KR102456703B1 - Method for creating nerve tube line and dental implant surgery planning device therefor - Google Patents

Abstract

A method for generating a neural tube line and an apparatus for establishing a dental implant surgery plan are disclosed. Neural tube line generating method and dental implant surgery planning apparatus according to an embodiment, when a plurality of points expected to be neural tubes are detected in the process of generating a neural tube line in software, the detected points are suggested to the user for correction. User convenience can be improved.

Description

{Method for creating nerve tube line and dental implant surgery planning device therefor}

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

When performing dental implant surgery using dental imaging software or guide design software, an implant surgery plan is established in advance using the software prior to surgery. The process of establishing a dental implant surgery plan using software generally acquires the patient's CT data and scan data, aligns them, and considers the patient's anatomy to establish implant structures (eg, crowns, fixtures, abutments) and guides. It consists of the process of designing the guide shape based on the selective placement of anchor pins for use.

In particular, when planning implant placement in the mandible during a surgical case, check the inferior alveolar nerve area on the CT image to prevent damage to the lower alveolar nerve and connect the nerve areas in a line form using the function provided by the software to prevent damage to the lower alveolar nerve. create At this time, it is possible to establish a surgical plan by predicting the collision of the generated neural tube and the implant structure in advance. Commercially available software provides a method in which a user manually inputs points from image data and connects each point in the software to create a neural tube line.

According to an embodiment, when a plurality of points expected to be neural tubes are detected in the process of generating a neural tube line in software, the detected points are suggested to the user for correction, thereby improving user convenience. and a device for establishing a dental implant surgery plan.

The method for generating a neural tube line according to an embodiment includes generating, by a dental implant surgery planning apparatus, a neural tube line from image data, and when a plurality of points expected to be neural tubes are detected in the neural tube line generation process, Displaying on a screen, selecting a predetermined point as a neural tube generating point by a user manipulation signal from among a plurality of displayed points, and generating a new neural tube line by connecting the selected inputted neural tube generating point. .

The generating of the neural tube line includes generating a panoramic image from the obtained image data, segmenting a tooth region from the generated panoramic image, and detecting a foramen of the neural tube using the tooth segmentation region. and automatically generating a neural tube line comprising the detected foramen.

The step of detecting the foramen of the neural tube includes setting a neural tube detection area below the tooth division area corresponding to a predetermined tooth number of the mandible among the tooth division areas of the panoramic image, and in the set neural tube detection area, HU ( Hounsfield Unit) using the information may include the step of detecting a hole.

The step of automatically generating the neural tube line includes the steps of detecting neural tube generation regions having the same HU information as the hole from the center to the left or from the center to the right starting with the hole detected in the panoramic image, and generating the detected neural tube. connecting the regions with a line to create a neural tube.

The step of displaying the plurality of points on the screen includes determining a first point corresponding to the first priority among the plurality of points as a neural tube generating point, and generating an initial neural tube line connecting the first point to the panoramic image. and generating a neural tube line by connecting the first point of the reference cross section in the panoramic image with each neural tube generation point detected in the cross section before and after the cross section of the reference cross section.

The step of displaying the plurality of points on the screen includes the steps of dividing and displaying the neural tube generation region defining a plurality of points expected to be neural tubes in the panoramic image as identifiable visual information, and separating them into visual information in the panoramic image It may include the step of receiving a selection input of the neural tube generation region according to a user manipulation signal, and displaying a plurality of points by activating a cross-sectional image of the selected neural tube generation region.

In the step of displaying a plurality of points on the screen, a plurality of points can be displayed according to a preset priority, and when connecting the point with the smallest difference in HU value with the foramen area and the neural tube point in the front and rear cross-sectional images, the entire A priority may be assigned to at least one of the points in which the line has an ideal curved shape, and the number of points is preset and may be changed by the user.

In the step of displaying the plurality of points on the screen, the plurality of points may be divided into identifiable visual information according to priority and displayed.

The method for generating a neural tube line further includes the step of showing in advance in a panoramic image a modified neural tube line connecting the overlaid points when the mouse is overlaid on a predetermined point position by a user manipulation signal among a plurality of points of the cross-sectional image can do.

The neural tube line generation method includes activating a neural tube correction function in a predetermined image among a panoramic image or a 2D image generated using CT data, and when the correction function is activated, a user manipulation on the neural tube line generated from the predetermined image The method may further include moving, adding or deleting a correction point or deleting a line according to the signal.

The method for generating a neural tube line may further include a step of simultaneously applying the correction to all other images when a neural tube line correction that moves, adds, or deletes a correction point or deletes a line in a predetermined image occurs.

The method for generating a neural tube line may further include extending the neural tube line by generating an additional line according to a user manipulation signal when the line is cut because the neural tube region is not detected during the neural tube line generation.

A dental implant surgery planning apparatus according to another embodiment includes a data acquisition unit for acquiring image data, an output unit for displaying information including the generated neural tube line, and a neural tube line from the image data acquired through the data acquisition unit When a plurality of points expected to be neural tube are detected in the process, the output unit is controlled to display the plurality of detected points on the screen, and from among the plurality of points displayed on the output unit, the inputted point is selected from the user as a neural tube generating point through the input unit. and a control unit that connects to generate a new neural tube line.

The output unit may divide and display the neural tube generating region defining a plurality of points in the panoramic image as identifiable visual information, and when the neural tube generating region divided by visual information in the panoramic image is selected through the input unit, the selected Multiple points can be displayed by activating the cross section image of the neural tube generating area.

When a mouse is overlaid on a predetermined point position through the input unit among a plurality of points of the cross-sectional image, the output unit may show in advance the modified neural tube line connecting the overlaid points in the panoramic image.

The neural tube line generating method and dental implant surgery planning apparatus according to an embodiment may automatically generate a neural tube line by automatically detecting a neural tube in software based on an anatomical position and connecting this area in a tube form.

Neural tube line generating method and dental implant surgery planning apparatus according to an embodiment, when a plurality of points expected to be neural tubes are detected in the process of generating a neural tube line in software, the detected points are suggested to the user for correction. User convenience can be improved.

For example, when there are a plurality of points determined to be neural tubes in the process of detecting the neural tube region, the final neural tube line may be generated by displaying 　 and allowing the user to select a predetermined point.

When detecting the neural tube area, if there are a plurality of identical HU (Hounsfield Unit) areas in one cross-sectional image, the software may not accurately detect the neural tube area. In this case, a plurality of points detected by the software are displayed on the screen and presented to the user, and a neural tube line can be generated by finally having the user select a predetermined point, without going through a separate fine-tuning process. This can improve the accuracy of the generated results.

1 is a view showing the configuration of a dental implant surgery plan establishment apparatus according to an embodiment of the present invention;
2 is a view showing a flow of a method for generating a neural tube line according to an embodiment of the present invention;
3 is a view showing an example of detecting a hole in a neural tube detection area set based on a tooth number according to an embodiment of the present invention;
4 is a view showing a hole area of a cross-sectional image according to an embodiment of the present invention;
5 is a view showing an example of automatic neural tube detection according to an embodiment of the present invention;
6 is a diagram illustrating an ideal example in which a single neural tube generating region is detected in a panoramic image and a single neural tube generating point is generated in a cross-sectional image according to an embodiment of the present invention;
7 is a view showing a panoramic image and a cross-sectional image in the case of detecting a neural tube generating point having a plurality of HU values similar to each other according to an embodiment of the present invention;
8 is a cross-sectional image showing a plurality of neural tube generation candidate points according to an embodiment of the present invention;
9 is a view showing a panoramic image and a corresponding cross-sectional image in which an initial neural tube line is generated according to an embodiment of the present invention;
10 is a diagram illustrating an example of distinguishing and displaying a neural tube generating region in a panoramic image to change a user's neural tube generating point according to an embodiment of the present invention;
11 is a view showing an example of previewing a modified neural tube line during point overlay according to an embodiment of the present invention;
12 is a view showing an example of modifying the finally generated neural tube line according to an embodiment of the present invention;
13 is a diagram illustrating an example of adding or deleting a correction point or deleting a line according to an embodiment of the present invention.

Advantages and features of the present invention, and a method of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the art to which the present invention pertains. It is provided to fully inform the possessor of the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout.

In describing the embodiments of the present invention, if it is determined that a detailed description of a well-known function or configuration may unnecessarily obscure the gist of the present invention, the detailed description will be omitted, and the terms to be described later are used in the embodiment of the present invention. As terms defined in consideration of the function of Therefore, the definition should be made based on the content throughout this specification.

Each block in the accompanying block diagram and combinations of each step in the flowchart may be executed by computer program instructions (execution engine), which computer program instructions are transmitted to the processor of a general-purpose computer, special-purpose computer, or other programmable data processing device. It may be mounted so that its instructions, which are executed by the processor of a computer or other programmable data processing device, create means for performing the functions described in each block of the block diagram or in each step of the flowchart.

These computer program instructions may also be stored in a computer-usable or computer-readable memory that may direct a computer or other programmable data processing device to implement a function in a particular manner, and thus the computer-usable or computer-readable memory. It is also possible for the instructions stored in the block diagram to produce an article of manufacture containing instruction means for performing a function described in each block of the block diagram or each step of the flowchart.

And since the computer program instructions may be mounted on a computer or other programmable data processing device, a series of operational steps is performed on the computer or other programmable data processing device to create a computer-executed process to create a computer or other programmable data processing device. It is also possible that the instructions for performing the data processing apparatus provide steps for executing the functions described in each block of the block diagram and each step of the flowchart.

Additionally, each block or step may represent a module, segment, or portion of code comprising one or more executable instructions for executing specified logical functions, and in some alternative embodiments the blocks or steps referred to in the block or step. It should be noted that it is also possible for functions to occur out of sequence. For example, it is possible that two blocks or steps shown one after another may be performed substantially simultaneously, and also the blocks or steps may be performed in the reverse order of the corresponding functions, if necessary.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings. However, the embodiments of the present invention illustrated 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 completely explain the present invention to those of ordinary skill in the art to which the present invention pertains.

1 is a view showing the configuration of a dental implant surgery plan establishment apparatus according to an embodiment of the present invention.

Referring to FIG. 1 , the dental implant surgery plan establishment device 1 establishes an implant surgery plan for dental treatment. The user may perform implant surgery after simulating the established implant surgery plan.

The dental implant surgery plan establishment device 1 is an electronic device capable of executing a medical image processing program. The electronic device includes a computer, a notebook computer, a laptop computer, a tablet PC, a smart phone, a mobile phone, a personal media player (PMP), and personal digital assistants (PDA). Medical image processing programs include guide design programs, scan programs, and CAD programs. In addition, it can be applied to programs for general medical image processing other than for implant surgery. Hereinafter, for convenience of explanation, the guide design program for implant surgery will be described as an example, but if image processing is possible, the same can be applied to other programs.

The dental implant surgery plan establishment process includes surgical patient registration, CT data and scan data acquisition of registered patients, registration of CT data and scan data, creation of an arch line from the matched image data, and a panoramic image using the arch line. image) creation, determination of the placement position of the implant structure including fixtures from CT data, determination of the position of the crown model from scan data, determination of the guide generation area, and the final guide output.

The present invention is a technology for automatically generating a neural tube by automatically detecting a neural tube region in software so that an implantation plan can be established in consideration of the lower alveolar neural tube during the above process. It corresponds to a process of proposing a plurality of detected neural tube regions, and a process of fine-tuning if correction is required after the final neural tube line is generated.

Hereinafter, the configuration of the dental implant surgery planning apparatus 1 having the above-described characteristics will be described in detail later.

Referring to FIG. 1 , an apparatus 1 for establishing a dental implant surgery plan according to an embodiment includes a data acquisition unit 10 , a storage unit 12 , a control unit 14 , an input unit 16 and an output unit 18 . include

The data acquisition unit 10 acquires image data. For example, CT data and scan data are acquired from teeth including a damaged target tooth of a patient. The image data may be in two-dimensional or three-dimensional form. The data acquisition unit 10 executes the CT data and the scan data in a program or loads the data stored in a web page and a server in order to match the patient's CT data and the scan data.

The scan data is data having information on actual teeth including damaged teeth. The scan data may be dental model scan data obtained by scanning a plaster model created by imitating a patient's oral cavity with a 3D scanner. As another example, it may be oral scan data obtained by scanning the inside of the patient's oral cavity using a 3D intra-oral scanner. The acquired scan data may be stored in the storage unit 12 .

For CT data, computed tomography (CT) may be used to generate tomographic images of the patient's head, and each tomographic image may be combined to obtain a 3D image. The acquired CT data may be stored in the storage unit 12 .

The scan data and CT data are images obtained by imaging the upper teeth from below the upper teeth with the patient’s mouth open, images obtained by photographing the mandibular teeth above the lower teeth with the patient’s mouth open, and images obtained by photographing local areas with the mouth closed. , oral radiographs, etc.

The storage unit 12 stores various data such as information necessary for performing the operation of the dental implant surgery planning apparatus 1 and information generated according to the operation. The storage unit 12 according to an embodiment stores scan data and CT data of an individual patient, and controls the scan data and CT data of a specific patient from among all scan data and CT data during a dental treatment simulation according to a user's request. (14) can be provided. At this time, the storage unit 12 stores the image of the upper and lower teeth of an individual patient, and displays the image of the upper and lower teeth matching the scan data and CT data of a specific patient according to a user's request. It may be provided to the control unit 14 .

The control unit 14 controls each component through control by a computer program. The controller 14 may manage screen information displayed on the screen through the output unit 18 and perform a simulation of implanting a virtual fixture object in a dental image. A dental image in which a virtual fixture object is placed means a two-dimensional, three-dimensional, or the like, a multidimensional image in which a patient's tooth arrangement is generated for establishing an implant surgery plan. Various types of images such as X-ray, CT, MRI, panoramic images, oral scan data, images generated through reconstruction, and images obtained by matching multiple images can be used for implant surgery planning. The dental image may be referred to as an oral image, a tooth image, or the like.

The control unit 14 according to an embodiment matches the patient's CT data and scan data to establish an implant placement plan. At this time, the matching result between the two image data is transmitted to the output unit 18 and controlled to be output. The control unit 14 according to an embodiment establishes an implant placement plan and creates a guide area. Guide area creation can be done automatically or manually.

The control unit 14 according to an embodiment uses information and anatomical structure information input before creating a neural tube line in order to prevent a collision between the mandibular neural tube and the implant structure in the process of establishing an implant surgery plan using software. Thus, neural tube lines can be automatically generated.

Hereinafter, an embodiment of automatic neural tube line generation of software will be described.

The controller 14 may generate a panoramic image from the image data acquired through the data acquirer 10 , and may divide a tooth region from the generated panoramic image. Subsequently, after detecting the foramen of the neural tube using the tooth segmentation region, a neural tube line including the detected foramen is automatically generated. This hole is a hole that opens outwardly above the dentate tubercle on the lateral surface of the mandible.

For segmentation of the tooth area, the control unit 14 generates an arch line in the image data, and detects a boundary line for segmentation of the tooth area using the arch line. Then, the distance between the tooth arrays existing in the dental library is readjusted by the ratio of the length between the boundary lines detected on the arch line, and the readjusted tooth array is arranged according to the tooth number on the panoramic image. At this time, each tooth area of the tooth arrangement is expressed in a box shape to divide the tooth area. Furthermore, according to the user manipulation signal, a parameter of a predetermined tooth division area among the tooth division areas may be modified.

The control unit 14 according to an embodiment sets a neural tube detection area below a tooth division area corresponding to a predetermined tooth number of the mandible among tooth division areas of the panoramic image, and in the set neural tube detection area, HU (Hounsfield) Unit) information is used to detect a hole.

The control unit 14 according to an embodiment detects the neural tube region excluding the foramen in the neural tube detection region and, when the foramen is not detected, the same HU as the neural tube region detected in the central direction of the panoramic image based on the detected neural tube region. It detects the neural tube termination area where the neural tube ends while moving the cross section position using the information. Then, the detected neural tube termination region is determined as a foramen.

The control unit 14 according to an embodiment detects neural tube generation regions having the same HU information as the forearm from the center to the left or from the center to the right, starting with the hole detected in the panoramic image. Then, a neural tube is automatically generated by connecting the detected neural tube generation regions with a line. The neural tube generating region may be displayed as a region composed of a plurality of points, or may be expressed as a point or a line.

When there are a plurality of points determined to be neural tubes in the automatic neural tube creation process of the software, the control unit 14 displays the plurality of points on the screen through the output unit 18 and suggests them to the user, so that the user selects a predetermined point. to generate the final neural tube line. Accordingly. It is possible to improve the accuracy of the final generated neural tube line result and minimize user manipulation in the process of 　 adjustment.

Hereinafter, an example of generating a neural tube line through proposal of a plurality of points expected as a neural tube of software will be described below.

When a plurality of points expected to be neural tubes are detected in the process of generating a neural tube line from the image data obtained through the data acquisition unit 10, the controller 14 may display the detected plurality of points on the screen. control At this time, a new neural tube line is created by connecting the points selected and input by the user as the neural tube generation point through the input unit 16 among the plurality of points displayed on the output unit 18 .

The output unit 18 may classify and display the neural tube generation region in which a plurality of points are defined in the panoramic image as identifiable visual information. In this case, when the neural tube generating region divided by visual information in the panoramic image is selected through the input unit 16, a cross section image of the selected neural tube generating region may be activated to display a plurality of points.

When a mouse is overlaid on a predetermined point position through the input unit 16 among a plurality of points of the cross-sectional image, the output unit 18 may show in advance the modified neural tube line connecting the overlaid points in the panoramic image.

After the neural tube line is created through the automatic neural tube line generation and the neural tube-expected point suggestion function, the created neural tube line can be modified.

For example, the controller 14 may activate a neural tube line correction function in a predetermined image among a panoramic image or a 2D image generated using CT data. When the correction function is activated, the correction point may be moved, added or deleted, or the line may be deleted according to a user manipulation signal through the input unit 16 to the neural tube line generated from a predetermined image. An embodiment thereof will be described later with reference to FIGS. 12 and 13 . When the line is cut because the neural tube region is not detected while the neural tube line is being generated, the controller 14 may extend the neural tube line by generating an additional line according to a user manipulation signal.

The input unit 16 receives a user manipulation signal. The output unit 18 displays various types of information on the screen. In this case, the output unit 18 may provide a work result screen. The job result screen is a screen generated according to the execution of the job, and for example, there is a neural tube screen in which a neural tube line is automatically generated. In this case, the detailed confirmation and fine adjustment screen may be additionally displayed according to the user's selection on the work result screen.

2 is a diagram illustrating a flow of a method for generating a neural tube line according to an embodiment of the present invention.

Referring to FIG. 2 , the software generates a neural tube line from the image data ( S210 ). In the neural tube line generation step ( S210 ), the software may generate a panoramic image from the acquired image data, and segment a tooth region from the generated panoramic image. Subsequently, after detecting the foramen of the neural tube using the tooth segmentation region, a neural tube line including the detected foramen may be automatically generated.

In order to detect the foramen of the neural tube, the software may set the neural tube detection area below the tooth division area corresponding to a predetermined tooth number of the mandible among the tooth division areas of the panoramic image. In addition, the hole may be detected using HU (Hounsfield Unit) information in the set neural tube detection area.

In the step of automatically generating the neural tube line, the software detects neural tube-generating regions having the same HU information as the foramen from the center to the left or from the center to the right, starting with the foramen detected in the panoramic image, and generates the detected neural tube. A neural tube can be created by connecting the regions with a line.

Subsequently, when a plurality of points expected to be neural tubes are detected in the process of generating a neural tube line, the software displays the plurality of detected points on the screen ( S220 ).

In the step of displaying the plurality of points on the screen (S220), the software determines a first point corresponding to the first priority among the plurality of points as a neural tube generating point, and an initial neural tube line connecting the first point to the panoramic image. can create In addition, a neural tube line may be generated by connecting the first point of the reference cross section in the panoramic image with each neural tube generation point detected in the cross section before and after the cross section of the reference cross section.

In the step of displaying the plurality of points on the screen ( S220 ), the software may classify and display the neural tube generation region defining a plurality of points expected to be neural tubes in the panoramic image as identifiable visual information. In this case, when a neural tube generating region divided by visual information in the panoramic image is selected and input by a user manipulation signal, a cross section image of the selected neural tube generating region may be activated to display a plurality of points.

In the step of displaying a plurality of points on the screen (S220), the software may display a plurality of points according to a preset priority, the point with the smallest difference in HU value with the foramen area, and the neural tube in the front and rear cross-sectional images When connecting with a point, a priority can be assigned to at least one of the points in which the entire line has an ideal curve shape. The number of points is preset and can be changed by the user. In this case, a plurality of points may be classified and displayed as identifiable visual information according to the priority.

Next, the software receives a selection input (S230) of a predetermined point from the plurality of displayed points as a neural tube generating point by a user manipulation signal, and connects the selected inputted neural tube generating point to generate a new neural tube line (S240).

The method for generating a neural tube line according to an embodiment provides a preview function during point overlay. For example, when a mouse is overlaid on a predetermined point position by a user manipulation signal among a plurality of points of a cross-sectional image, a modified neural tube line connecting the overlaid points can be shown in advance in the panoramic image.

The method for generating a neural tube line according to an embodiment may further include a final neural tube line modification step ( S250 ). In the neural tube line correction step ( S250 ), the software may activate the neural tube correction function in a predetermined one of a panoramic image or a 2D image generated using CT data. When the correction function is activated, the correction point may be moved, added or deleted, or the line may be deleted according to a user manipulation signal on the neural tube line generated from a predetermined image. In this case, when neural tube line correction that moves, adds, or deletes a correction point or deletes a line in a predetermined image occurs, the correction may be simultaneously applied to all other images.

The method for generating a neural tube line according to an embodiment may provide a function of extending the neural tube line by generating an additional line according to a user manipulation signal when the line is cut because the neural tube region is not detected during the neural tube line generation.

3 is a diagram illustrating an example of detecting a hole in a neural tube detection area set based on a tooth number according to an embodiment of the present invention.

Referring to FIG. 3 , the software provides a predetermined tooth number among the tooth division areas of the panoramic image 30, for example, tooth number 4 to 6 of the mandible (left #34 to #36 and right #44 to The neural tube detection area 300 is set below the tooth division area corresponding to #46), and the hole, which is the starting point of the neural tube, is detected using HU (Hounsfield Unit) information in the set neural tube detection area 300 .

4 is a diagram illustrating a hole area of a cross-sectional image according to an embodiment of the present invention.

Referring to FIGS. 3 and 4 , the software may not be able to detect a tooth hole when detecting a tooth hole using HU information in the neural tube detection area 300 set below the predetermined tooth division area. In this case, the neural tube region excluding the foramen is detected in the neural tube detection region 300, and moves to the right in the central direction of the panoramic image 30 based on the detected neural tube region (based on the left minor number, the right Moving to the left based on the tooth number) Using the same HU information as the detected neural tube area, the cross section position is moved to detect the neural tube termination area where the neural tube ends. As shown in FIG. 4 , the neural tube termination region is the neural tube exiting from the patient's bone region as shown in the cross-sectional image 40 corresponding to the predetermined cross-sectional position 310 of the panoramic image 30 . It is a part that comes out, and this area can be determined as the hole 400 .

5 is a diagram illustrating an example of automatic neural tube detection according to an embodiment of the present invention.

Referring to FIG. 5 , the software detects neural tube generating regions having the same HU information as the foramen from the center to the left or from the center to the right, starting with the hole in the panoramic image 30, and the detected neural tube Neural tubes 51 and 52 are created by connecting the generating regions with a line. The virtual neural tube may be generated only in one area of the left 51 or right 52 with respect to the center in the panoramic image 30 , and may be simultaneously generated on the left 51 and right side 52 .

6 is a diagram illustrating an ideal example in which a single neural tube generating region is detected in a panoramic image and a single neural tube generating point is generated in a cross-sectional image according to an embodiment of the present invention.

Referring to FIG. 6 , when an ideal neural tube generating region is normally detected in the software, one neural tube line 62 connecting the detected neural tube generating region is displayed in the panoramic image 30, and a cross section of the indicated neural tube generating region. One neural tube generating point 63 is displayed on the cross-sectional image 40 corresponding to 310 . Reference numeral 61 denotes a cross section axis.

7 is a view illustrating a panoramic image and a cross-sectional image in the case of detecting a neural tube generating point having a plurality of HU values similar to each other according to an embodiment of the present invention.

Referring to FIG. 7 , adjacent to the neural tube generation point 63 detected in the software, if there is a neural tube generation candidate region 80 with a similar HU value, the neural tube precisely in the process of connecting the neural tube generation regions with the same HU in the software The creation point may not be detected. The similarity determination of the HU values may be determined if the difference between the HU values is within a preset value.

For example, in the process of using HU information to detect the neural tube generation region where the foramen region and the HU are the same, if there are multiple neural tube creation points with similar HU values in one cross-sectional image, the software will display the neural tube in the cross-sectional image. The generated points are displayed on the screen so that the user can manually select the points.

8 is a diagram illustrating a cross-sectional image indicating a plurality of neural tube generation candidate points according to an embodiment of the present invention.

Referring to FIG. 8 , if a single neural tube generating point is not detected, the software displays a plurality of neural tube generating candidate points on a cross section image, and allows the user to select and determine. Neural tube generation candidate points are defined as two or more points. As shown in FIG. 8, two points (81, 82), three points (81, 82, 83) or their After defining and displaying the above, 　 allows the user to select it. At this time, the first point 81 is a point determined by the software to be a neural tube generating point in the first order, and the second point 82 and the third point 83 are the neural tube generating points in the second and third order, respectively. This is the point that was judged to be there. In this case, priority may be assigned to at least one of a point having the smallest difference in HU value with the foramen area and a point in which the entire line has an ideal curved shape when connecting with a neural tube point in the front and rear cross-sectional images. For example, by connecting with neural tube points in the previous cross section and the subsequent cross section of the reference cross section, a priority can be assigned to a point in which the entire line has an ideal line shape. The number of points may be preset and may be changed by the user. Visual information by which the user can identify the priority may be additionally displayed on the screen.

9 is a view illustrating a panoramic image in which an initial neural tube line is generated and a corresponding cross-sectional image according to an embodiment of the present invention.

Referring to FIG. 9 , when a plurality of neural tube generation candidate points are detected, the software determines a first point 81 corresponding to the first priority among them as a neural tube generation point, and displays the first point in the panoramic image 30 . Create an initial neural tube line connecting 81. For example, the software uses the first point 81 of the reference cross section 90-1 formed vertically in the panoramic image 30, and the previous cross section 90-2 of the reference cross section 90-1. ) and subsequent 　Cross , a neural tube line is generated by connecting it with each neural tube generating point 71, 91 detected in the cross section 90-3. Even if a neural tube line is created in this way, if a plurality of points are defined in the software, the user can check them. make it possible

10 is a diagram illustrating an example of distinguishing and displaying a neural tube generating region in a panoramic image in order to change a user's neural tube generating point according to an embodiment of the present invention.

Referring to FIG. 10 , when a plurality of points are defined, the software provides a neural tube creation area 910 in which a plurality of points are defined in the panoramic image 30 so that the user can select the final neural tube creation point by checking the cross-sectional image. ) is divided into identifiable visual information and displayed. For example, the neural tube generating region 910 is displayed with a color or other mark, so that a user can check a cross section of the neural tube generating region 910 . The user may select the neural tube generating region 910 in the panoramic image 30 to activate a cross section image of the selected neural tube generating region 910, and select one of a plurality of points in the activated cross section image. You can choose. When one point is selected, the final neural tube line can be generated by connecting the selected points.

11 is a diagram illustrating an example of previewing a modified neural tube line during point overlay according to an embodiment of the present invention.

Referring to FIG. 11 , when a user selects a predetermined point through user manipulation such as a mouse click among a plurality of points in the cross section image 40 , a new neural tube line connecting the selected points is displayed in the panoramic image 30 . is created from

Before selecting a point, if the user overlays each point with the mouse, a new neural tube line connected to the overlaid point in the panoramic image 30 is previewed and provided so that the user can finally select it. For example, as shown in FIG. 11 , when the user overlays the second point 92 with a mouse in the cross-sectional image 40 , the modified neural tube line 900 ′ connecting the overlaid second point 92 . ) is shown in advance in the panoramic image 30 . Similarly, when the user overlays the third point 93 in the cross-sectional image 40 with a mouse, the modified neural tube line 900 '' connecting the overlaid third point 93 is displayed in the panoramic image 30 shown in advance

12 is a diagram illustrating an example of modifying a finally generated neural tube line according to an embodiment of the present invention.

Referring to FIG. 12 , the software may automatically detect or the user may select a partial area to modify the finally generated neural tube line in a user's manual manner. It is possible to fine-tune each 　2D cross-sectional image. It is provided so that the user can manipulate the desired neural tube line, such as moving a point that creates a neural tube line, adding a new point, deleting a point, or regenerating a neural tube line after deleting it.

For example, as shown in FIG. 12 , when the neural tube correction function is activated, the software modifies a panoramic image or a 2D image (Axial, Cross, Parallel or Axial, Sagittal, Coronal) generated using CT data. and fine-tuning.

When the correction function is activated, as shown in FIG. 12 , correction points 1200 are generated in the neural tube line generated from each image, and the user can move one of these points. At this time, as the line connecting the moving points also moves according to the position of the moved point, a new line is regenerated. When regenerating a neural tube line, it can be simultaneously applied to all images expressing neural tubes in 2D and 3D images.

13 is a diagram illustrating an example of adding or deleting a correction point or deleting a line according to an embodiment of the present invention.

Referring to FIG. 13, the software adds a point (Add Point) 1310 as shown in FIG. 13 in a neural tube creation image or a neural tube modification image ( FIG. 12 ) using a mouse right-click or other method, or By deleting (Delete Point), moving a point (Move Point), or deleting a line (Delete Line) 1320, the user can modify the desired line shape.

Up to now, the present invention has been looked at focusing on the embodiments thereof. Those of ordinary skill in the art to which the present invention pertains will understand that the present invention can be implemented in modified forms without departing from the essential characteristics of the present invention. Therefore, the disclosed embodiments should be considered in an illustrative rather than a restrictive sense. The scope of the present invention is indicated in the claims rather than the foregoing description, and all differences within the scope equivalent thereto should be construed as being included in the present invention.

Claims (15)

In the method for generating a neural tube line using a dental implant surgery planning device, the dental implant surgery planning device is provided.
generating a panoramic image from the image data, segmenting a tooth region from the generated panoramic image, detecting a hole in the neural tube using the tooth segmentation region, and generating a neural tube line using the detected hole;
displaying a plurality of detected points on a screen when a plurality of points expected to be neural tubes are detected in a neural tube line generation process;
receiving a selected input as a neural tube generating point by a user manipulation signal from among the displayed plurality of points; and
generating a new neural tube line by connecting the selected neural tube generation points;
Neural tube line generation method comprising a. The method of claim 1, wherein generating the neural tube line comprises:
generating a panoramic image from the acquired image data;
segmenting a tooth region in the generated panoramic image;
detecting the foramen of the neural tube using the tooth segmentation region; and
automatically generating a neural tube line including the detected foramen;
Neural tube line generation method comprising a. The method of claim 2, wherein detecting the foramen of the neural tube comprises:
setting a neural tube detection area below a tooth division area corresponding to a predetermined tooth number of the mandible among tooth division areas of the panoramic image; and
detecting a pore using HU (Hounsfield Unit) information in a set neural tube detection area;
Neural tube line generation method comprising a. The method of claim 2, wherein automatically generating the neural tube line comprises:
Detecting neural tube generation regions having the same HU information as the foramen from the center to the left or from the center to the right starting with the foramen detected in the panoramic image; and
generating a neural tube by connecting the detected neural tube generation regions with a line;
Neural tube line generation method comprising a. The method of claim 1, wherein the displaying of the plurality of points on the screen comprises:
determining a first point corresponding to a first priority among a plurality of points as a neural tube generation point;
generating an initial neural tube line connecting the first point to the panoramic image; and
generating a neural tube line by connecting the first point of the reference cross section in the panoramic image with each neural tube generation point detected in the previous cross section and the subsequent cross section of the reference cross section;
Neural tube line generation method comprising a. The method of claim 1, wherein the displaying of the plurality of points on the screen comprises:
classifying and displaying a neural tube generation region defining a plurality of points expected to be neural tubes in the panoramic image as identifiable visual information;
receiving a selection input of a neural tube generation region divided by visual information in a panoramic image according to a user manipulation signal; and
displaying a plurality of points by activating a cross-sectional image of the selected neural tube generation region;
Neural tube line generation method comprising a. The method of claim 1, wherein the displaying of the plurality of points on the screen comprises:
Display a plurality of points according to a preset priority,
Priority is assigned to at least one of the point with the smallest difference in HU value from the foramen area and the point where the entire line has an ideal curve shape when connecting with the neural tube point in the front and rear cross-sectional images,
A method for generating a neural tube line, characterized in that the number of points is preset and can be changed by a user. The method of claim 7, wherein the displaying of the plurality of points on the screen comprises:
A method for generating a neural tube line, characterized in that the plurality of points are divided into identifiable visual information according to the priority and displayed. The method of claim 1, wherein the neural tube line generation method is
When a mouse is overlaid on a predetermined point position by a user manipulation signal among a plurality of points of the cross-sectional image, showing in advance a modified neural tube line connecting the overlaid points in a panoramic image;
Neural tube line generation method, characterized in that it further comprises. The method of claim 1, wherein the neural tube line generation method is
activating a neural tube correction function in a predetermined one of a panoramic image or a 2D image generated using CT data; and
when the correction function is activated, moving, adding or deleting a correction point to a neural tube line generated from a predetermined image according to a user manipulation signal, or deleting a line;
Neural tube line generation method, characterized in that it further comprises. 11. The method of claim 10, wherein the neural tube line generating method is
When a neural tube line correction that moves, adds, or deletes a correction point or deletes a line in a predetermined image occurs, the correction is applied to all other images at the same time;
Neural tube line generation method, characterized in that it further comprises. The method of claim 1, wherein the neural tube line generation method is
extending the neural tube line by generating an additional line according to a user manipulation signal when the line is cut because the neural tube region is not detected during the neural tube line generation;
Neural tube line generation method, characterized in that it further comprises. a data acquisition unit acquiring image data;
an input unit receiving a user manipulation signal;
an output unit for displaying information including the generated neural tube line;
After generating a panoramic image from the image data acquired through the data acquisition unit and segmenting the tooth region from the generated panoramic image, the cavity of the neural tube is detected using the tooth segmentation region, and the neural tube line using the detected cavity. When a plurality of points expected to be neural tubes are detected in the process of generating and generating a neural tube line, the output unit is controlled to display the plurality of detected points on a screen, and among the plurality of points displayed on the output unit, the input unit a control unit for generating a new neural tube line by connecting the selected input points from the user to the neural tube generating points;
Dental implant surgery planning device comprising a. 14. The method of claim 13, wherein the output unit
In the panoramic image, the neural tube generation region that defines a plurality of points is divided and displayed with identifiable visual information,
When a neural tube generating region divided by visual information in the panoramic image is selected through the input unit, a cross-sectional image of the selected neural tube generating region is activated to display a plurality of points. 14. The method of claim 13, wherein the output unit
Dental implant surgery planning apparatus, characterized in that when the mouse is overlaid on a predetermined point position through the input unit among a plurality of points of the cross-sectional image, the modified neural tube line connecting the overlaid points is shown in advance in the panoramic image.

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