A virtual occlusion detection and design method and system based on intraoral three-dimensional scanning

Abstract

The application discloses a virtual occlusion detection and design method based on intraoral three-dimensional scanning and relates to the field of oral prosthetics. The application comprises the following steps: acquiring complete upper and lower dental arch data and static occlusion data of a patient in a static state; acquiring a dynamic motion trajectory of teeth by using the static occlusion data to correspond to the position of the teeth in a lower jaw motion in real time; combining the complete upper and lower dental arch data in the static state and the lower jaw motion trajectory to complete motion trajectory integration; drawing a boundary along a crown gum margin and an adjacent contact area in the static dental arch data to obtain a single tooth by segmentation; taking a crown cheek side as a common area, registering the segmented single tooth data to occlusion data one by one to obtain occlusion data after tooth-by-tooth registration; and designing a prosthesis based on the dental arch data and the occlusion data after tooth-by-tooth registration. The application can obtain accurate static and dynamic occlusion data and greatly improves the precision and efficiency of prosthesis design and production through automatic virtual occlusion detection and virtual adjustment.

Description

Technical Field

[0001] This invention relates to the field of oral restoration, and more specifically to a method and system for virtual occlusion detection and design based on intraoral three-dimensional scanning. Background Technology

[0002] The morphological design of the occlusal surface of prosthodontics is a crucial aspect of the field, impacting not only the restoration of masticatory function but also the stability of the entire stomatognathic system. The occlusal surface of the prosthesis should harmonize with the remaining teeth in the mouth, avoiding occlusal interference, restoring functional cusp-fossa morphology to rebuild masticatory function, adapting the occlusal wear surface to mandibular movement, and harmonizing the marginal ridge with adjacent teeth to prevent food impaction. With advancements in dental materials and minimally invasive techniques, the amount of abutment tooth preparation required is decreasing, placing higher demands on prosthodontic design. Therefore, designing prosthodontics with excellent occlusal function, reducing clinical adjustments, and lowering the failure rate are essential problems that every dentist must address.

[0003] With the improvement of accuracy and scanning speed of intraoral 3D scanners, their application in prosthetic design is becoming increasingly widespread. They can obtain high-resolution 3D data of teeth, which can then be used for prosthetic design and fabrication. However, currently, commercial intraoral scanners primarily capture static occlusal data, failing to record occlusal information in motion. The 3Shape intraoral 3D scanner introduced a dynamic occlusal function in 2017. Without additional devices or software, it can record localized dynamic occlusion during the acquisition of 3D dentition data and can be used for prosthetic design. However, the scanning head window of the intraoral 3D scanner is small, with each window only able to scan 1-2 tooth positions. When using the dynamic occlusal function, relying solely on the mandibular movement trajectory obtained from 1-2 tooth positions may lead to bias.

[0004] Furthermore, existing intraoral 3D scanning dynamic occlusion technology requires first scanning the maxillary and mandibular dentition data in a non-occlusal state, then having the patient bite down, and finally scanning the buccal morphology of the maxillary and mandibular dentition under occlusal force for registration. However, during buccal scanning, due to the occlusal force, the teeth undergo physiological movement, resulting in subtle changes in the dentition morphology. Theoretically, the tooth arrangement morphology obtained from the buccal scan in the occlusal state differs from the morphology of the previously scanned maxillary and mandibular dentition data. Therefore, registering the full dentition scan data in a non-occlusal state would result in cross-cutting between the upper and lower model data. Summary of the Invention

[0005] To address the aforementioned issues, this invention proposes a virtual occlusion detection and design method and system based on intraoral three-dimensional scanning. This method integrates multi-tooth movement trajectories and divides the posterior tooth region into individual teeth, registering them with occlusal information to reduce interference from physiological tooth movement during occlusion on restoration fabrication. Furthermore, virtual occlusion detection and automatic virtual adjustment are performed based on dynamic occlusal information from intraoral three-dimensional scanning, reducing clinical adjustments to restorations and improving the accuracy and efficiency of restoration fabrication.

[0006] To achieve the above objectives, the present invention adopts the following technical solution:

[0007] A virtual occlusion detection and design method based on intraoral three-dimensional scanning includes the following steps:

[0008] Obtain complete maxillary and mandibular dentition data and static occlusion data of the patient at rest;

[0009] By using static occlusion data to correspond in real time to the position of teeth during mandibular movement, the dynamic movement trajectory of teeth can be obtained.

[0010] By combining complete static data of the maxillary and mandibular dentition and fusing the mandibular movement trajectory, the movement trajectory integration is completed;

[0011] In static dentition data, boundaries are drawn along the crown-gingival margin and proximal contact area to segment individual teeth;

[0012] Using the buccal side of the crown as a common area, the segmented individual tooth data are registered one by one to the occlusal data to obtain the occlusal data after tooth-by-tooth registration;

[0013] The restoration was designed based on static dentition data and occlusal data after tooth-by-tooth registration.

[0014] Optionally, the static occlusion data should include buccal occlusion from the left and right premolars to the molars.

[0015] Optionally, the segmented single-tooth data can be registered one by one to the occlusal data. When obtaining the occlusal data after tooth-by-tooth registration, the best fitting algorithm can be used.

[0016] Optionally, motion trajectory integration specifically involves: using complete maxillary and mandibular dentition data in a static state, employing an optimal fitting algorithm to register the occlusion of the molar and premolar regions to the entire dentition, fusing the mandibular motion trajectory, and obtaining a record of the full-mouth dental guidance motion trajectory.

[0017] Optionally, restorations can be designed using restoration design software based on dentition data and occlusal data after tooth-by-tooth registration.

[0018] Optional features include virtual occlusion detection and virtual occlusion adjustment. Specifically, the software sets the contact strength between the restoration and the opposing tooth, calls up the mandibular movement trajectory, detects the occlusal contact between the dentition on the side of the restoration and the opposing tooth during protrusion and lateral movements, calculates the occlusal contact strength, automatically adjusts the occlusal surface morphology through Boolean operations and Laplace deformation, and removes occlusal interference points during mandibular movements to generate a functional restoration.

[0019] Optionally, an intraoral 3D scanner can be used to acquire complete data on the patient's maxillary and mandibular dentition and static occlusion at rest.

[0020] A virtual occlusion detection and design system based on intraoral three-dimensional scanning, comprising:

[0021] Oral data acquisition module: used to acquire complete maxillary and mandibular dentition data and static occlusion data of the patient in a static state;

[0022] Tooth motion trajectory acquisition module: Used to obtain the dynamic motion trajectory of teeth by using static occlusion data to correspond the position of teeth during mandibular movement in real time.

[0023] Tooth motion trajectory integration module: used to combine complete static maxillary and mandibular dentition data and fuse mandibular motion trajectories to complete motion trajectory integration;

[0024] Dental data segmentation module: used to draw boundaries along the crown-gingival margin and proximal contact area in static dentition data, and segment to obtain individual teeth;

[0025] Occlusal data acquisition module: It is used to register the segmented single tooth data to the occlusal data one by one, taking the buccal side of the crown as a common area, to obtain the occlusal data after tooth-by-tooth registration;

[0026] Restoration design module: used to design restorations based on static dentition data and occlusal data after tooth-by-tooth registration.

[0027] Optionally, it also includes a virtual occlusion detection and virtual occlusion adjustment module: used to set the contact strength between the restoration and the opposing teeth, call the mandibular movement trajectory, the software detects the occlusal contact between the dentition on the side of the restoration and the opposing teeth during protrusion and lateral movements, calculates the occlusal contact strength, automatically adjusts the occlusal surface morphology through Boolean operations and Laplace deformation, and removes occlusal interference points during mandibular movements to generate a functional restoration.

[0028] As can be seen from the above technical solution, compared with the prior art, this invention discloses a method and system for virtual occlusion detection and design based on intraoral three-dimensional scanning. It improves the way intraoral three-dimensional scanners acquire dynamic occlusion, obtaining accurate static and dynamic occlusion data. Through automatic virtual occlusion detection and virtual adjustment, it greatly improves the accuracy and efficiency of prosthesis design and fabrication. Furthermore, it automatically performs virtual occlusion detection and virtual adjustment of the prosthesis based on dynamic occlusion data, reducing clinical adjustments to the prosthesis and improving the accuracy and efficiency of prosthesis fabrication. Attached Figure Description

[0029] 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.

[0030] Figure 1 This is a schematic diagram of the process of the present invention;

[0031] Figure 2 This is a schematic diagram of the structure of the present invention. Detailed Implementation

[0032] 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.

[0033] This invention discloses a virtual occlusion detection and design method based on intraoral three-dimensional scanning, such as... Figure 1 As shown, it includes the following steps:

[0034] S1: Acquisition of static dentition data: An intraoral 3D scanner is used to scan the patient's complete maxillary and mandibular dentition data as well as static occlusion data, including buccal occlusion from the left and right premolars to the molars.

[0035] S2: Acquisition of Dynamic Motion Trajectory: After obtaining the static occlusal data, the intraoral scanner is first placed in the molar region. During mandibular movement, the static tooth information is registered with the current tooth position in real time, and the molar occlusal path is recorded in motion. Taking the cusp of a certain tooth as a reference, the initial position F = (Fx, Fy, Fz) is recorded, and the coordinates of other positions besides the initial position are S = (Sx, Sy, Sz). Through RT matrix transformation S = F*R + T, the mandibular motion trajectory can be recorded. After the molar region is scanned, the scanner is moved to the premolar region, with a certain overlap with the molar region, and the above steps are repeated to obtain the premolar occlusal path and mandibular motion trajectory in motion.

[0036] S3: Motion trajectory integration: Using static full dentition data as a common registration area, the best fitting algorithm is used to register the occlusion of the molar area and the premolar area to the full dentition, and the mandibular motion trajectory is fused to obtain a record of the full mouth dental guide motion trajectory.

[0037] S4: Tooth-by-tooth registration to occlusal data: In the static dentition data, boundaries are drawn along the crown-gingival margin and proximal contact area to segment individual teeth. Using the buccal side of the crown as a common region, the segmented individual tooth data are registered to the occlusal data one by one using the best-fit algorithm to obtain the tooth-by-tooth registered occlusal data.

[0038] S5: Restoration design: The restoration is designed in the restoration design software based on the dentition data and the occlusal data after tooth-by-tooth registration.

[0039] S6: Virtual Occlusal Detection and Virtual Occlusal Adjustment: Set the contact strength between the restoration and the opposing tooth, such as 0mm. Using the mandibular movement trajectory from step 3, the software detects the occlusal contact between the dentition on the side of the restoration and the opposing tooth during protrusion and lateral movements, and calculates the occlusal contact strength. A positive output value indicates data interference, representing a premature contact or interference zone; a zero output value indicates no contact between the restoration and the opposing tooth; a negative output value indicates a gap between the occlusal surfaces of the restoration and the opposing tooth. The occlusal surface morphology is automatically adjusted through Boolean operations and Laplace deformation to remove occlusal interference points during mandibular movements, thus generating a functional restoration.

[0040] This embodiment also discloses a virtual occlusion detection and design system based on intraoral three-dimensional scanning, such as... Figure 2 As shown, it includes:

[0041] Oral data acquisition module: used to acquire complete maxillary and mandibular dentition data and static occlusion data of the patient in a static state;

[0042] Tooth motion trajectory acquisition module: Used to obtain the dynamic motion trajectory of teeth by using static occlusion data to correspond the position of teeth during mandibular movement in real time.

[0043] Tooth motion trajectory integration module: used to combine complete static maxillary and mandibular dentition data and fuse mandibular motion trajectories to complete motion trajectory integration;

[0044] Dental data segmentation module: used to draw boundaries along the crown-gingival margin and proximal contact area in static dentition data, and segment to obtain individual teeth;

[0045] Occlusal data acquisition module: It is used to register the segmented single tooth data to the occlusal data one by one, taking the buccal side of the crown as a common area, to obtain the occlusal data after tooth-by-tooth registration;

[0046] Restoration design module: used to design restorations based on static dentition data and occlusal data after tooth-by-tooth registration.

[0047] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on its differences from other embodiments. Similar or identical parts between embodiments can be referred to interchangeably. For the apparatus disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple; relevant parts can be referred to the method section.

[0048] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. 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 virtual occlusion detection and design method based on intraoral three-dimensional scanning, characterized by, The method comprises the following steps: Obtaining complete upper and lower dental arch data and static occlusion data of a patient in a static state; Obtaining a dynamic movement trajectory of teeth by using the static occlusion data to correspond to the position of the teeth in real time when the lower jaw moves; Combining the complete upper and lower dental arch data in the static state and the lower jaw movement trajectory to complete movement trajectory integration; In the static dental arch data, boundaries are drawn along the crown gum line and the proximal contact area to obtain single teeth by segmentation; The segmented single tooth data is registered to the occlusion data one by one with the crown buccal side as the common area to obtain occlusion data after tooth-by-tooth registration; Designing a restoration based on the static dental arch data and the occlusion data after tooth-by-tooth registration; The static occlusion data should include the buccal occlusion of the left and right premolars to molars.

2. The virtual occlusion detection and design method based on intraoral three-dimensional scanning according to claim 1, characterized in that, When the segmented single tooth data is registered to the occlusion data one by one to obtain occlusion data after tooth-by-tooth registration, the best fitting algorithm is used.

3. The virtual occlusion detection and design method based on intraoral three-dimensional scanning according to claim 1, characterized in that, The movement trajectory integration is specifically: using the complete upper and lower dental arch data in the static state, the occlusion of the molar area and the premolar area is registered to the full dental arch by the best fitting algorithm, and the lower jaw movement trajectory is fused to obtain a record of the full mouth tooth guide movement trajectory.

4. The virtual occlusion detection and design method based on intraoral three- dimensional scanning according to claim 1, characterized in that, Designing a restoration based on the dental arch data and the occlusion data after tooth-by-tooth registration.

5. The virtual occlusion detection and design method based on intraoral three- dimensional scanning according to claim 1, characterized in that, Obtaining complete upper and lower dental arch data, static occlusion data and dynamic occlusion data of a patient in a static state by using an intraoral three-dimensional scanner.

6. The virtual occlusion detection and design method based on intraoral three- dimensional scanning according to claim 1, characterized in that, It comprises:

7. A virtual occlusion detection and design system based on intraoral three-dimensional scanning, characterized by, An oral data acquisition module for obtaining complete upper and lower dental arch data and static occlusion data of a patient in a static state; A tooth movement trajectory acquisition module for obtaining a dynamic movement trajectory of teeth by using the static occlusion data to correspond to the position of the teeth in real time when the lower jaw moves; A tooth movement trajectory integration module for combining the complete upper and lower dental arch data in the static state and the lower jaw movement trajectory to complete movement trajectory integration; A dental arch data segmentation module for drawing boundaries along the crown gum line and the proximal contact area in the static dental arch data to obtain single teeth by segmentation; An occlusion data acquisition module for registering the segmented single tooth data to the occlusion data one by one with the crown buccal side as the common area to obtain occlusion data after tooth-by-tooth registration; A restoration design module for designing a restoration based on the static dental arch data and the occlusion data after tooth-by-tooth registration; It also comprises a virtual occlusion detection and virtual adjustment module for setting the contact strength between the restoration and the opposite teeth, calling the lower jaw movement trajectory, and detecting the occlusion contact between the side dental arch with the restoration and the opposite teeth during protrusion and lateral movement by software, calculating the occlusion contact strength, automatically adjusting the occlusion surface morphology by Boolean operation and Laplace deformation, removing the occlusion interference points in the lower jaw movement process, and generating a functional restoration. ​

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