Simulation device and simulation method for articulator mold

Abstract

A simulation device for an occlusal appliance mold includes a transceiver circuit and a processor. The transceiver circuit acquires multiple three-dimensional models of the patient's dental arch, multiple stereoscopic radiographic images, multiple digital facial scan images, and multiple mandibular movement trajectories from a scanning modeling device, an image imaging device, and a face and motion sensing device. The processor performs the following actions: combining the multiple three-dimensional models of the dental arch, the multiple stereoscopic radiographic images, and the multiple digital facial scan images to create a three-dimensional model of the patient's skeleton; setting the right condyle, left condyle, and incisal point on the skeletal model to calculate the multiple mandibular movement trajectories to obtain the Oman Gilbach's articulation parameters of the patient's mandible; creating a target three-dimensional model of the patient's dental arch based on the parameters; and creating an occlusal appliance mold based on the target three-dimensional model of the dental arch.

Claims

1. A simulation device for an occlusal appliance mold, used to create an occlusal appliance mold for a patient, comprising: A transceiver circuit configured to receive multiple 3D dental arch models corresponding to various occlusal states of the patient from a scanning modeling device, multiple stereoscopic radiographic images corresponding to the various occlusal states from an imaging device, multiple digital facial scan images of the patient from a face and motion sensing device, and multiple mandibular movement trajectories of the patient from the face and motion sensing device; a memory configured to store multiple instructions; and a processor electrically connected to the transceiver circuit and the memory, configured to execute the multiple instructions to perform the following actions: Action a) Combining the multiple 3D dental arch models, the multiple stereoscopic radiographic images, and the multiple digital facial scan images to construct a skeletal 3D model of the patient, wherein the skeletal 3D model includes at least a 3D image of one of the patient's teeth; Action b) Setting a right condyle at a right condyle joint and a left condyle at a left condyle joint in the skeletal 3D model, and setting all endpoints at the apex of the mandibular incisors in the skeletal 3D model; Action c) Based on the right condyle point, the left condyle point, and the incisal point, the multiple mandibular movement trajectories are calculated to obtain personalized parameters for the patient, wherein the personalized parameters include at least one Amanngirrbach Articulator Parameter for the patient's mandible; Action d) Modify one of the multiple dental arch stereoscopic models according to the personalized parameters to establish a target dental arch stereoscopic model for the patient; and Action e) Establish an occlusal appliance mold suitable for the patient based on the target dental arch stereoscopic model.

2. The simulating device for the bite mold as claimed in claim 1, wherein the personalized parameters include at least a protruding condylar guide angle, a lateral condylar guide angle, an immediate lateral shift, a lateral tangential guide angle, and a protruding tangential guide angle for the patient's mandible.

3. The simulation device for the bite mold as claimed in claim 1, wherein the scanning modeling device is an intraoral scanner, the imaging device is a cone beam computed tomography (CBCT) scanner, and the plurality of stereoscopic radiographic images are cone beam computed tomography images based on the Digital Imaging and Communications in Medicine (DICOM) standard.

4. The simulation device for the bite mold as claimed in claim 1, wherein the plurality of digital facial scan images correspond to an open mouth state and a closed mouth state of the patient, the plurality of three-dimensional dental model images and the plurality of three-dimensional radiographic images correspond to a natural bite state of the patient, a positioning state when biting a vertical intraoral locator, and a horizontal maximum distance state in which the mandible is extended forward to the furthest point along a horizontal plane parallel to the ground.

5. The simulating device for an occlusal mold as claimed in claim 1, wherein the face and motion sensing device includes a sensing module and a plurality of sensing patches respectively applied to an upper row of teeth and a lower row of teeth of the patient, the sensing module including a combination of at least two of a color camera (RGB camera), an infrared sensor, an infrared projector, a depth camera and a radar sensor, the face and motion sensing device being configured to use the sensing module to sense the plurality of sensing patches when the patient moves the jaw, so as to record and generate the plurality of jaw movement trajectories.

6. The simulating device for the bite mold as claimed in claim 5, wherein the plurality of mandibular movement trajectories correspond to the movement trajectories of the patient's mandible when performing a protrusion movement, a leftward movement, a rightward movement, and a Posselt movement.

7. The simulating device for the bite mold as claimed in claim 6, wherein the processor is further configured to calculate a set of slopes based on the mandibular movement trajectory generated by the protrusion movement, the left side movement, the right side movement, and the Posselt movement, and to calculate the personalized parameters based on the slopes, wherein each set of slopes includes a right condyle slope, a left condyle slope, and an all-endpoint slope, the processor calculating the right condyle slope based on an origin and a farthest point of movement of the right condyle, calculating the left condyle slope based on an origin and a farthest point of movement of the left condyle, and calculating the tangent point slope based on an origin and a farthest point of movement of the tangent point.

8. The simulation device for an occlusal mold as claimed in claim 1, wherein the plurality of dental stereoscopic models, the plurality of stereoscopic radiographic images and the plurality of digital facial scan images each contain a local image of the patient’s teeth, and the processor is configured to create the skeletal stereoscopic model based on the teeth by combining the plurality of dental stereoscopic models, the plurality of stereoscopic radiographic images and the plurality of digital facial scan images.

9. The simulating device for an occlusal mold as claimed in claim 1, wherein the processor is further configured to calculate the patient's facial asymmetry based on the plurality of digital facial scan images, the right condyle, the left condyle, and the incision point, in order to update the patient's personalized parameters.

10. The simulating device for an occlusal mold as claimed in claim 1, wherein the processor is further configured to perform the following actions: action c1) after action c), determining whether the personalized parameter falls within a pre-stored parameter standard in the memory, wherein the parameter standard records the Oman Gilbach jaw parameters suitable for the patient using the occlusal mold; action c2) if it is determined that the personalized parameter does not fall within the parameter standard, outputting a message recommending that the patient undergo surgery; and action c3) if it is determined that the personalized parameter falls within the parameter standard, then performing actions d) and e).

11. A method for simulating an occlusal appliance mold for creating an occlusal appliance mold for a patient, comprising: Step a) Receive multiple three-dimensional dental arch models corresponding to various occlusal states of the patient from a scanning modeling device; Step b) Receive multiple stereoscopic radiographic images corresponding to the various occlusal states from an imaging device; Step c) Obtain multiple digital facial scan images of the patient from a face and motion sensing device, and obtain multiple mandibular movement trajectories of the patient; Step d) A processor combines the multiple three-dimensional dental arch models, the multiple stereoscopic radiographic images, and the multiple digital facial scan images to construct a three-dimensional skeletal model of the patient, wherein the skeletal model includes at least a three-dimensional image of one of the patient's teeth; Step e) Set a right condyle point at a right condyle joint and a left condyle point at a left condyle joint in the skeletal model, and set all endpoints at the apex of the mandibular incisors in the skeletal model; Step f) Based on the right condyle point, the left condyle point, and the incisal point, the multiple mandibular movement trajectories are calculated to obtain personalized parameters for the patient, wherein the personalized parameters include at least one Oman Gilbach mandibular articulation parameter for the patient; step g) modify one of the multiple dental arch stereoscopic models according to the personalized parameters to establish a target dental arch stereoscopic model for the patient; and step h) establish an occlusal appliance mold suitable for the patient based on the target dental arch stereoscopic model.

12. The method for simulating an occlusal mold as claimed in claim 11, wherein the personalized parameters include at least a protruding condylar guide angle, a lateral condylar guide angle, an immediate lateral shift, a lateral tangential guide angle, and a protruding tangential guide angle for the patient's mandible.

13. The method for simulating an occlusal mold as claimed in claim 11, wherein step a) includes receiving the plurality of three-dimensional model images of the dental arches from an intraoral scanner, and step b) includes receiving a plurality of DICOM-based CBCT images from a CBCT scanner.

14. The method for simulating an occlusal mold as claimed in claim 11, wherein the plurality of digital facial scan images correspond to an open mouth state and a closed mouth state of the patient, the plurality of three-dimensional dental model images and the plurality of three-dimensional radiographic images correspond to a natural occlusal state of the patient, a positioning state when biting a vertical intraoral locator, and a horizontal maximum distance state in which the mandible is extended forward along a horizontal plane parallel to the ground to the furthest point.

15. A method for simulating an occlusal mold as claimed in claim 11, wherein the face and motion sensing device includes a sensing module and a plurality of sensing patches respectively applied to an upper row of teeth and a lower row of teeth of the patient, the sensing module including a combination of at least two of a color camera, an infrared sensor, an infrared projector, a depth camera and a radar sensor, and step c) includes the face and motion sensing device using the sensing module to sense the plurality of sensing patches when the patient moves the jaw, so as to record and generate the plurality of jaw movement trajectories.

16. The method for simulating an occlusal mold as claimed in claim 15, wherein the plurality of mandibular movement trajectories correspond to the movement trajectories of the patient's mandible when performing a protrusion movement, a leftward movement, a rightward movement, and a Posselt movement.

17. A method for simulating a bite mold as described in claim 16, wherein step g) comprises: Step g1) Calculate a set of slopes based on the mandibular movement trajectory generated by the patient's protrusion movement, left-side movement, right-side movement, and Posselt movement, wherein each set of slopes includes a right condyle slope, a left condyle slope, and all endpoint slopes; and step g2) Calculate the personalized parameter based on these slopes; wherein step g1) includes calculating the right condyle slope based on an origin and a farthest movement point of the right condyle, calculating the left condyle slope based on an origin and a farthest movement point of the left condyle, and calculating the tangential endpoint slope based on an origin and a farthest movement point of the tangential endpoint.

18. The method for simulating an occlusal mold as claimed in claim 11, wherein the plurality of dental stereoscopic models, the plurality of stereoscopic radiographic images and the plurality of digital facial scan images each contain a local image of the patient’s teeth, and in step d), the processor combines the plurality of dental stereoscopic models, the plurality of stereoscopic radiographic images and the plurality of digital facial scan images to construct the skeletal stereoscopic model based on the teeth.

19. The method for simulating an occlusal mold as described in claim 11, further comprising a step f01): the processor calculating the patient's facial asymmetry based on the plurality of digital facial scan images, the right condyle, the left condyle, and the incision point; wherein, Step f) also includes updating the patient's personalized parameters based on the facial asymmetry.

20. The method for simulating an occlusal mold as claimed in claim 11, further comprising the following steps: step f1) after step f1), determining whether the personalized parameter falls into a parameter standard pre-stored in a memory, wherein the parameter standard records the Oman Gilbach jaw parameters of a patient suitable for using the occlusal mold; step f2) if it is determined that the personalized parameter does not fall into the parameter standard, outputting a message recommending that the patient undergo surgery; and step f3) if it is determined that the personalized parameter falls into the parameter standard, then performing action g) and action h).

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