A precision verification method for oral bone fenestration

Abstract

The application discloses a precision verification method for oral bone windowing, and is applied to the technical field of bone windowing precision evaluation. The method comprises the following steps: collecting CBCT image data of a patient, and completing preoperative design of bone windowing based on the CBCT image data; after bone windowing is completed in tooth extraction under navigation guidance, using an oral scanning system to scan a surgical area, and acquiring oral scanning image data of the surgical area; fitting the oral scanning image data of the surgical area with the preoperative design based on the CBCT image data after tooth extraction under navigation guidance; marking the boundary of bone windowing by using an image marking tool; and verifying the precision of oral bone windowing based on the boundary of bone windowing. The method can collect bone windowing data in the same period in operation, does not need to shoot CBCT after operation, reduces the examination times of the patient, and further reduces the radiation suffered by the patient and the examination cost.

Description

Technical Field

[0001] This invention relates to the field of bone fenestration accuracy evaluation technology, and more specifically to a method for verifying the accuracy of oral bone fenestration. Background Technology

[0002] Intraoral Scanning (IOS) represents a key advancement in modern digital dental care. Its core lies in utilizing advanced optical imaging principles (such as structured light, confocal microscopy, or parallel confocal imaging), combined with high-speed miniature image sensors and powerful real-time processing algorithms, to directly and non-contactly acquire high-precision three-dimensional digital models (digital impressions) of the surfaces of teeth, soft tissues, and some bone tissues within the patient's oral cavity. Compared to traditional silicone rubber impressions, IOS technology offers significant advantages such as ease of operation, high patient comfort, rapid data acquisition, and real-time visualization. Furthermore, IOS technology avoids potential sources of error arising from impression material deformation and sterilization processes. Currently, IOS technology is widely used in dental restoration, implant guide design, and orthodontic treatment planning, providing a reliable three-dimensional data foundation for dental clinical decisions with its sub-millimeter (typically reaching tens of micrometers) precision. However, in the field of refined and quantitative assessment of bone fenestration in navigation-guided tooth extraction, traditional CT-based accuracy assessment suffers from ionizing radiation, difficulty in real-time chairside operation, and limited resolution of three-dimensional images for thin-slice bone structures. These limitations often fail to meet the urgent clinical need for non-invasive, efficient, and high-precision quantitative analysis of the location, extent, and morphology of bone defects. Therefore, providing a method for verifying the accuracy of oral bone fenestration based on intraoral scanning technology is a problem that urgently needs to be solved by those skilled in the art. Summary of the Invention

[0003] In view of this, the present invention provides a method for verifying the accuracy of oral bone fenestration, which uses intraoral scanning to obtain bone fenestration information for evaluating the accuracy of navigation guidance, and completes image acquisition during the operation, reducing the examination burden and radiation exposure of patients.

[0004] To achieve the above objectives, the present invention provides the following technical solution:

[0005] A method for verifying the accuracy of oral bone fenestration includes the following steps:

[0006] S1. Collect the patient's CBCT image data and complete the preoperative design of bone fenestration based on the CBCT image data;

[0007] S2. After completing the bone fenestration during the navigation-guided tooth extraction, use an oral scanning system to scan the surgical area and obtain oral scanning image data of the surgical area.

[0008] S3. After tooth extraction under navigation guidance, the intraoral scan images of the surgical area are fitted with the preoperative design based on CBCT image data;

[0009] S4. Use the image annotation tool to annotate the boundaries of the bone window;

[0010] S5. Verify the accuracy of oral bone fenestration based on the boundary of bone fenestration.

[0011] Optionally, S1 is as follows:

[0012] Before surgery, the patient wore a navigation system registration U-tube for CBCT scanning to obtain CBCT image data for preoperative design. Based on the CBCT image data, the bone fenestration design for the navigation-guided tooth extraction was completed on the Dekel navigation design system.

[0013] Optionally, in S3, the surgical area scan image and CBCT image data are fitted using an optimal matching algorithm.

[0014] Optional, S5 specifically includes:

[0015] The distance between the preoperatively designed bone fenestration boundary and the actual bone fenestration boundary was measured using ImageJ, and the cross-union ratio of the preoperatively designed bone fenestration area and the actual bone fenestration area was calculated.

[0016] The fitted image was imported into the Dekel accuracy verification software to measure the distance offset, angle offset, length offset, and boundary overlap between the preoperatively designed bone window boundary and the actual intraoperative bone window boundary.

[0017] Optionally, the accuracy verification of oral bone fenestration in S5 also includes:

[0018] The preoperative designed bone opening depth and the actual bone opening depth were measured, and the difference between the preoperative designed bone opening depth and the actual bone opening depth was calculated. Specifically, the bone opening boundary was divided into multiple sides, and multiple key points were evenly selected on each side. The difference between the designed bone opening depth and the actual bone opening depth at the key points, the average difference and standard deviation of all key points on each side, and the average difference and standard deviation of the entire bone opening boundary were calculated.

[0019] As can be seen from the above technical solution, compared with the prior art, the present invention provides a method for verifying the accuracy of oral bone fenestration, which has the following beneficial effects: The present invention can achieve the acquisition of bone fenestration data during the operation while ensuring the accuracy of verification, without the need for CBCT, reducing the number of examinations for patients, thereby reducing the radiation received by patients and reducing the cost of examination. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0021] Figure 1 This is a flowchart of the method for verifying the accuracy of oral bone fenestration according to the present invention.

[0022] Figure 2 This is a schematic diagram of the arithmetic area intersection-union ratio of the present invention;

[0023] Figure 3 This is a schematic diagram illustrating the accuracy verification of postoperative bone fenestration according to the present invention;

[0024] Figure 4 This is a schematic diagram of the oral scan image data of the present invention;

[0025] Figure 5 This is a schematic diagram of the preoperative bone fenestration design of the present invention;

[0026] Figure 6 This is a schematic diagram of the preoperative design scheme for bone fenestration and the fitting of intraoperative intraoral scan images according to the present invention;

[0027] Figure 7 This is a schematic diagram of the bone opening in the 3D printed model in an embodiment of the present invention;

[0028] Figure 8 This is a schematic diagram of fitting the 3D printed model's oral scan image and CBCT image in an embodiment of the present invention;

[0029] Figure 9 This is a schematic diagram illustrating the accuracy verification of bone windowing in a 3D printed model according to an embodiment of the present invention. Detailed Implementation

[0030] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0031] This invention discloses a method for verifying the accuracy of oral bone fenestration, such as... Figure 1 As shown, it includes the following steps:

[0032] S1. Acquire the patient's CBCT image data and complete the preoperative design for bone fenestration based on the CBCT image data. The preoperative bone fenestration design is as follows: Figure 5 As shown;

[0033] S2. After bone fenestration is completed during the navigation-guided tooth extraction, an intraoral scanning system is used to scan the surgical area and acquire intraoral scanning image data of the surgical area. The intraoral scanning image data is as follows: Figure 4 As shown;

[0034] S3. After tooth extraction under navigation guidance, the intraoral scan images of the surgical area are fitted with the preoperative design based on CBCT image data;

[0035] S4, such as Figure 6 As shown, the boundaries of the bone window are marked using an image annotation tool;

[0036] S5. Verify the accuracy of oral bone fenestration based on the boundary of bone fenestration.

[0037] Furthermore, S1 specifically refers to:

[0038] Before surgery, the patient wore a navigation system registration U-tube for CBCT scanning to obtain CBCT image data for preoperative design. Based on the CBCT image data, the bone fenestration design for the navigation-guided tooth extraction was completed on the Dekel navigation design system.

[0039] Furthermore, in S3, the surgical area scan image and CBCT image data are fitted using the best matching algorithm.

[0040] Furthermore, S5 specifically refers to:

[0041] like Figure 2 As shown, the distance between the preoperatively designed bone window boundary and the actual bone window boundary was measured using ImageJ, and the cross-union ratio of the preoperatively designed bone window area and the actual bone window area was calculated.

[0042] The fitted image was imported into the Dekel accuracy verification software to measure the distance offset, angle offset, length offset, and boundary overlap between the preoperatively designed bone window boundary and the actual intraoperative bone window boundary.

[0043] Distance offset, angle offset, and length offset are used to evaluate the accuracy of key points in window openings; the boundary coincidence is calculated as: coincidence boundary length / total boundary length × 100%, and the consistency of the overall contour is evaluated through boundary coincidence.

[0044] In one embodiment of the present invention, such as Figure 3 As shown, the vertices of the actual bone window boundary are A, B, C, and D, and the designed bone window boundary is A, B, C', and D'. The deviation angle of the lower boundary is α, and ① and ② are the distance offsets of the vertices.

[0045] Furthermore, the accuracy verification of oral bone fenestration in S5 also includes:

[0046] The preoperative designed bone opening depth and the actual bone opening depth are measured, and the difference between the preoperative designed bone opening depth and the actual bone opening depth is calculated. Specifically, the bone opening boundary is divided into multiple sides, and multiple key points are evenly selected on each side. The difference between the designed bone opening depth and the actual bone opening depth of the key points, the average difference and standard deviation of all key points on each side, and the average difference and standard deviation of the entire bone opening boundary are calculated. By calculating the error of key points, different sides, and the overall bone opening boundary, the accuracy of the depth of key points, partial areas, and the entire bone opening can be evaluated separately.

[0047] Furthermore, in one embodiment of the present invention, an experiment was conducted to verify the accuracy of oral bone fenestration. In this embodiment, the intraoral scanning device used was the 3Shape intraoral scanning system (Trios5, Denmark, 3Shape); the CBCT device used was the NewTom CBCT System (Quantitative Radiology, Verona, Italy).

[0048] In this embodiment, the accuracy of fenestration is verified based on the extraction of impacted teeth in the maxillary anterior region. Preoperatively, a NewTom CBCT system is used to perform maxillofacial scans on the patient to obtain imaging data for preoperative extraction planning. The surgical fenestration plan is designed using the Dekel navigation design system. A 3D printed model is then fabricated based on this plan, and the fenestration is performed on the model. The 3D printed model after fenestration is shown below. Figure 7 As shown. Then, the model underwent CBCT scanning and intraoral scanning. The acquired images were fitted using an optimal matching algorithm, and the vertices of the actual windowing in the intraoral scan images were labeled using an image annotation tool. The intraoral scan images and the fitted images based on the preoperative design using CBCT are shown below. Figure 8 As shown, the Dekel accuracy verification system was used to add annotations to the window boundaries in the intraoral scan images of the fitted images. The deviations in distance, angle, and length of the window boundaries in the preoperative design and intraoral scan system images were compared. The accuracy verification was as follows: Figure 9 As shown. In this embodiment, the principle of the method for verifying the accuracy of oral bone fenestration using a 3D printed model is explained. In actual verification, the patient's oral scan data is collected and fitted with the preoperative design of CBCT to verify the accuracy.

[0049] In this embodiment, the distances between the upper mesial vertex, lower mesial vertex, upper distal mesial vertex, and lower distal distal mesial vertex in the intraoral scan image and CBCT image of the model with fenestration are all less than 1 mm, and the angular deviations of the mesial edge, distal edge, upper boundary, and lower boundary are all less than 1°. It can be seen that when using the intraoral scan system in this embodiment to verify the accuracy of navigation-guided fenestration extraction of maxillary anterior supernumerary teeth and mandibular wisdom teeth, its accuracy is not significantly different from CBCT, and it can replace CBCT for postoperative accuracy verification.

[0050] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0051] Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for verifying the accuracy of oral bone fenestration, characterized in that, Includes the following steps: S1. Collect the patient's CBCT image data and complete the preoperative design of bone fenestration based on the CBCT image data; S2. After completing the bone fenestration during the navigation-guided tooth extraction, use an oral scanning system to scan the surgical area and obtain oral scanning image data of the surgical area. S3. After tooth extraction under navigation guidance, the intraoral scan images of the surgical area are fitted with the preoperative design based on CBCT image data; S4. Use the image annotation tool to annotate the boundaries of the bone window; S5. Verify the accuracy of oral bone fenestration based on the boundary of bone fenestration.

2. The method for verifying the accuracy of oral bone fenestration according to claim 1, characterized in that, S1 specifically refers to: Before surgery, the patient wore a navigation system registration U-tube for CBCT scanning to obtain CBCT image data for preoperative design. Based on the CBCT image data, the bone fenestration design for the navigation-guided tooth extraction was completed on the Dekel navigation design system.

3. The method for verifying the accuracy of oral bone fenestration according to claim 1, characterized in that, In S3, the surgical area scan image and CBCT image data are fitted using the best matching algorithm.

4. The method for verifying the accuracy of oral bone fenestration according to claim 1, characterized in that, S5 specifically refers to: The distance between the preoperatively designed bone fenestration boundary and the actual bone fenestration boundary was measured using ImageJ, and the cross-union ratio of the preoperatively designed bone fenestration area and the actual bone fenestration area was calculated. The fitted image was imported into the Dekel accuracy verification software to measure the distance offset, angle offset, length offset, and boundary overlap between the preoperatively designed bone window boundary and the actual intraoperative bone window boundary.

5. The method for verifying the accuracy of oral bone fenestration according to claim 4, characterized in that, The accuracy verification of oral bone fenestration in S5 also includes: The preoperative designed bone opening depth and the actual bone opening depth were measured, and the difference between the preoperative designed bone opening depth and the actual bone opening depth was calculated. Specifically, the bone opening boundary was divided into multiple sides, and multiple key points were evenly selected on each side. The difference between the designed bone opening depth and the actual bone opening depth at the key points, the average difference and standard deviation of all key points on each side, and the average difference and standard deviation of the entire bone opening boundary were calculated.

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