A three-dimensional perspective image root canal monitoring system based on AR

Abstract

The present invention discloses an AR-based three-dimensional perspective imaging root canal monitoring system, which includes three parts: a three-dimensional perspective modeling process, a local tracking and amplification process, and a root canal modeling real-time detection process. During use, the present invention intermittently detects the real-time penetration distance during root canal treatment to directly feedback the actual treatment effect during root canal treatment, which can not only improve the treatment effect, but also reduce the secondary damage to the patient.

Description

Technical Field

[0001] The present invention relates to the field of oral medical technology, and in particular to an AR-based three-dimensional perspective image root canal monitoring system. Background Art

[0002] AR technology is a technology that cleverly integrates virtual information with the real world. It widely uses a variety of technical means such as multimedia, three-dimensional modeling, real-time tracking and registration, intelligent interaction, and sensing. It simulates computer-generated virtual information such as text, images, three-dimensional models, music, and videos, and applies them to the real world. The two types of information complement each other, thereby achieving "enhancement" of the real world. It can be applied in various fields.

[0003] For example, in the current root canal treatment, root canal treatment is a surgery in oral medicine to treat pulp necrosis and root canal infection. The pulp is removed through instruments such as root canal files, and debridement, removal of pulp residues and bacteria are performed. Finally, medication, filling and crown installation are performed.

[0004] In the above process, when using the root canal file to remove the pulp, if the root canal file goes in too shallowly, the pulp cannot be completely removed. If it goes in too deep, it will cause direct damage to the apical area of ​​the affected tooth, and even cause serious bleeding, infection and other problems. Therefore, in order to solve such problems, we propose an AR-based three-dimensional perspective image root canal monitoring system. Summary of the invention

[0005] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a three-dimensional perspective image root canal monitoring system based on AR.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] An AR-based three-dimensional perspective image root canal monitoring system, including three parts: a three-dimensional perspective modeling process, a local tracking and magnification process, and a root canal modeling real-time detection process;

[0008] The three-dimensional perspective modeling process includes the following parts:

[0009] A1: Before taking CT scans, place tracking points on the adjacent teeth of the tooth area to be treated. When the tooth area to be treated is located in the mandibular teeth, place marking points on the opposite side of the mandibular teeth and on the left and right points of the upper dentition.

[0010] A2: Use a dental CT machine to scan the oral cavity, generate a CBCT image, and further generate a 3D perspective model through the CT machine, and completely overlap the CBCT detection image and the 3D perspective model;

[0011] The local tracking and amplification process includes the following parts:

[0012] B1: From the 3D perspective modeling process, obtain the mid-stack image generated in part A2;

[0013] B2: Match one tracking point and three marking points, locate them in B1, separate the tooth image at the tracking point from the original image, and magnify it locally;

[0014] The root canal modeling and real-time detection process includes the following parts:

[0015] C1: After completing a root canal cleaning process, the three-dimensional perspective modeling process and the local tracking and magnification process are executed again, and the inside of the oral cavity is scanned again to obtain a new magnified image PIC1 of the tooth area to be treated;

[0016] C2: After the completion of part C1, the depth of the root canal file is based on the enlarged image generated in part C1, the root canal cleaning process is performed again, and the steps in part C1 are repeated to generate another enlarged image PIC2 of the tooth area to be treated;

[0017] C3: Overlap and compare the PIC2 image with the PIC1 image to obtain the penetration distance of the root file and the distance between the root canal orifice and the apical foramen in the PIC2 image.

[0018] Preferably, the sequence of part C1, part C2 and part C3 is repeated no less than 2 times.

[0019] Preferably, in the root canal modeling real-time detection process, a maximum critical value of the distance between the root canal orifice and the apical foramen is set.

[0020] The invention proposes a three-dimensional perspective image root canal monitoring system based on AR, which has the following beneficial effects: during use, the solution is mainly used for the root canal cleaning and preparation process during root canal treatment. During the root canal cleaning process with a root canal file, the basic image information is first confirmed, and the basic image information includes a marking positioning point and a tracking positioning point, so as to quickly find the tooth area to be treated;

[0021] In the subsequent process, after the doctor has completed a period of root canal cleaning, the area of ​​the tooth to be treated can be further displayed and enlarged, and compared with the basic image, and then the depth of the root canal cleaning can be directly fed back based on each set of comparison information. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 This is an operating block diagram of an AR-based three-dimensional perspective image root canal monitoring system proposed by the present invention. DETAILED DESCRIPTION

[0023] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0024] In the description of the present invention, it is necessary to understand that the terms "upper", "lower", "front", "back", "left", "right", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship are based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention.

[0025] Example 1

[0026] Reference Figure 1 , an AR-based three-dimensional perspective image root canal monitoring system, including three parts: three-dimensional perspective modeling process, local tracking and magnification process, and root canal modeling real-time detection process;

[0027] The three-dimensional perspective modeling process includes a CBCT image and a three-dimensional perspective model, and the three-dimensional perspective modeling process includes an overlapping image of the CBCT detection image and the three-dimensional perspective model;

[0028] The local tracking and amplification process is used to amplify the tooth area to be treated, and the local tracking and amplification process includes a tracking positioning point and three marking positioning points, and the tracking positioning point and the marking positioning point are respectively located on the left and right sides of the upper dentition and the lower dentition;

[0029] The root canal modeling and real-time detection process uses a dental CT machine, which generates CBCT images by real-time scanning.

[0030] The image data information in the three-dimensional perspective modeling process is used to execute the reference object in the root canal modeling real-time detection process, and the local tracking and amplification process is used to respond to the positioning action in the root canal modeling real-time detection process.

[0031] Embodiment 2:

[0032] The three-dimensional perspective modeling process includes the following parts:

[0033] A1: Before taking CT scans, place tracking points on the adjacent teeth of the tooth area to be treated. When the tooth area to be treated is located in the mandibular teeth, place marking points on the opposite side of the mandibular teeth and on the left and right points of the upper dentition.

[0034] A2: Use a dental CT machine to scan the oral cavity to generate a CBCT image, and further generate a three-dimensional perspective model through the CT machine, and completely overlap the CBCT detection image and the three-dimensional perspective model.

[0035] Embodiment 3:

[0036] The local tracking and amplification process includes the following parts:

[0037] B1: From the 3D perspective modeling process, obtain the mid-stack image generated in part A2;

[0038] B2: Match one tracking point and three marking points, and locate them in B1, separate the tooth image on the tracking point from the original image, and enlarge it locally.

[0039] Embodiment 4:

[0040] The root canal modeling and real-time detection process includes the following parts:

[0041] C1: After completing a root canal cleaning process, the three-dimensional perspective modeling process and the local tracking and magnification process are executed again, and the inside of the oral cavity is scanned again to obtain a new magnified image PIC1 of the tooth area to be treated;

[0042] C2: After the completion of part C1, the depth of the root canal file needle is based on the enlarged image generated in part C1, the root canal cleaning process is performed again, and the steps in part C1 are repeated to generate another enlarged image PIC2 of the tooth area to be treated;

[0043] C3: Overlap and compare the PIC2 image with the PIC1 image to obtain the penetration distance of the root canal file and the distance between the root canal orifice and the apical foramen in the PIC2 image.

[0044] The process is repeated no less than 2 times in the order of part C1, part C2 and part C3. In the root canal modeling and real-time detection process, a maximum critical value of the distance between the root canal orifice and the apical foramen is set.

[0045] Principle and advantages of use: During use, the present invention is described in turn according to Examples 2, 3, and 4:

[0046] In Example 2, the patient lies flat on a medical chair, with the patient's head area close to the dental CT machine, and under the guidance of the physician, the patient's oral cavity is scanned to obtain image information of the maxillary dentition, the mandibular dentition, and the left and right sides;

[0047] Subsequently, the image information generated by the above process is further analyzed under the calculation of the dental CT machine to obtain a three-dimensional perspective model, and the CBCT detection image and the three-dimensional perspective model are overlapped and combined to form a basic image. This is the normal operation step of the dental CT machine, which will not be described in detail here;

[0048] However, before filming, the doctor first places tracking positioning points on the teeth at the positions of the teeth to be treated, and then places three marking positioning points at the corresponding positions of the upper and lower teeth. Then, one tracking positioning point and three marking positioning points are combined into a three-dimensional figure, and one tracking positioning point and three marking positioning points can be directly displayed in the active basic image;

[0049] In Example 3, the basic image generated in Example 1 is directly sent to a computer terminal, and AR technology is used to quickly find a tracking positioning point in the basic image. The tooth area to be treated is separated from the basic image by a certain distance with the tracking positioning point as the center, and is enlarged to form another basic image, and the basic image of this part is directly displayed on the display screen;

[0050] In Example 4, first, the doctor uses the root canal file to clean the root canal of the tooth to be treated. During the process, the dental CT machine needs to be turned off. At the beginning, the penetration distance of the root canal file needle is short. After completing a section of root canal cleaning, the dental CT machine is turned on again, and the three-dimensional perspective modeling process and the local tracking and magnification process are re-executed to rewrite and scan the dentition after the root canal cleaning, and the area of ​​the tooth to be treated is magnified again. The formed image is set as PIC1, and the PIC1 image is compared with the basic image in Example 2, so that the depth of the root canal penetration can be obtained, and the data displayed in the image can reflect whether the root canal dredging has penetrated into the position of the apical foramen. For example, when the root canal preparation depth is not enough and the pulp or bacteria cannot be completely removed, the dental CT machine is turned off and the root canal cleaning action is performed again. During this process, it should be noted that the length of the root canal of this part needs to be based on the data displayed by the PIC1 image;

[0051] Subsequently, the PIC2 image will be obtained again, and the PIC1 image will be used as the basic image, and the PIC2 image will be compared with the PIC1 image. Through the comparison information between the two, the depth of root canal penetration will be further fed back. It should be noted that: when the root canal cleaning depth exceeds the maximum critical value of the distance between the root canal orifice and the apical foramen, the physician will be directly warned that the next step of root canal preparation cannot be performed. However, when the root canal cleaning depth does not reach the maximum critical value of the distance between the root canal orifice and the apical foramen, and the depth of root canal dredging cannot completely remove the pulp or bacteria, the root canal cleaning action will be performed again to generate and compare the PIC3 image until the pulp and contents can be completely removed without damaging the apical area of ​​the affected tooth.

[0052] In addition, it should be noted that during the root canal cleaning process, the patient needs to stand up and rinse his mouth, etc., so there will be a deviation in the position between the patient's head and the dental CT machine, which will cause inconvenience to the CT filming process. However, when taking pictures in a new position, because the captured image contains three marked positioning points, the marked positioning points can assist the computer to quickly find the tracking positioning points, so as to quickly find the position of the tooth to be treated.

[0053] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A three-dimensional perspective image root canal monitoring system based on AR, characterized in that: It includes three parts: 3D perspective modeling process, local tracking and magnification process, and root canal modeling real-time detection process; The three-dimensional perspective modeling process includes the following parts: A1: Before taking CT scans, place tracking points on the adjacent teeth of the tooth area to be treated. When the tooth area to be treated is located in the mandibular teeth, place marking points on the opposite side of the mandibular teeth and on the left and right points of the upper dentition. A2: Use CBCT machine to scan the oral cavity, generate CBCT images, and further generate 3D perspective models through CT machine, and completely overlap the CBCT detection images and 3D perspective models; The local tracking and amplification process includes the following parts: B1: From the 3D perspective modeling process, obtain the mid-stack image generated in part A2; B2: Match one tracking point and three marking points, locate them in B1, separate the tooth image at the tracking point from the original image, and magnify it locally; The root canal modeling and real-time detection process includes the following parts: C1: After completing a root canal cleaning process, the three-dimensional perspective modeling process and the local tracking and magnification process are executed again, and the inside of the oral cavity is scanned again to obtain a new magnified image PIC1 of the tooth area to be treated; C2: After the completion of part C1, the depth of the root canal file is based on the enlarged image generated in part C1, the root canal cleaning process is performed again, and the steps in part C1 are repeated to generate another enlarged image PIC2 of the tooth area to be treated; C3: Overlap and compare the PIC2 image with the PIC1 image to obtain the penetration distance of the root canal file and the distance between the root canal orifice and the apical foramen in the PIC2 image.

2. The AR-based three-dimensional perspective image root canal monitoring system according to claim 1, characterized in that: The sequence of Part C1, Part C2, and Part C3 must be repeated at least twice.

3. The AR-based three-dimensional perspective image root canal monitoring system according to claim 1, characterized in that: In the root canal modeling and real-time detection process, a maximum critical value of the distance between the root canal orifice and the apical foramen is set.

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