Tooth root bone risk assessment method and device and storage medium

Abstract

The embodiment of the invention provides a tooth root bone risk assessment method and equipment and a storage medium, which are used for efficiently and accurately assessing the tooth root bone risk of a patient. The method comprises the following steps: acquiring a first root bone model of a patient, wherein the first root bone model comprises a dental crown model and a tooth root model corresponding to each tooth of the patient and a jaw bone model of the patient; according to the first root bone model, determining a first root bone relation characteristic quantity of each tooth of the patient; wherein the first root bone relationship characteristic quantity is used for representing a geometrical relationship between a tooth root model and a jaw bone model corresponding to the tooth in the first root bone model; according to the first root bone relation characteristic quantity of all the teeth of the patient, the root bone risk condition of the teeth in the first root bone model is evaluated, and therefore the root bone risk of the teeth of the patient can be efficiently and accurately evaluated.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of orthodontics, and more particularly to methods, devices and storage media for assessing root bone risk of teeth. Background Technology

[0002] During orthodontic treatment, dentists need to observe the patient's root bone condition and assess related risks based on the relative relationships between the roots. For example, traditional methods require cone-beam computed tomography (CBCT) scans of the oral and maxillofacial region to obtain craniofacial images, which are then used to assess root bone risk. These root bone risk assessment methods lack quantitative references, are easily influenced by the dentist's subjectivity, and are susceptible to the viewing angle, requiring constant adjustments and being time-consuming and labor-intensive. Summary of the Invention

[0003] This invention provides a method, device, and storage medium for assessing the root bone risk of teeth, enabling efficient and accurate assessment of the root bone risk of patients' teeth.

[0004] In a first aspect, embodiments of this application provide a method for assessing the root bone risk of teeth, applied to an electronic device. The method includes: acquiring a first root bone model of a patient, the first root bone model including a crown model, a root model, and a jawbone model corresponding to each tooth of the patient; determining the first root bone relationship feature quantity of each tooth of the patient based on the first root bone model; wherein, the first root bone relationship feature quantity is used to characterize the geometric relationship between the root model and the jawbone model corresponding to the tooth in the first root bone model; and assessing the root bone risk of the teeth in the first root bone model based on the first root bone relationship feature quantities of all teeth of the patient.

[0005] In this embodiment, the geometric relationship between the tooth root model and the jawbone model corresponding to the patient's tooth in the first bone model is quantified by using the first bone relationship feature quantity. Then, based on the first bone relationship feature quantity of each tooth of the patient, the root bone risk of the tooth in the first bone model is evaluated, thereby assisting doctors to achieve efficient and accurate assessment of the root bone risk of the patient's teeth.

[0006] In one possible implementation, the first root bone relation feature of the target tooth includes at least one of the following first features: the area of ​​the root model corresponding to the target tooth exposed outside the jawbone model corresponding to the target tooth in the first root bone model; the volume of the root model corresponding to the target tooth exposed outside the jawbone model corresponding to the target tooth in the first root bone model; and the first distance between the sampling point on the root model corresponding to the target tooth in the first root bone model and the jawbone model corresponding to the target tooth near the labial edge.

[0007] In one possible implementation, the first root bone relationship feature includes at least one first feature, each first feature corresponding to a first set value. Based on the first root bone relationship features of all the patient's teeth, the root bone risk of the teeth in the first root bone model is assessed, including: for the patient's target tooth, which is any tooth in the patient's dentistry, performing the following: determining the ratio between each first feature and its corresponding first set value based on the at least one first feature included in the first root bone relationship feature of the target tooth; determining the root bone risk of the target tooth based on the ratios corresponding to the at least one first feature; and assessing the root bone risk of the teeth in the first root bone model based on the root bone risk of each of the patient's teeth.

[0008] In one possible implementation, determining the root bone risk of the target tooth based on the ratios corresponding to at least one first feature quantity includes: determining the root bone risk of the target tooth based on the risk level of the target tooth and / or the risk coefficient of the target tooth; wherein the risk level of the target tooth is determined based on one or more ratios corresponding to at least one first feature quantity, for example, the risk level is determined based on the largest ratio among the ratios corresponding to at least one first feature quantity; the risk coefficient of the target tooth is obtained by calculation based on the ratios corresponding to at least one first feature quantity, for example, by weighted averaging the ratios corresponding to at least one first feature quantity.

[0009] In one possible implementation, the method further includes: obtaining a second apical model of the patient, which is different from the first apical model; for a target tooth of the patient, which is any tooth in the patient's teeth, performing the following: determining the second apical relationship feature of the target tooth based on the second apical model; determining the apical relationship difference of the target tooth based on the first apical relationship feature and the second apical relationship feature of the target tooth; and assessing the change in apical risk between the first apical model and the second apical model for each tooth of the patient based on the apical relationship difference corresponding to each tooth of the patient.

[0010] In one possible implementation, the first root bone relationship feature includes at least one first feature, and the second root bone relationship feature includes at least one second feature, with a one-to-one correspondence between the at least one first feature and the at least one second feature. The method involves determining the root bone relationship difference for the target tooth based on the first and second root bone relationship features, including: determining the root bone relationship difference between each first feature included in the first root bone relationship feature and its corresponding second feature in the second root bone relationship feature, thus obtaining at least one root bone relationship difference. Based on the root bone relationship difference for each of the patient's teeth, the method assesses the change in root bone risk for each of the patient's teeth between the first and second root bone models, including: determining the ratio between each root bone relationship difference for the target tooth and its corresponding second set value; determining the change in root bone risk for the target tooth based on the ratio corresponding to at least one root bone relationship difference for the target tooth; and assessing the change in root bone risk for each of the patient's teeth between the first and second root bone models based on the change in root bone risk for each of the patient's teeth.

[0011] In one possible implementation, the risk change of the target tooth's root bone is determined based on the ratios corresponding to at least one root bone relationship difference, including: determining the risk change of the target tooth's root bone based on the risk level of the target tooth and / or the risk coefficient of the target tooth; wherein, the risk level of the target tooth is determined based on one or more ratios corresponding to at least one root bone relationship difference, for example, the risk level is determined based on the largest ratio among the ratios corresponding to at least one root bone relationship difference; the risk coefficient of the target tooth is calculated based on the ratios corresponding to at least one root bone relationship difference, for example, the risk coefficient is obtained by weighted averaging the ratios corresponding to at least one root bone relationship difference.

[0012] In one possible implementation, obtaining a second root bone model of the patient includes: adjusting the position of at least one tooth in the first root bone model, and / or adjusting the position of the jawbone in the first root bone model to obtain a second root bone model.

[0013] In one possible implementation, the first root bone model is the root bone model corresponding to the patient's current intraoral state, and the second root bone model is the root bone model corresponding to the reference orthodontic step in the treatment plan. The method further includes: based on the changes in root bone risk of each tooth of the patient between the first and second root bone models, if it is determined that the root bone risk of the first root bone model is higher than that of the second root bone model, the tooth position or jawbone position in the third root bone model corresponding to the first orthodontic step is adjusted to obtain a fourth root bone model; the root bone risk of the fourth root bone model is lower than that of the third root bone model, and the first orthodontic step is the orthodontic step in the treatment plan that is located after the reference orthodontic step.

[0014] In one possible implementation, the first corrective step is determined based on the change in calcaneal risk of the first calcaneal model relative to the second calcaneal model.

[0015] Secondly, embodiments of this application provide a method for displaying a tooth root bone model, applied to an electronic device. The method includes: displaying a first root bone model in response to the method described in the first aspect and any possible implementation thereof, wherein the displayed first root bone model includes: the root bone risk status of the teeth in the first root bone model.

[0016] In one possible implementation, the method further includes: displaying at least one of the second calcaneal model and the third calcaneal model.

[0017] In one possible implementation, the method further includes: in response to the selection operation of the orthodontic scheme, switching the currently displayed calcaneal model to the calcaneal model after the adjustment of the orthodontic step, wherein different orthodontic schemes correspond to different calcaneal models before or after the adjustment of the orthodontic step.

[0018] Thirdly, embodiments of this application provide a root bone risk assessment device for teeth, comprising:

[0019] The acquisition unit is used to acquire the patient's first root bone model, which includes the crown model, root model, and jawbone model corresponding to each of the patient's teeth.

[0020] A determining unit is used to determine the first root bone relational features of each tooth of the patient based on the first root bone model; wherein, the first root bone relational features are used to characterize the geometric relationship between the tooth root model and the jawbone model corresponding to the tooth in the first root bone model;

[0021] The assessment unit is used to assess the root bone risk of teeth in the first root bone model based on the first root bone relationship characteristics of all teeth of the patient.

[0022] Fourthly, embodiments of this application also provide an electronic device comprising modules / units for performing the method steps of the first aspect and any possible implementation thereof. These modules / units may be implemented in hardware or by hardware executing corresponding software.

[0023] Fifthly, embodiments of this application provide an electronic device, including a processor and a memory, wherein the memory stores program instructions; the processor executes the program instructions in the memory to implement the method steps in the first aspect and any possible implementation of the first aspect.

[0024] In a sixth aspect, embodiments of this application provide a computer-readable storage medium including computer-executable instructions that, when executed on a computer, cause the computer to perform method steps as described in the first aspect and any possible implementation thereof.

[0025] In a seventh aspect, embodiments of this application also provide a computer program product that, when run on an electronic device, causes the electronic device to perform the method steps as described in the first aspect and any possible implementation thereof. Attached Figure Description

[0026] Figure 1 A schematic flowchart of a method for assessing root bone risk of teeth provided in an embodiment of this application;

[0027] Figure 2 A schematic diagram of the first root bone model provided in the embodiments of this application;

[0028] Figure 3 A schematic diagram of the first feature quantity in the first root bone model provided in the embodiments of this application;

[0029] Figure 4 A schematic diagram of the first feature quantity in the first root bone model provided in the embodiments of this application;

[0030] Figure 5 A schematic flowchart of a method for assessing root bone risk of teeth provided in an embodiment of this application;

[0031] Figure 6 A schematic diagram of a root bone risk assessment device for teeth provided in an embodiment of this application;

[0032] Figure 7 This is a schematic diagram of an electronic device structure provided in an embodiment of this application. Detailed Implementation

[0033] To make the objectives, technical solutions, and advantages of this application clearer, the application will be further described in detail below with reference to the accompanying drawings. The specific implementation methods in the method embodiments can also be applied to the device embodiments or system embodiments. In the description of this application, unless otherwise stated, "multiple" means two or more.

[0034] It should be noted that the term "and / or" in this document is merely a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Furthermore, the character " / " in this document, unless otherwise specified, generally indicates that the preceding and following related objects have an "or" relationship. Also, in the description of the embodiments in this application, words such as "first" and "second" are used only for descriptive purposes and should not be construed as indicating or implying relative importance or order.

[0035] The various embodiments disclosed in this application can be applied to electronic devices having display functions. In some embodiments of this application, the electronic device may include, for example, a mobile phone, tablet computer, laptop computer, wearable device with wireless communication function, in-vehicle device, etc. The electronic device includes devices capable of performing data processing functions (such as a processor, or an application processor, or an image processor, or other processor), and devices capable of displaying a user interface (such as a display screen). Exemplary embodiments of the electronic device include, but are not limited to, devices equipped with... Alternatively, it can be an electronic device with another operating system. The aforementioned electronic device can also be a laptop computer, such as one with a touch-sensitive surface (e.g., a touch panel). It should also be understood that, in some other embodiments of this application, the aforementioned electronic device can also be a desktop computer with a touch-sensitive surface (e.g., a touch panel).

[0036] Figure 1 This is a schematic flowchart of a method for assessing the root bone risk of a tooth, provided in an embodiment of this application. This method can be executed by an electronic device or a component within an electronic device. For ease of description, the following embodiments use execution by an electronic device as an example. Figure 1 As shown, the root bone risk assessment method for this tooth includes the following steps:

[0037] Step 101: The electronic device acquires the first root bone model, which includes the crown model, root model and jawbone model corresponding to each tooth of the patient.

[0038] like Figure 2 The first bone model shown includes a crown model of each tooth, a root model corresponding to each tooth, a maxillary bone model of the patient, and a mandibular bone model.

[0039] The first root bone model in step 101 above has several possible implementations, which will be described below.

[0040] In one implementation method, the electronic device can acquire the patient's oral cavity scan data and CBCT data, and then reconstruct the patient's first calcaneal model based on the oral cavity scan data and CBCT data.

[0041] The oral scan data and CBCT data in step 101 can be obtained by performing an oral scan and taking a CBCT during the patient's initial treatment, or by performing an oral scan and taking a CBCT after the patient has undergone one or more orthodontic steps during orthodontic treatment. This application does not impose any restrictions on this.

[0042] In the second implementation method, the electronic device can obtain the first calcaneal model from the orthodontic plan, wherein the first calcaneal model can be the calcaneal model corresponding to any orthodontic step in the orthodontic plan.

[0043] In the third implementation method, the electronic device can create a new root bone model by adjusting the position of the teeth or jawbone on the existing root bone model, thus obtaining the first root bone model.

[0044] For example, an existing root bone model is denoted as M1, where the crown part is denoted as Crown1, the root part as Root1, and the jawbone part as Bone1. By adjusting the position of Crown1 to simulate tooth movement according to the orthodontic needs, and adjusting Root1 by the same amount of movement as Crown1, a new root bone model M2 is established, which is the first root bone model.

[0045] Implementation method four: By adjusting the position of teeth or jawbone on the existing root bone model using other data, a new root bone model is established, resulting in the first root bone model.

[0046] For example, an existing root bone model is denoted as M1, where the crown part is denoted as Crown1, the root part as Root1, and the jawbone part as Bone1; an intraoral photograph of the patient is acquired, and the dentition region in the intraoral photograph is segmented; by adjusting the position of Crown1 to match the state of the dentition region segmented from the image, and adjusting Root1 by the same number, a new root bone model M2 is established, which is the first root bone model.

[0047] In the fifth implementation method, some data from the existing root bone model are combined with information obtained from other sources to establish a new root bone model, thus obtaining the first root bone model.

[0048] For example, an existing root bone model is denoted as M1, with the crown portion denoted as Crown1, the root portion as Root1, and the jawbone portion as Bone1; an intraoral scan record S2 is obtained, and a new crown model Crown2 is obtained by segmenting S2; using Crown2 as a reference, the positions of the teeth and jawbone in M1 are adjusted by registration; Crown1 is removed, and Crown2 is fused with Root1 and Bone1 to obtain a new root bone model M2, which is the first root bone model.

[0049] Step 102: The electronic device determines the first root bone relation characteristics of each tooth of the patient based on the first root bone model.

[0050] Among them, the first interosseous relationship feature is used to characterize the geometric relationship between the tooth root model and the jawbone model corresponding to the tooth in the first osseous model. For example, the first interosseous relationship feature of the target tooth includes at least one of the following first features (1) to (3):

[0051] (1) The area of ​​the root model of the target tooth exposed outside the jawbone model of the target tooth in the first root model.

[0052] For example, such as Figure 3 The target tooth in the first root bone model shown has its corresponding root model exposed outside the jawbone model corresponding to the target tooth, as shown in the figure. Figure 3 The root model corresponding to the target tooth is exposed in the exposed portion 300mm outside the jawbone model corresponding to the target tooth. Figure 3 The image shows a frontal view of the target tooth. The area of ​​the root model of the target tooth exposed outside the jawbone model corresponding to the target tooth is the surface area of ​​the exposed portion 300 near the labial side, for example, denoted as S1. This application does not limit the specific calculation method of the area of ​​the exposed portion 300 of the target tooth.

[0053] (2) The volume of the root model of the target tooth exposed outside the jawbone model of the target tooth in the first root model.

[0054] For example, such as Figure 4 The target tooth in the first root bone model shown has its corresponding root model exposed outside the jawbone model corresponding to the target tooth, as shown below. Figure 4 The root model corresponding to the target tooth is exposed in the exposed portion 400° outside the jawbone model corresponding to the target tooth. Figure 4 The diagram shows a cross-sectional view of the target tooth along the labial-lingual direction. The volume of the root model of the target tooth exposed outside the jawbone model corresponding to the target tooth is the volume of the exposed portion (400), denoted as V1, for example. It should be noted that... Figure 3 The exposed portion 300 and Figure 4The exposed portion 400 in the two images is the same part of the target tooth, and both images show views of the same part of the target tooth from different viewing angles. This application does not limit the specific method for calculating the volume of the exposed portion 400 of the target tooth.

[0055] (3) The first distance between the sampling point on the root model corresponding to the target tooth in the first root bone model and the first distance between the jawbone model corresponding to the target tooth and the labial edge.

[0056] For example, such as Figure 4 The target tooth in the first root bone model shown has sampling points on its corresponding root model, for example, as follows: Figure 4 The first distance of the endpoint of the tooth model shown is the shortest distance between the endpoint of the root model corresponding to the target tooth and the buccal edge of the jaw model corresponding to the target tooth, which is close to the labial side. For example, it is denoted as L1.

[0057] Step 103: The electronic device assesses the root bone risk of the teeth in the first root bone model based on the first root bone relationship characteristics of all the patient's teeth.

[0058] In one possible implementation, the first root bone relationship feature includes at least one first feature, each first feature corresponding to a first set value. Step 103 can be implemented as follows: For the patient's target tooth (any tooth in the patient's dentistry), perform the following: Based on the at least one first feature included in the first root bone relationship feature of the target tooth, determine the ratio between each first feature and its corresponding first set value; determine the root bone risk of the target tooth based on the ratios corresponding to the at least one first feature; and then assess the root bone risk of the teeth in the first root bone model based on the root bone risk of each tooth in the patient's dentistry. The specific value of each first set value is not limited in this embodiment.

[0059] Taking the first root bone relation feature quantity as an example, which includes the above three first feature quantities (1) to (3), the first root bone relation feature quantity includes: the area of ​​the root model of the target tooth exposed outside the jawbone model of the target tooth in the first root bone model, denoted as S1; the volume of the root model of the target tooth exposed outside the jawbone model of the target tooth in the first root bone model, denoted as V1; and the first distance between the sampling point on the root model of the target tooth in the first root bone model and the jawbone model of the target tooth near the labial edge, denoted as L1.

[0060] Wherein, the first feature quantity S1 corresponds to a first set value S0, the first feature quantity V1 corresponds to a first set value V0, and the first feature quantity L1 corresponds to a first set value L0. The electronic device determines the ratio between the first feature quantity S1 and the corresponding first set value S0, denoted as ratio 1; the ratio between the first feature quantity V1 and the corresponding first set value V0, denoted as ratio 2; and the ratio between the first feature quantity L1 and the corresponding first set value L0, denoted as ratio 3. Then, based on these three ratios, the root bone risk of the target tooth is determined.

[0061] In one possible implementation, the electronic device determines the risk level and risk coefficient of the target tooth based on the ratios corresponding to at least one first characteristic quantity. Then, based on the risk level and / or the risk coefficient of the target tooth, it determines the root bone risk of the target tooth. The risk level of the target tooth is determined by one or more ratios corresponding to at least one first characteristic quantity. For example, the largest ratio among ratios 1, 2, and 3 can be rounded down to obtain the risk level of the target tooth. For instance, if the root model corresponding to the target tooth is not exposed outside the jawbone model, then the first characteristic value S1 is 0, the first characteristic value V1 is also 0, and the first characteristic value L1 is not 0. Therefore, ratios 1 and 2 are also 0, and the rounded value of ratio 3 is the risk level of the target tooth. Alternatively, the average of the larger ratios among ratios 1, 2, and 3 can be taken and rounded down to obtain the risk level of the target tooth. This application does not limit the specific method of determining the risk level based on one or more ratios. The risk coefficient of the target tooth is calculated based on the ratios corresponding to at least one first characteristic quantity. For example, the calculation method here is a weighted average, which is obtained by weighting the three ratios 1, 2, and 3. This application does not limit the calculation method.

[0062] In this embodiment of the application, the larger the first feature value S1 of the target tooth, the higher the risk level and risk coefficient of the target tooth in the first root bone model; the smaller the first feature value S1 of the target tooth, the lower the risk level and risk coefficient of the target tooth in the first root bone model; the larger the first feature value V1 of the target tooth, the higher the risk level and risk coefficient; the smaller the first feature value V1 of the target tooth, the lower the risk level and risk coefficient.

[0063] Generally, the reasonable positional relationship between the root model and the jawbone model corresponding to the target tooth is as follows: the endpoint of the root model of the target tooth (which can be understood as the root apex) is located at the center of the jawbone model (which can be understood as the alveolar bone) in the buccal-lingual direction. The reasonable distance value can be set between the center of the jawbone model in the buccal-lingual direction and the edge of the jawbone model near the labial side. In this embodiment, the further the first feature value L1 is from the reasonable distance value, the higher the risk level and risk coefficient; the closer the first feature value L1 is to the reasonable distance value, the lower the risk level and risk coefficient of the target tooth.

[0064] In this embodiment, the reasonable distance value is set to the same value for both the maxillary and mandibular teeth, specifically the distance between the central position of the jawbone model corresponding to the target tooth in the buccal-lingual direction and the distance between the central position of the jawbone model and the labial edge of the jawbone model. Alternatively, the reasonable distance value can be set differently for teeth in different positions. For example, when the target tooth is a maxillary anterior tooth, the reasonable position of its root model and jawbone model is determined as follows: the root model of the target tooth is positioned slightly towards the labial side in the buccal-lingual direction of the jawbone model corresponding to the target tooth. Conversely, when the target tooth is a mandibular anterior tooth, the reasonable position of its root model and jawbone model is determined as follows: the root model of the target tooth is positioned at the central position in the buccal-lingual direction of the jawbone model corresponding to the target tooth.

[0065] Based on the same method used to determine the root bone risk of the target tooth, the root bone risk of all the patient's teeth can be determined. For example, an electronic device outputs the risk coefficient and / or risk level of all the patient's teeth, and then, based on the risk coefficient and / or risk level of all the teeth, the root bone risk of the teeth in the first root bone model is evaluated. For example, the risk level is set to 1-5. If the risk level of the target tooth is higher than 3, it indicates that the root bone risk of the target tooth is too high, and the first root bone model needs to be adjusted to reduce the root bone risk of that tooth. The specific adjustment method can be to adjust the position of the target tooth, or to adjust the position of the jawbone on which the target tooth is located, or to adjust the position of the target tooth and other teeth. This application does not limit this.

[0066] In this embodiment, the geometric relationship between the tooth root model and the jawbone model corresponding to the patient's tooth in the first bone model is quantified by using the first bone relationship feature quantity. Then, based on the first bone relationship feature quantity of each tooth of the patient, the root bone risk of the tooth in the first bone model is evaluated, thereby assisting doctors to achieve efficient and accurate assessment of the root bone risk of the patient's teeth.

[0067] The root bone assessment method for teeth described in the above embodiments can be applied to the diagnosis of root bone risk in patients' teeth. By reconstructing the root bone model of the patient's current teeth and assessing the root bone risk of each tooth in the reconstructed root bone model, the method can diagnose whether the patient's current teeth have root bone risk and the severity of such risk.

[0068] The root bone assessment method described in the above embodiments can also be applied to orthodontic treatment plan design scenarios. For example, for the root bone model corresponding to any orthodontic step in the treatment plan, by assessing the root bone risk of each tooth in the root bone model corresponding to any orthodontic step, the orthodontist can be assisted in assessing the root bone risk and adjusting the treatment plan. It should be understood that, in the following text... Figure 5 Another method for assessing root bone risk, as shown, is also applicable to orthodontic treatment design. For example, during the design process, root bone models corresponding to any two treatment steps can be obtained, and the changes in root bone risk between the two models can be evaluated to determine whether the root bone risk has improved between different treatment steps. As another example, during treatment design, oral scan data, CBCT data, or intraoral photographs of the patient during their initial visit can be obtained. Then, based on one or more combinations of these data, the patient's initial root bone model can be reconstructed. Next, the root bone model for any treatment step in the plan can be obtained, and the changes in root bone risk between the root bone model for any step and the patient's initial root bone model can be evaluated and adjusted to obtain a treatment plan with low root bone risk.

[0069] The root bone assessment method described in the above embodiments can also be applied to orthodontic process monitoring scenarios. For example, after a period of orthodontic treatment, the root bone risk of the patient's teeth can be assessed by reconstructing a root bone model of the patient after a period of orthodontic treatment. Specifically, the reconstruction step may involve: re-acquiring the patient's oral cavity scan data, CBCT data, or intraoral photographs after a period of orthodontic treatment. These are entirely new data on the patient's oral cavity. Then, based on one or more combinations of the acquired oral cavity scan data, CBCT data, or intraoral photographs, the patient's root bone model is reconstructed.

[0070] It should be understood that in the following text Figure 5Another method for assessing root bone risk in teeth, as shown, is also applicable to orthodontic treatment monitoring scenarios. For example, during a patient's orthodontic treatment, two different time points can be selected, such as a first time point and a second time point. Oral scan data, CBCT data, or intraoral photographs of the patient at the first time point can be obtained. Then, based on one or more combinations of the obtained oral scan data, CBCT data, or intraoral photographs, a root bone model of the patient at the first time point can be reconstructed. Oral scan data, CBCT data, or intraoral photographs of the patient at the second time point can be obtained. Then, based on one or more combinations of the obtained oral scan data, CBCT data, or intraoral photographs of the patient at the second time point, a root bone model of the patient at the second time point can be reconstructed. Finally, the changes in root bone risk between the root bone model at the first time point and the root bone model at the second time point can be evaluated. For example, during a patient's orthodontic treatment, a specific time point, such as the third time point, can be selected. Oral scan data, CBCT data, or intraoral photographs of the patient at this third time point can be acquired. Based on one or more combinations of these data, a root bone model of the patient at the third time point can be reconstructed. Furthermore, a root bone model corresponding to a specific orthodontic step in the treatment plan can be obtained. Finally, the changes in root bone risk between the patient's root bone model at the third time point and the root bone model corresponding to a specific orthodontic step in the treatment plan can be evaluated.

[0071] In this embodiment of the application, for scenarios requiring assessment of changes in root bone risk of teeth, another method for assessing root bone risk of teeth is provided. This method, in addition to steps 101-103 as described above, may also include... Figure 5 Steps 501 to 503 are shown, and the specific implementation of steps 101 to 103 can be referred to the above. Figure 1 The relevant descriptions of the methods shown will not be repeated here.

[0072] Step 501: The electronic device acquires a second calcaneal model of the patient, which is different from the first calcaneal model.

[0073] The second root bone model differs from the first root bone model in that at least one tooth in the second root bone model is in a different position than the corresponding tooth in the first root bone model; or the jawbone position in the second root bone model is different from the jawbone position in the first root bone model.

[0074] In one method for implementing step 501 above, the electronic device can adjust the position of at least one tooth in the first root bone model, and / or adjust the position of the jawbone in the first root bone model to obtain a second root bone model. By performing a risk assessment on these two root bone models, the change in root bone risk between the two root bone models before and after adjustment can be evaluated.

[0075] For example, the first root bone model can be used as an existing root bone model. Then, referring to Implementation Method 3 above, the positions of the teeth or jawbones on the existing root bone model can be adjusted to create a new root bone model, resulting in a second root bone model. Alternatively, the first root bone model can be used as an existing root bone model. Referring to Implementation Method 4 above, the positions of the teeth or jawbones on the existing root bone model can be adjusted using other data to create a new root bone model, resulting in a first root bone model. Yet another example is that the first root bone model can be used as an existing root bone model. Referring to Implementation Method 5 above, some data from the existing root bone model can be integrated with information obtained from other data to create a new root bone model, resulting in a second root bone model. Detailed implementation information can be found in the descriptions of Implementation Methods 3, 4, and 5 for obtaining the first root bone model in step 101 above, and will not be repeated here.

[0076] In another way to achieve step 501 above, the first root bone model is the root bone model corresponding to the patient's current intraoral state, and the second root bone model is the root bone model corresponding to any orthodontic step in the treatment plan; or, the first root bone model is the root bone model corresponding to any orthodontic step in the treatment plan, and the second root bone model is the root bone model corresponding to the patient's current intraoral state. By conducting risk assessments on these two root bone models, the root bone risk of the patient's current teeth and the root bone risk deviation from the treatment plan can be assessed, and the plan can be adjusted in a timely manner based on the root bone risk deviation.

[0077] In another way to achieve step 501 above, the first calcaneal model and the second calcaneal model are calcaneal models corresponding to the patient's intraoral state at different times.

[0078] In another method for implementing step 501 above, the first radicular model is the radicular model corresponding to any one of the orthodontic steps in the treatment plan, and the second radicular model is the radicular model corresponding to any one of the orthodontic steps in the treatment plan other than the one corresponding to the first radicular model. By conducting risk assessments on these two radicular models, the change in radicular risk between any two orthodontic steps in the treatment plan can be evaluated, and the plan can be adjusted to gradually reduce radicular risk while meeting orthodontic requirements.

[0079] Step 502, for the patient's target tooth, which is any tooth among the patient's teeth, the electronic device performs the following steps 502-1 and 502-2:

[0080] Step 502-1: Determine the second root bone relational features of the target tooth based on the second root bone model.

[0081] Among them, the second root bone relationship feature of the target tooth in the second root bone model is used to characterize the geometric relationship between the tooth root model and the jawbone model corresponding to the tooth in the second root bone model. For example, the second root bone relationship feature of the target tooth includes at least one of the following (1) to (3):

[0082] (1) The area of ​​the root model corresponding to the target tooth exposed outside the jawbone model corresponding to the target tooth in the second root model, for example, denoted as S2. For specific implementation, please refer to the relevant description of the first feature quantity S1 in the first root model above, which will not be repeated here.

[0083] (2) The volume of the root model corresponding to the target tooth exposed outside the jawbone model corresponding to the target tooth in the second root model, for example, denoted as V3. For specific implementation, please refer to the relevant description of the first feature quantity V1 in the first root model above, which will not be repeated here.

[0084] (3) The second distance between the sampling point on the root model corresponding to the target tooth in the second root bone model and the jawbone model corresponding to the target tooth near the labial edge, for example, is denoted as L3. For specific implementation, please refer to the relevant description of the first feature quantity L1 in the first root bone model above, which will not be repeated here.

[0085] In this embodiment, at least one first feature quantity included in the first pedicle relationship feature quantity corresponds one-to-one with at least one second feature quantity included in the second pedicle relationship feature quantity. First feature quantity S1 corresponds to second feature quantity S2, first feature quantity V1 corresponds to second feature quantity V2, and first feature quantity L1 corresponds to second feature quantity L2. For example, if the first pedicle relationship feature quantity includes S1, then the second pedicle relationship feature quantity includes S2; or if the first pedicle relationship feature quantity includes V1, then the second pedicle relationship feature quantity includes V2; or if the first pedicle relationship feature quantity includes S1 and L1, then the second pedicle relationship feature quantity includes S2 and L2; or if the first pedicle relationship feature quantity includes S1, V1, and L1, then the second pedicle relationship feature quantity includes S2, V2, and L2. Not all cases are listed here.

[0086] Step 502-2: Determine the root bone relationship difference of the target tooth based on the first root bone relationship feature quantity and the second root bone relationship feature quantity of the target tooth.

[0087] In one possible implementation, the electronic device determines the root bone relationship difference between each first feature quantity included in the first root bone relationship feature quantity of the target tooth and the corresponding second feature quantity in the second root bone relationship feature quantity, thereby obtaining at least one root bone relationship difference quantity. For example, if the first root bone relationship feature quantity includes S1 and the second root bone relationship feature quantity includes S2, then at least one root bone relationship difference quantity includes ΔS, which is the difference between S1 and S2; as another example, if the first root bone relationship feature quantity includes V1 and the second root bone relationship feature quantity includes V2, then at least one root bone relationship difference quantity includes ΔV, which is the difference between V1 and V2; as yet another example, if the first root bone relationship feature quantity includes L1 and the second root bone relationship feature quantity includes L2, then at least one root bone relationship difference quantity includes ΔL, which is the difference between L1 and L2. Furthermore, if the first root bone relationship feature quantity includes S1, V1, and L1, and the second root bone relationship feature quantity includes S2, V2, and L2, then at least one root bone relationship difference quantity includes ΔS, ΔV, and ΔL.

[0088] Step 503: The electronic device assesses the change in root bone risk between the first and second root bone models for each of the patient's teeth based on the difference in root bone relationship for each tooth.

[0089] In one possible implementation, the electronic device determines the ratio between the root bone relationship difference for each target tooth and the corresponding second set value, and then determines the root bone risk change of the target tooth based on the ratio corresponding to at least one root bone relationship difference for the target tooth.

[0090] Each root-bone relationship difference corresponds to a second set value. For example, if the root-bone relationship difference includes ΔS, the corresponding second set value is denoted as S"; if the root-bone relationship difference includes ΔV, the corresponding second set value is denoted as V"; and if the root-bone relationship difference includes ΔL, the corresponding second set value is denoted as L". Taking the root-bone relationship difference of the target tooth including ΔS, ΔV, and ΔL as an example, the ratio between each root-bone relationship difference and its corresponding second set value is as follows: the ratio between ΔS and S" is denoted as ratio 4; the ratio between ΔV and V" is denoted as ratio 5; and the ratio between ΔL and L" is denoted as ratio 6.

[0091] In one possible implementation, the electronic device determines the risk level and risk coefficient of the target tooth based on the ratios corresponding to at least one difference in root-bone relationship. Then, it determines the root-bone risk change of the target tooth based on the risk level and / or the risk coefficient. The risk level of the target tooth is determined by one or more ratios corresponding to at least one difference in root-bone relationship. For example, the largest ratio among ratios 4, 5, and 6 is rounded down to obtain the risk level. Alternatively, the risk level is obtained by averaging the larger ratios among ratios 4, 5, and 6 and then rounding down. The risk coefficient is calculated based on the ratios corresponding to at least one difference in root-bone relationship. For example, the risk coefficient is obtained by weighted averaging of ratios 4, 5, and 6.

[0092] In this embodiment, the larger the difference ΔS in the root-bone relationship of the target tooth, the higher the risk level and risk coefficient of the difference between the two root-bone models; the smaller the difference ΔS in the root-bone relationship of the target tooth, the lower the risk level and risk coefficient of the difference between the two root-bone models; the larger the difference ΔV in the root-bone relationship of the target tooth, the higher the risk level and risk coefficient of the difference between the two root-bone models; the smaller the difference ΔV in the root-bone relationship of the target tooth, the lower the risk level and risk coefficient of the difference between the two root-bone models; the larger the difference ΔL in the root-bone relationship of the target tooth, the higher the risk level and risk coefficient of the difference between the two root-bone models; the smaller the difference ΔL in the root-bone relationship of the target tooth, the lower the risk level and risk coefficient of the difference between the two root-bone models.

[0093] Using the same method as determining the differential root bone risk of the target tooth, the differential root bone risk of all teeth of the patient can be determined. For example, an electronic device outputs the differential risk coefficient and / or differential risk level of all teeth of the patient, and then, based on the differential risk coefficient and / or differential risk level of all teeth, the change in root bone risk of each tooth of the patient between the first root bone model and the second root bone model is evaluated.

[0094] Furthermore, the electronic device can also output at least one of the following prompts: the root bone risk status of each tooth corresponding to the first root bone model; the root bone risk status of each tooth corresponding to the second root bone model; and the change in root bone risk between the first and second root bone models.

[0095] In one possible implementation, the first root bone model is the root bone model corresponding to the patient's current intraoral state, and the second root bone model is the root bone model corresponding to the reference orthodontic step in the treatment plan. The electronic device determines, based on the changes in root bone risk of each tooth between the first and second root bone models, that the root bone risk of the first root bone model is higher than that of the second root bone model. If so, it adjusts the tooth or jawbone position in the third root bone model corresponding to the first orthodontic step to obtain a fourth root bone model. If the root bone risk of the fourth root bone model is lower than that of the third root bone model, the first orthodontic step is the orthodontic step following the reference orthodontic step in the treatment plan. In this embodiment, the specific process of adjusting the tooth or jawbone position in the third root bone model corresponding to the first orthodontic step to obtain the fourth root bone model can involve adjusting the third root bone model once or multiple times until the root bone risk of the adjusted root bone model is reduced below a certain threshold, thus obtaining the fourth root bone model. This threshold can be set according to actual needs, and this application does not impose any restrictions on it. The first corrective step is determined based on the calcaneal risk of the first calcaneal model relative to the second calcaneal model. This allows for the acquisition of an adjusted corrective plan that reduces calcaneal risk.

[0096] For example, if the reference orthodontic step is the 10th orthodontic step in the treatment plan, and the first orthodontic step is the 11th orthodontic step, the patient's current intraoral state is the state after the 10th orthodontic step. The root bone model can be reconstructed by using the intraoral scan data and CBCT data corresponding to the patient's current intraoral state, thus obtaining the first root bone model. If, based on the change in root bone risk between the first root bone model and the second root bone model corresponding to the 10th orthodontic step, it is determined that the root bone risk of the first root bone model is higher than that of the second root bone model, the tooth position or jawbone position in the third root bone model corresponding to the 11th orthodontic step can be used to obtain the fourth root bone model, in order to reduce the root bone risk of the root bone model corresponding to the 11th orthodontic step.

[0097] In this embodiment, the electronic device quantifies the geometric relationship between the tooth root model and the jawbone model of each tooth in the root bone model, and efficiently and accurately assesses the changes in root bone risk between different root bone models. This can assist doctors in assessing and adjusting orthodontic plans, and provide relevant risk warnings during the orthodontic process.

[0098] This application embodiment also provides a method for displaying a tooth root bone model, which is executed by an electronic device. The method includes: in response to the tooth root bone risk assessment method in any of the above embodiments, displaying a target root bone model, wherein the displayed target root bone model includes: the root bone risk status of the tooth in the target root bone model, and the target root bone model may include at least one of a first root bone model, a second root bone model, and a third root bone model.

[0099] Specifically, the target root bone model can include one root bone model. For example, if the target root bone model includes a first root bone model, then the first root bone model displayed on the electronic device includes the root bone risk information of the first root bone model; or if the target root bone model includes a second root bone model, then the second root bone model displayed on the electronic device includes the root bone risk information of the second root bone model; or if the target root bone model includes a third root bone model, then the third root bone model displayed on the electronic device includes the root bone risk information of the third root bone model.

[0100] The target root bone model can be a combination of multiple models including the first root bone model, the second root bone model, and the third root bone model. For example, if the target root bone model includes the first root bone model and the third root bone model, then the first root bone model displayed by the electronic device includes the root bone risk information of the first root bone model, and the third root bone model displayed includes the root bone risk information of the third root bone model. The combinations are not listed one by one here.

[0101] In one possible implementation, the electronic device responds to the above. Figure 1 The illustrated method for assessing the root bone risk of teeth shows a first root bone model, wherein the first root bone model includes the root bone risk status of the teeth in the first root bone model.

[0102] For example, the display screen of an electronic device can show the interface of a root bone risk assessment system. This interface includes a first control that a doctor can operate. In response to this operation, the electronic device executes the root bone risk assessment method for teeth according to any of the above embodiments, and then displays a first root bone model on the display screen. The displayed first root bone model also includes the root bone risk status of the teeth. This application does not limit the specific form of the first control; operations on the first control may include, for example, a click operation, a swipe operation, or a long press operation. This application does not limit the specific form of the operation.

[0103] In yet another possible implementation, the electronic device responds to the above. Figure 1 as well as Figure 5 The illustrated method for assessing root bone risk of teeth displays at least one of a first root bone model, a second root bone model, and a third root bone model. The electronic device may display the root bone risk information of any displayed root bone model, or, when displaying multiple root bone models, may display the differential root bone risk information between any two root bone models, or, when displaying multiple root bone models, may display not only the root bone risk information of each root bone model but also the differential root bone risk information between any two root bone models.

[0104] In one possible implementation, the electronic device may also switch the currently displayed calcaneal model to the calcaneal model after the adjustment of the adjustment step in response to the selection of the orthodontic scheme. The different selected orthodontic schemes correspond to different calcaneal models before or after the adjustment of the adjustment step.

[0105] For example, an electronic device displays the pedicle model of the first corrective step in the treatment plan, and in response to a selection operation of the second corrective step in the treatment plan, switches the pedicle model of the first corrective step to the pedicle model of the second corrective step. The second corrective step can be either a corrective step preceding or following the first corrective step in the treatment plan.

[0106] The methods provided in the embodiments of this application above are described from the perspective of an electronic device as the executing entity. To implement the functions of the methods provided in the embodiments of this application above, the electronic device may include hardware structures and / or software modules, implementing the above functions in the form of hardware structures, software modules, or a combination of hardware structures and software modules. Whether a particular function is executed in the form of hardware structures, software modules, or a combination of hardware structures and software modules depends on the specific application and design constraints of the technical solution.

[0107] Based on the same technical concept, embodiments of this application provide a root bone risk assessment device for teeth, such as... Figure 6 As shown, the device 600 includes an acquisition unit 601, a determination unit 602, and an evaluation unit 603, wherein:

[0108] The acquisition unit 601 is used to acquire the patient's first root bone model, which includes the crown model, root model and jawbone model corresponding to each of the patient's teeth.

[0109] The determining unit 602 is used to determine the first root bone relational feature quantity of each tooth of the patient based on the first root bone model; wherein, the first root bone relational feature quantity is used to characterize the geometric relationship between the tooth root model and the jawbone model corresponding to the tooth in the first root bone model;

[0110] Assessment unit 603 is used to assess the root bone risk of teeth in the first root bone model based on the first root bone relationship characteristics of all teeth of the patient.

[0111] Optionally, the first root bone relationship feature of the target tooth includes at least one of the following first features: the area of ​​the root model corresponding to the target tooth exposed outside the jawbone model corresponding to the target tooth in the first root bone model; the volume of the root model corresponding to the target tooth exposed outside the jawbone model corresponding to the target tooth in the first root bone model; and the first distance between the sampling point on the root model corresponding to the target tooth in the first root bone model and the jawbone model corresponding to the target tooth near the labial edge.

[0112] Optionally, the first root bone relationship feature includes at least one first feature, each first feature corresponding to a first set value. The evaluation unit 603 is specifically used to: for the patient's target tooth, which is any tooth in the patient's teeth, perform the following: based on the at least one first feature included in the first root bone relationship feature of the target tooth, determine the ratio between each first feature and the corresponding first set value; determine the root bone risk of the target tooth based on the ratios corresponding to the at least one first feature; and evaluate the root bone risk of the teeth in the first root bone model based on the root bone risk of each tooth in the patient's teeth.

[0113] Optionally, the determining unit 602 is specifically used to: determine the root bone risk of the target tooth based on the risk level of the target tooth and / or the risk coefficient of the target tooth; wherein the risk level of the target tooth is determined based on one or more ratios corresponding to at least one first feature quantity, and the risk coefficient of the target tooth is calculated based on the ratios corresponding to at least one first feature quantity.

[0114] Optionally, the acquisition unit 601 is further configured to acquire a second apical model of the patient, which is different from the first apical model; the determination unit 602 is further configured to: for the patient's target tooth, which is any tooth among the patient's teeth, perform the following: determine the second apical relationship feature quantity of the target tooth based on the second apical model; determine the apical relationship difference quantity corresponding to the target tooth based on the first apical relationship feature quantity and the second apical relationship feature quantity of the target tooth; the evaluation unit 603 is further configured to: evaluate the apical risk change of each tooth of the patient between the first apical model and the second apical model based on the apical relationship difference quantities corresponding to all of the patient's teeth respectively.

[0115] Optionally, the first root bone relationship feature quantity includes at least one first feature quantity, and the second root bone relationship feature quantity includes at least one second feature quantity, with at least one first feature quantity corresponding to at least one second feature quantity; the determining unit 602 is specifically used to: determine the root bone relationship difference quantity between each first feature quantity included in the first root bone relationship feature quantity of the target tooth and the corresponding second feature quantity in the second root bone relationship feature quantity, thereby obtaining at least one root bone relationship difference quantity; the evaluation unit 603 is specifically used to: determine the ratio between each root bone relationship difference quantity corresponding to the target tooth and the corresponding second set value; determine the root bone risk change of the target tooth based on the ratio corresponding to at least one root bone relationship difference quantity of the target tooth; and evaluate the root bone risk change of each tooth of the patient between the first root bone model and the second root bone model based on the root bone risk change of each tooth of the patient.

[0116] Optionally, the determining unit 602 is specifically used to: determine the root bone risk change of the target tooth based on the difference risk level of the target tooth and / or the difference risk coefficient of the target tooth; wherein, the difference risk level of the target tooth is determined by one or more ratios corresponding to at least one difference in root bone relationship, and the difference risk coefficient of the target tooth is obtained by weighted averaging of the ratios corresponding to at least one difference in root bone relationship.

[0117] Optionally, the acquisition unit 601 is specifically used to: adjust the position of at least one tooth in the first root bone model, and / or adjust the position of the jawbone in the first root bone model to obtain a second root bone model.

[0118] Optionally, the first root bone model is the root bone model corresponding to the patient's current intraoral state, and the second root bone model is the root bone model corresponding to the reference orthodontic step in the treatment plan; the determining unit 602 is also used to: determine, based on the changes in root bone risk of each tooth of the patient between the first root bone model and the second root bone model, that the root bone risk of the first root bone model is higher than that of the second root bone model, then adjust the tooth position or jawbone position in the third root bone model corresponding to the first orthodontic step to obtain a fourth root bone model; the root bone risk of the fourth root bone model is lower than that of the third root bone model, and the first orthodontic step is the orthodontic step in the treatment plan that is located after the reference orthodontic step.

[0119] Optionally, the first corrective step is determined based on the change in calcaneal risk of the first calcaneal model relative to the second calcaneal model.

[0120] When implemented in hardware, the hardware implementation of this electronic device can be found in [reference needed]. Figure 7 And its related descriptions.

[0121] See Figure 7The electronic device includes: a display screen 701; one or more processors 702; a memory 703; one or more application programs (not shown); and one or more computer programs 704. These devices can be connected via one or more communication buses 705. The one or more computer programs 704 are stored in the memory 703 and configured to be executed by the one or more processors 702. The one or more computer programs 704 include instructions that can be used to perform the methods in any of the above embodiments.

[0122] This application also provides a computer storage medium storing computer instructions. When the computer instructions are executed on an electronic device, the electronic device performs the aforementioned method steps to implement the methods described in the above embodiments.

[0123] This application also provides a computer program product that, when run on a computer, causes the computer to perform the aforementioned steps to implement the methods described in the above embodiments.

[0124] In addition, embodiments of this application also provide an apparatus, which may specifically be a chip, an analysis item, or a module. The apparatus may include a connected processor and a memory; wherein the memory is used to store computer execution instructions, and when the apparatus is running, the processor may execute the computer execution instructions stored in the memory to cause the chip to execute the smile simulation interaction method in the above method embodiments.

[0125] In this application, the electronic devices, computer storage media, computer program products or chips provided in the embodiments are all used to execute the corresponding methods provided above. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods provided above, and will not be repeated here.

[0126] Through the above description of the embodiments, those skilled in the art will understand that, for the sake of convenience and brevity, only the division of the above functional modules is used as an example. In actual applications, the above functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0127] In the several embodiments provided in this application, it should be understood that the disclosed apparatus and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or analysis items may be combined or integrated into another apparatus, or some features may be ignored or not executed. Furthermore, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0128] The units described as separate components may or may not be physically separate. A component shown as a unit can be one or more physical units; that is, it can be located in one place or distributed in multiple different locations. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0129] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0130] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a readable storage medium. Based on this understanding, the technical solutions of the embodiments of this application, in essence, or the parts that contribute to the prior art, or all or part of the technical solutions, can be embodied in the form of a software product. This software product is stored in a storage medium and includes several instructions to cause a device (which may be a microcontroller, chip, etc.) or processor to execute all or part of the steps of the methods of the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0131] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

Claims

1. A method of root bone risk assessment of a tooth, characterized by, include: Obtain the patient's first root bone model, which includes a crown model, a root model, and a jawbone model corresponding to each of the patient's teeth. Based on the first root bone model, the first root bone relationship feature quantity of each tooth of the patient is determined; wherein, the first root bone relationship feature quantity is used to characterize the geometric relationship between the tooth root model and the jawbone model corresponding to the tooth in the first root bone model. The root bone risk of teeth in the first root bone model is assessed based on the first root bone relationship characteristics of all teeth of the patient.

2. The method as described in claim 1, characterized in that, The first interosseous relationship features of the target tooth include at least one of the following first features: The area of ​​the root model corresponding to the target tooth in the first root bone model exposed outside the jawbone model corresponding to the target tooth; The volume of the root model corresponding to the target tooth in the first root bone model exposed outside the jawbone model corresponding to the target tooth; The sampling point on the root model corresponding to the target tooth in the first root bone model is at a first distance from the labial edge of the jawbone model corresponding to the target tooth.

3. The method as described in claim 1, characterized in that, The first root bone relationship feature includes at least one first feature, each first feature corresponding to a first set value. The step of assessing the root bone risk of teeth in the first root bone model based on the first root bone relationship features of all teeth of the patient includes: For the target tooth of the patient, which is any tooth in the patient's dentistry, the following is performed: Based on at least one first feature quantity included in the first root bone relationship feature quantity of the target tooth, the ratio between each first feature quantity and the corresponding first set value is determined respectively; The root bone risk of the target tooth is determined based on the ratios corresponding to the at least one first feature quantity. The root bone risk of the teeth in the first root bone model is assessed based on the root bone risk of each tooth of the patient.

4. The method as described in claim 3, characterized in that, The step of determining the root bone risk of the target tooth based on the ratios corresponding to the at least one first feature quantity includes: The root bone risk of the target tooth is determined based on the risk level of the target tooth and / or the risk coefficient of the target tooth; wherein the risk level of the target tooth is determined based on one or more ratios corresponding to the at least one first feature quantity, and the risk coefficient of the target tooth is calculated based on the ratios corresponding to the at least one first feature quantity.

5. The method according to any one of claims 1-4, characterized in that, The description also includes: Obtain a second calcaneal model of the patient, which is different from the first calcaneal model; For the patient's target tooth, which is any one of the patient's teeth, perform the following: Based on the second root bone model, determine the second root bone relational feature quantity of the target tooth; Based on the first root bone relationship feature value and the second root bone relationship feature value of the target tooth, determine the root bone relationship difference value corresponding to the target tooth; Based on the differences in root-bone relationships for each of the patient's teeth, the changes in root-bone risk for each tooth between the first and second root-bone models were assessed.

6. The method as described in claim 5, characterized in that, The first root bone relationship feature quantity includes at least one first feature quantity, and the second root bone relationship feature quantity includes at least one second feature quantity, wherein the at least one first feature quantity corresponds one-to-one with the at least one second feature quantity; determining the root bone relationship difference quantity corresponding to the target tooth based on the first root bone relationship feature quantity and the second root bone relationship feature quantity of the target tooth includes: Determine the root bone relationship difference between each first feature quantity included in the first root bone relationship feature quantity of the target tooth and the corresponding second feature quantity in the second root bone relationship feature quantity, and obtain at least one root bone relationship difference quantity; The assessment of changes in root bone risk for each tooth of the patient between the first and second root bone models, based on the differences in root bone relationships corresponding to all of the patient's teeth, includes: Determine the ratio between the root bone relationship difference for each target tooth and the corresponding second set value; The risk change of the root bone of the target tooth is determined based on the ratio corresponding to the difference in root bone relationship of at least one root bone of the target tooth. Based on the changes in root bone risk for each tooth of the patient, assess the changes in root bone risk for each tooth of the patient between the first root bone model and the second root bone model.

7. The method as described in claim 6, characterized in that, The step of determining the change in root bone risk of the target tooth based on the ratios corresponding to the differences in root bone relationship at least one of the target teeth includes: The root bone risk change of the target tooth is determined based on the difference risk level of the target tooth and / or the difference risk coefficient of the target tooth; wherein the difference risk level of the target tooth is determined by one or more ratios corresponding to the at least one difference in root bone relationship, and the difference risk coefficient of the target tooth is calculated based on the ratios corresponding to the at least one difference in root bone relationship.

8. The method according to any one of claims 5-7, characterized in that, The process of obtaining the patient's second calcaneal model includes: The position of at least one tooth in the first root bone model is adjusted, and / or the position of the jawbone in the first root bone model is adjusted to obtain the second root bone model.

9. The method according to any one of claims 5-7, characterized in that, The first calcaneal model is the calcaneal model corresponding to the patient's current intraoral state, and the second calcaneal model is the calcaneal model corresponding to the reference orthodontic step in the orthodontic plan; the method further includes: Based on the changes in root bone risk of each tooth of the patient between the first root bone model and the second root bone model, if it is determined that the root bone risk of the first root bone model is higher than that of the second root bone model, then the tooth position or jawbone position in the third root bone model corresponding to the first orthodontic step is adjusted to obtain a fourth root bone model; the root bone risk of the fourth root bone model is lower than that of the third root bone model, and the first orthodontic step is the orthodontic step in the orthodontic plan that is located after the reference orthodontic step.

10. The method as described in claim 9, characterized in that, The first corrective step is determined based on the change in calcaneal risk of the first calcaneal model relative to the second calcaneal model.

11. A method for displaying a tooth root bone model, characterized in that, include: In response to the method for assessing the root bone risk of a tooth as described in any one of claims 1-10, a first root bone model is displayed, wherein the first root bone model displayed includes: the root bone risk status of the tooth in the first root bone model.

12. The method as described in claim 11, characterized in that, Also includes: Display at least one of the second calcaneal model and the third calcaneal model.

13. The method as described in claim 11, characterized in that, Also includes: In response to the selection of a treatment plan, the currently displayed calcaneal model is switched to the calcaneal model after the adjustment of the treatment steps. Different treatment plans correspond to different calcaneal models before or after the adjustment of the treatment steps.

14. An electronic device, characterized in that, The electronic device includes a processor and a memory, the memory storing program instructions; the processor executes the program instructions in the memory to implement the steps of the method as described in any one of claims 1 to 13.

15. A computer-readable storage medium, characterized in that, It includes computer-executable instructions that, when executed on a computer, cause the computer to perform the steps of the method as claimed in any one of claims 1 to 13.

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