal line in software so that an implant placement plan can be established by considering the inferior alveolar nerve canal during the above process, a process for generating a virtual nerve canal area when the nerve canal area is not well detected, a technology for expressing the virtual nerve canal area by distinguishing it as visual information, and a technology for regenerating a nerve canal line by making fine adjustments when modification is required after generating the nerve canal line.

[0044] Hereinafter, the configuration of the implant surgery planning device (100) having the aforementioned characteristics will be described in detail.

[0045] Referring to FIG. 1, an implant surgery planning device (100) according to one embodiment includes a data acquisition unit (101), a storage unit (102), a control unit (103), an input unit (104), and a display unit (105).

[0046] The data acquisition unit (101) acquires dental image data. The data acquisition unit (101) can acquire CT data through a linked medical imaging device (not shown) or a separate database. The dental image data may be CT data.

[0047] CT data can be used to generate cross-sectional images of a patient's head using CT (Computed Tomography), and each cross-sectional image can be combined to obtain a 3D image. The acquired CT data can be stored in a storage unit (102).

[0048] The storage unit (102) stores various data such as information required for performing the operation of the implant surgery planning device (100) and information generated according to the operation. In one embodiment, the storage unit (102) stores CT data of an individual patient, and during dental treatment simulation, CT data of a specific patient among all CT data can be provided to the control unit (103) at the user's request. At this time, the storage unit (102) stores images of the upper and lower teeth of an individual patient, and images of the upper and lower teeth matching the CT data of a specific patient can be provided to the control unit (103) at the user's request.

[0049] The control unit (103) controls each component through control by computer software. The control unit (103) manages the screen information displayed on the screen through the display unit (105) and can perform a simulation of implanting a virtual implant in a dental image. The dental image in which a virtual implant is implanted refers to a multidimensional image, such as a two-dimensional or three-dimensional image, showing the arrangement of the patient's teeth, created for the purpose of establishing an implant surgery plan.

[0050] The control unit (103) performs functions such as automatically detecting the nerve canal area and generating a nerve canal line so that an implant placement plan can be established by considering the inferior alveolar nerve canal, creating a virtual nerve canal area when the nerve canal area is not properly detected, distinguishing and expressing the virtual nerve canal area as visual information, regenerating the nerve canal line by making fine adjustments when modifications are required after the nerve canal line is generated, and providing a warning function in case of a nerve canal risk area or implant collision.

[0051] The neural tube region detection and neural tube line generation functions of the control unit (103) may utilize artificial intelligence (AI, hereinafter referred to as "AI"). For example, the control unit (103) may learn a model, input the patient's CT data into the learning model, and detect the neural tube region using the learning model. An example of the neural tube region detection and neural tube line generation functions will be described below with reference to FIG. 2.

[0052] The virtual neural tube region generation function of the control unit (103) is a function that generates a virtual neural tube region when there is a neural tube region detection failure area when detecting a neural tube region from CT data. An example of the virtual neural tube region generation function is described below with reference to FIG. 5.

[0053] The function of displaying the virtual neural tube area of ​​the control unit (103) by distinguishing it with visual information is a function that provides the virtual neural tube area by expressing it with a visual information map so that the user can visually check the neural tube risk area through the visual information map after creating the virtual neural tube area. The visual information may include all information that can be visually distinguished, such as color information, size information of shapes, letters, patterns, etc., shape information, and arrangement information. In this specification, an embodiment in which distinction is made with color information is mainly described. In this case, the visual information map may be a color map.

[0054] In cases where there is a failure in detecting a neural canal region in CT data, a virtual neural canal region is created, and a neural canal visual information map is provided in which the region is visually represented and categorized for the user to confirm, thereby facilitating the identification of risk factors when establishing an implant placement plan and enabling the determination of the implant location by considering the risk factors. The neural canal visual information map representation function is described below with reference to FIGS. 6 to 11.

[0055] The function of regenerating the neural tube line by making fine adjustments when modifications are required after the neural tube line is created by the control unit (103) is described later with reference to FIG. 12.

[0056] The neural tube visual information map and implant collision warning function of the control unit (103) are described later with reference to FIG. 13.

[0057] The input unit (104) receives a user operation signal.

[0058] The display unit (105) displays various types of information on the screen. The display unit (105) can provide a work result screen. The work result screen is a screen generated according to the work execution, and can provide, for example, a screen for automatically generating a neural tube line, a screen for displaying a neural tube visual information map, a neural tube fine-tuning screen, etc.

[0059] FIG. 2 is a diagram illustrating a neural tube region detection process according to one embodiment of the present invention.

[0060] Referring to FIGS. 1 and 2, the implant surgery planning device (100) can detect a neural canal area using an AI algorithm in the patient's CT data, and then generate a neural canal line in the form of a three-dimensional line in the detected neural canal area.

[0061] The method for detecting a neural canal region using AI is as shown in Fig. 2, and includes the steps of (a) collecting multiple CT data to separate the maxillary region (210) and the mandibular region (220), (b) learning the region (230) where the neural canal is generally located in the separated mandibular region (220), and (c) inputting the patient's CT data into the learned model and automatically detecting the neural canal region using the learned model and generating and outputting a neural canal line (240).

[0062] FIG. 3 is a drawing showing an image screen in which a neural tube region is clearly visible according to an embodiment of the present invention, and FIG. 4 is a drawing showing an image screen in which a neural tube region is not clearly visible according to an embodiment of the present invention.

[0063] When automatically detecting a neural canal region in CT data using AI, if the neural canal region (330) is clearly identified in the CT data including a panoramic image (310) and a CT sectional image (320) as shown in FIG. 3, the detection result of the neural canal region may be good.

[0064] However, as illustrated in Fig. 4, if the neural canal region is difficult to clearly identify in CT data, for example, a panoramic image (310), the neural canal region detection result may not be good. For example, in Fig. 4, reference numerals 410 and 420 indicate regions where the neural canal region is clearly detected, but reference numeral 430 indicates a region where neural canal region detection failed.

[0065] FIG. 5 is a drawing illustrating a screen for creating a virtual neural tube area in the case of a neural tube area detection failure area according to one embodiment of the present invention.

[0066] More specifically, FIG. 5 illustrates a CT cross-sectional image (532) of a first region (530) in which a neural tube region is detected in a panoramic image (510), a CT cross-sectional image (542) of a second region (540) in which a neural tube region is detected, and a CT cross-sectional image (522) of a region (520) in which a neural tube region is not detected.

[0067] Referring to FIGS. 1 and 5, in the case of a region where the neural tube region detection fails, the implant surgery planning device (100) creates a virtual neural tube region, creates a three-dimensional virtual neural tube line in the created virtual neural tube region, and then provides it to the user.

[0068] The implant surgery planning device (100) can generate a virtual neural canal region using adjacent image information in the case of a neural canal region detection failure area. That is, the implant surgery planning device (100) can generate a virtual neural canal region using the neural canal regions of two adjacent images corresponding to the neural canal detection areas on both sides based on the neural canal region detection failure area. For example, as illustrated in FIG. 5, the implant surgery planning device (100) searches for two adjacent CT cross-sectional images (532, 542) corresponding to the neural canal detection areas (530, 540) on both sides based on the CT cross-sectional image (522) corresponding to the neural canal region detection failure area (520) in the panoramic image (510). Subsequently, the implant surgery planning device (100) generates a virtual neural canal region (554) in the neural canal region detection failure area (520) by connecting the neural canal regions (534, 544) detected in the two retrieved adjacent CT cross-sectional images (532, 542). Next, a virtual neural tube line is created in the virtual neural tube area (554).

[0069] FIG. 6 is a drawing showing a video screen expressing a neural network as a visual information map according to one embodiment of the present invention.

[0070] More specifically, (a) is a screen expressing a neural canal reference line (630) that appears as a line in a panoramic image (610), (b) is a screen expressing a neural canal reference line (630) that appears as a point in a CT cross-sectional image (620), (c) is a screen expressing a neural canal visual information map (640) in a panoramic image (610), and (d) is a screen expressing a neural canal visual information map (640) in a CT cross-sectional image (620).

[0071] The neural tube reference line (630) may be viewed as a line as shown in (a) or as a point as shown in (b), depending on the viewing direction.

[0072] During implant surgery, if a collision occurs between the implant and the neural canal, it can be a fatal medical accident for the patient. To prevent this, a neural canal line is created in advance, and the surgical plan is established while considering the location of the neural canal. However, if a function to automatically detect the neural canal area is provided for the convenience of the user's software, if there is an error between the virtually created neural canal area and the actual neural canal area, subsequent neural canal line creation may result in meaningless results. To prevent this, the implant surgery planning device (100) creates a neural canal reference line, a neural canal area, a neural canal margin, and a neural canal safety area, and provides a neural canal visual information map (640) that expresses each created area by distinguishing it with visual information, such as color information. The creation of the neural canal visual information map (640) is described below with reference to FIG. 10.

[0073] FIG. 7 is a drawing illustrating a neural tube visual information map setting screen according to one embodiment of the present invention.

[0074] Referring to FIGS. 1 and 7, the implant surgery planning device (100) can set neural canal visual information map information through the neural canal visual information map setting screen (700).

[0075] The nerve visual information map setting screen (700) may include a nerve thickness setting interface (710), a nerve visual information map setting interface (720), and a visual information map area setting interface (730).

[0076] A user can set the thickness of a neural canal line, for example, 1.0 mm, through a neural canal line thickness setting interface (710). The implant surgery planning device (100) can generate a neural canal reference line of a neural canal visual information map based on the thickness of the neural canal line set through the neural canal line thickness setting interface (710).

[0077] The nerve visual information map setting interface (720) includes a nerve line setting interface (722), a nerve area setting interface (724), a nerve margin setting interface (726), and a nerve safety area setting interface (728), and the user can set the color of each area.

[0078] The visual information map area setting interface (730) includes an interface (732) for setting the entire area where the neural tube reference line is generated as the visual information map area, and an interface (734) for setting only the virtual neural tube area (Virtual area) among the entire area where the neural tube reference line is generated as the visual information map area. The user can set the range of the visual information map area through the visual information map area setting interface (730).

[0079] FIG. 8 is a drawing illustrating a screen displaying a neural tube in a 2D cross-sectional image and a 3D image according to an embodiment of the present invention.

[0080] Referring to FIGS. 1 and 8, the neural tube is represented by a line having a thickness set by the user in the neural tube visual information map setting screen (700) of FIG. 7.

[0081] For example, in a 2D cross-sectional image such as a 2D panoramic image (810) as illustrated in FIG. 8, a neural tube is represented by a line (812) having a thickness set in the neural tube visual information map setting screen (700) of FIG. 7.

[0082] However, in a 3D image such as a 3D volume image (820), each line is expressed as a single 3D tube shape (822), and the cylindrical diameter of the tube is reflected as a set thickness.

[0083] The implant surgery planning device (100) can define the automatically generated neural canal line as the ‘neural canal reference line’ of the neural canal visual information map.

[0084] FIG. 9 is a diagram illustrating a panoramic image and a density graph of the panoramic image for generating a neural tube area and a neural tube margin of a neural tube visual information map according to an embodiment of the present invention.

[0085] Referring to FIG. 9, the implant surgery planning device (100) can create a neural canal area, a neural canal margin, and a neural canal safety area using density information of CT data.

[0086] To this end, the implant surgery planning device (100) calculates the density of a predetermined cross-sectional line (910) in CT data, for example, a panoramic image (900). The density can be calculated using HU (Hounsfield unit) information.

[0087] The implant surgery planning device (100) can create an area (930) where the density decreases rapidly in a density graph (920) for a cross-sectional line (910) as a 'nerve canal area' and can create an area (940) where the density increases as a 'nerve canal margin'.

[0088] FIG. 10 is a diagram illustrating CT data for generating neural tube visual information map information according to one embodiment of the present invention.

[0089] Referring to FIG. 10, the neural tube visual information map includes a neural tube reference line (1010), a neural tube area (1020), a neural tube margin (1030), and a neural tube safety area (1040), and each area can be distinguished by visual information, for example, color information or changes in line thickness.

[0090] The neural tube reference line (1010) of the neural tube visual information map is an automatically generated neural tube line, and is expressed as a thick solid line in Fig. 10.

[0091] Since the actual neural tube does not have a constant thickness, and the neural tube reference line (1010) is expressed as a set thickness, it is difficult to accurately create an actual neural tube as a line. The area excluding the neural tube reference line (1010) is created as a neural tube area (1020) according to the actual neural tube line, and this area is expressed as a thick dotted line in Fig. 10.

[0092] The neural canal margin (1030) is an area where density increases as it leaves the neural canal area (1020) where density decreases rapidly in the CT data (1000).

[0093] The neural tube area (1020) is an area where the density decreases sharply in the CT data (1000), and the density difference is greatly reduced. It is an area between the neural tube margin (1030) and the neural tube reference line (1010).

[0094] The neural tube safety zone (1040) is an area provided to eliminate errors that occur in the process of detecting the neural tube area using CT data and AI, errors that occur when the neural tube area is difficult to detect, and errors that occur when a virtual neural tube area is virtually created. The neural tube safety zone (1040) is created by adding the thickness of the neural tube reference line (1010) to the neural tube margin (1030).

[0095] FIG. 11 is a drawing illustrating a video screen in which a neural tube visual information map is displayed in a virtual neural tube area according to one embodiment of the present invention.

[0096] Referring to FIGS. 1 and 11, the neural tube visual information map information is intended to allow the user to safely establish a surgical plan by considering the error of the virtual neural tube area generated when it is difficult to accurately detect the neural tube area during the automatic neural tube area detection process. In the automatic neural tube area detection process, when the neural tube area is inaccurate, only the area virtually generated by the software, that is, the virtual neural tube area, can be expressed as a neural tube visual information map (1110) as illustrated in FIG. 11. This case is when the interface (734) for setting only the virtual neural tube area as the visual information map area among the entire area where the neural tube reference line (1120) is generated in the neural tube visual information map setting screen (700) is activated.

[0097] In contrast, when the interface (732) for setting the entire area (All) as a visual information map area is activated, the implant surgery planning device (100) can express a neural canal visual information map for the entire area where the neural canal reference line (1120) is created.

[0098] FIG. 12 is a diagram illustrating a process of regenerating a new neural tube reference line by fine-tuning a generated neural tube reference line according to one embodiment of the present invention.

[0099] Referring to FIGS. 1 and 12, the implant surgery planning device (100) generates a neural canal reference line (1210) from CT data, for example, a panoramic image (1200) (a).

[0100] Next, the implant surgery plan establishment device (100) displays a plurality of reference points (1220) on the generated nerve canal reference line (1210), and moves by receiving a user manipulation signal (e.g., a signal according to a mouse drag-and-drop operation) (1230) targeting at least one reference point among the displayed plurality of reference points (1220) (b).

[0101] Next, the implant surgery planning device (100) regenerates a new nerve canal reference line (1240) by connecting at least one moved reference point (c).

[0102] When applying the regenerated neural tube reference line (1240) to the neural tube visual information map, there is no change in the neural tube area, neural tube margin, and neural tube safety area, and the neural tube area is created inside the neural tube margin excluding the regenerated neural tube reference line (1240). The implant surgery planning device (100) provides neural tube fine adjustment so that the user can adjust it in the image he or she wants to adjust among the panoramic image (1200) and the CT cross-sectional image, which are CT data.

[0103] FIG. 13 is a drawing showing a video screen that displays a warning when a collision occurs between a neural tube and an implant using a neural tube visual information map according to one embodiment of the present invention.

[0104] More specifically, (a) is a drawing illustrating an example of a collision between a nerve canal and an implant in a general technique, and (b) is a drawing illustrating an example of a collision between a nerve canal and an implant according to an embodiment of the present invention.

[0105] Referring to FIGS. 1 and 13, (a) in the case of a general technique, after a neural tube line (1310) is generated, a collision between an implant (1320) and a neural tube is generated when the neural tube line (1310) and the implant (1320) come into contact, as shown in (a). For example, a warning is generated by displaying the implant (1320) in a different color or with different brightness. However, in this case, as shown in (a), if the generated neural tube line (1310) does not accurately represent the shape of the neural tube, even if the implant (1320) invades the neural tube area (1330), no warning is generated if no collision occurs with the neural tube line (1310).

[0106] Accordingly, the implant surgery plan establishment device (100) of the present invention does not provide a warning display only when the neural canal line (1310) and the implant (1320) collide, but rather generates a warning that there may be danger when the neural canal visual information map (1340) and the implant (1320) collide, as shown in (b), so that the user can recognize this.

[0107] When a collision risk warning occurs, the implant surgery planning device (100) can correct the implant (1320) placement location so that the implant (1320) does not invade the neural canal visual information map (1340).

[0108] FIG. 14 is a diagram illustrating a flow of a neural tube display method according to an embodiment of the present invention.

[0109] Referring to FIGS. 1 and 14, in step S1410, the implant surgery planning device (100) detects a neural canal area from CT data.

[0110] In step S1410, the implant surgery planning device (100) collects multiple CT data to separate the maxillary region and the mandibular region, learns the region where the nerve canal is located in the separated mandibular region, inputs the patient's CT data into the learned model, detects the nerve canal region using the learned model, and generates and outputs a nerve canal line.

[0111] Next, in step S1420, the implant surgery plan establishment device (100) creates a virtual neural canal area when detecting a neural canal area and there is a failed neural canal area detection area.

[0112] In step S1420, the implant surgery planning device (100) can generate a virtual neural canal region using adjacent image information. For example, the implant surgery planning device (100) can generate a virtual neural canal region by connecting the detected neural canal regions of two adjacent images corresponding to neural canal detection regions on both sides based on the neural canal region detection failure region.

[0113] Next, in step S1430, the implant surgery planning device (100) creates a neural tube line from a neural tube area including a virtual neural tube area.

[0114] Next, in step S1440, the implant surgery planning device (100) generates a neural canal visual information map that expresses the virtual neural canal area by dividing it into visual information.

[0115] In step S1440, the implant surgery planning device (100) can generate a neural canal reference line. The generated neural canal line can be defined as the neural canal reference line. Subsequently, a neural canal margin, a neural canal area, and a neural canal safety zone can be generated using density information centered on the neural canal reference line. The neural canal margin can be defined as an area in CT data where the density increases as it leaves the neural canal area. The neural canal area can be defined as an area in CT data where the density decreases rapidly, and can be defined as an area between the neural canal margin and the neural canal reference line. The neural canal safety zone can be defined as an outer part of the neural canal margin, and can be defined as an area in which the thickness of the neural canal reference line is added to the neural canal margin.

[0116] At step S1440, the implant surgery planning device (100) can regenerate a new neural canal reference line by fine-tuning the neural canal reference line. When applying the regenerated neural canal reference line to the neural canal visual information map, there is no change in the neural canal area, neural canal margin, and neural canal safety area, and the neural canal area can be generated inside the neural canal margin excluding the regenerated neural canal reference line.

[0117] Next, in step S1450, the implant surgery planning device (100) displays the generated neural canal visual information map on CT data.

[0118] At step S1450, the implant surgery planning device (100) can display the entire area as a visual information map area, or display only the virtual nerve canal area among the entire area as a visual information map area.

[0119] The implant surgery plan establishment device (100) can set neural canal visual information map information through a neural canal visual information map setting screen to generate a neural canal visual information map. The neural canal visual information map setting screen may include a neural canal line thickness setting interface, a neural canal visual information map setting interface, and a visual information map area setting interface. The neural canal line thickness setting interface is an interface for setting the thickness of a neural canal line, and a neural canal reference line of a neural canal visual information map can be generated based on the thickness of the neural canal line set through the neural canal line thickness setting interface. The neural canal visual information map setting interface may be an interface for setting the color of each area constituting the neural canal visual information map. The visual information map area setting interface may include an interface for setting the entire area in which a neural canal reference line is generated as a visual information map area, and an interface for setting only a virtual neural canal area among the entire area in which a neural canal reference line is generated as a visual information map area.

[0120] The implant surgery planning device (100) can generate a risk warning if the implant collides with the displayed neural canal visual information map. If a collision risk warning is generated, the implant surgery planning device (100) can modify the implant placement location so that the implant does not invade the neural canal visual information map.

[0121] The present invention has been described above, focusing on specific embodiments thereof. Those skilled in the art will appreciate that the present invention can be implemented in modified forms without departing from its essential characteristics. Therefore, the disclosed embodiments should be considered illustrative rather than limiting. The scope of the present invention is set forth in the claims, not the foregoing description, and all differences within the scope equivalent thereto should be construed as being encompassed by the present invention.

Claims

1. In the method of marking the nerve canal using an implant surgery planning device, A step of detecting a neural tube region from CT data; When detecting a neural tube region, a step of generating a virtual neural tube region if there is a region where neural tube region detection fails; A step of generating a neural tube line from a neural tube region including the above virtual neural tube region; A step of generating a neural network visual information map that expresses the virtual neural network area by dividing it into visual information; and A step of displaying the generated neural tube visual information map on the CT data; A neural tube marking method characterized by including:

2. In the first paragraph, the step of detecting the neural tube region is A step of collecting multiple CT data to separate the maxillary region and the mandibular region; A step of learning the area where the neural canal is located in the separated mandibular area; and A step of inputting a patient's CT data into a learned model, detecting a neural canal area using the learned model, generating a neural canal line, and outputting it; A neural tube marking method characterized by including:

3. In the first paragraph, the step of creating a virtual neural tube region A neural tube display method characterized in that, in the case of a region where neural tube region detection fails, a virtual neural tube region is created using adjacent image information.

4. In the third paragraph, the step of creating a virtual neural tube region A neural tube display method characterized in that a virtual neural tube region is created by connecting the detected neural tube regions of two adjacent images corresponding to neural tube detection regions on both sides based on a neural tube region detection failure region.

5. In the first paragraph, the step of generating a neural tube visual information map Step of creating a neural tube reference line; A step of generating a neural tube margin, a neural tube area, and a neural tube safety area using density information centered on a neural tube reference line; and A step of creating a neural network visual information map by expressing each generated area as visual information; A neural tube marking method characterized by including:

6. In paragraph 5, the step of creating a neural tube reference line is A neural tube display method characterized by generating a neural tube reference line having the same thickness from the generated neural tube line.

7. In paragraph 5, the step of creating a neural tube margin, a neural tube area, and a neural tube safety area is A neural tube display method characterized by creating a neural tube margin as an area in which density increases as it leaves the neural tube area in CT data.

8. In paragraph 5, the step of creating a neural tube margin, a neural tube area, and a neural tube safety area A neural tube display method characterized by creating a neural tube region as an area between a neural tube margin and a neural tube reference line, in which density in CT data rapidly decreases.

9. In paragraph 5, the step of creating a neural tube margin, a neural tube area, and a neural tube safety area is A neural tube marking method characterized in that a neural tube safety zone is created by adding the thickness of a neural tube reference line to the neural tube margin as an outer part of the neural tube margin.

10. In the fifth paragraph, the step of generating a neural tube visual information map A step of regenerating a new neural tube reference line by fine-tuning the neural tube reference line; further comprising; A neural tube display method characterized in that when applying a regenerated neural tube reference line to a neural tube visual information map, there is no change in the neural tube area, neural tube margin, and neural tube safety area, and the neural tube area is generated inside the neural tube margin excluding the regenerated neural tube reference line.

11. In paragraph 1, the neural tube marking method is A step of setting neural tube visual information map information through a neural tube visual information map setting screen to create a neural tube visual information map is further included; A neural tube display method characterized in that the neural tube visual information map setting screen includes a neural tube line thickness setting interface, a neural tube visual information map setting interface, and a visual information map area setting interface.

12. In paragraph 11, The neural tube line thickness setting interface is an interface for setting the thickness of the neural tube line. Based on the thickness of the neural tube line set through the neural tube line thickness setting interface, the neural tube reference line of the neural tube visual information map is created. The neural tube visual information map setting interface is an interface for setting the color of each area that constitutes the neural tube visual information map. A method for displaying a neural tube, characterized in that the visual information map area setting interface includes an interface for setting the entire area where a neural tube reference line is generated as a visual information map area, and an interface for setting only a virtual neural tube area among the entire area where a neural tube reference line is generated as a visual information map area.

13. In the first paragraph, the step of displaying the generated neural tube visual information map on CT data A neural tube display method characterized by displaying the entire area as a visual information map area or displaying only a virtual neural tube area among the entire area as a visual information map area.

14. In paragraph 1, the neural tube marking method is A step for generating a hazard warning when the displayed neural canal visual information map and the implant collide; A neural tube marking method characterized by further including:

15. Data acquisition unit for acquiring CT data; a display section for displaying information; and A control unit for detecting a neural tube region from CT data, generating a virtual neural tube region if there is a region where neural tube region detection fails during neural tube region detection, generating a neural tube line from a neural tube region including the virtual neural tube region, generating a region for removing errors that may occur during neural tube region detection and virtual neural tube region generation, generating a neural tube visual information map by expressing the generated region as visual information, and displaying the generated neural tube visual information map on the CT data through the display unit; An implant surgery planning device characterized by including:

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