CN113888610B - Dental preparation effect evaluation method, detection apparatus, and storage medium - Google Patents

Dental preparation effect evaluation method, detection apparatus, and storage medium Download PDF

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CN113888610B
CN113888610B CN202111197256.2A CN202111197256A CN113888610B CN 113888610 B CN113888610 B CN 113888610B CN 202111197256 A CN202111197256 A CN 202111197256A CN 113888610 B CN113888610 B CN 113888610B
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model
evaluated
sampling
determining
outer contour
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CN113888610A (en
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王利峰
任建勇
周皓
沈晨
刘洪澎
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Yake Wisdom Beijing Technology Co ltd
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Yake Wisdom Beijing Technology Co ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/30Determination of transform parameters for the alignment of images, i.e. image registration
    • G06T7/33Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
    • G06T7/344Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving models
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T17/00Three dimensional [3D] modelling, e.g. data description of 3D objects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30036Dental; Teeth
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30168Image quality inspection
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30Computing systems specially adapted for manufacturing

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  • Dental Tools And Instruments Or Auxiliary Dental Instruments (AREA)

Abstract

The invention relates to the technical field of dental preparation, and provides a dental preparation effect evaluation method, a detection device and a storage medium. The tooth preparation effect evaluation method comprises the steps of obtaining a three-dimensional model of a preparation to be evaluated and a three-dimensional model of a standard preparation, taking the three-dimensional model of the preparation to be evaluated as a model to be evaluated, and taking the three-dimensional model of the standard preparation as a reference model; registering the model to be evaluated with the reference model to obtain a registration model; determining a plurality of sampling points on an outer contour surface of the reference model based on the reference model; determining the calculated distance between each sampling point and the outer contour surface of the model to be evaluated in the set direction based on the registration model; and scoring the model to be evaluated according to the calculated distance and the set scoring rule. The invention realizes the quantitative evaluation of the tooth preparation effect of the students and improves the accuracy of the evaluation of the tooth preparation effect.

Description

Dental preparation effect evaluation method, detection apparatus, and storage medium
Technical Field
The present invention relates to the technical field of dental preparation, and in particular, to a dental preparation effect evaluation method, a detection apparatus, and a storage medium.
Background
Dental preparation refers generally to the technical operations of removing caries and trimming the appearance of adjacent teeth of a diseased or missing tooth by a dental instrument to meet the needs of retention, support, appearance, aesthetics and function of a restoration in order to restore, improve or reconstruct the anatomical appearance and physiological function of the defect or the missing tooth.
Dental preparation operations typically involve a doctor holding a dental handpiece at high speed to perform a dental cutting and grinding operation. The shape accuracy of the teeth after tooth preparation depends on the clinical experience and technical level of doctors due to the influence of factors such as hand shake, narrow operation space in the oral cavity, non-direct vision environment and the like. In the learning process of the dental students, the traditional method for evaluating the tooth preparation effect is to directly visually check through a teacher, and quantitative evaluation results cannot be formed and are not accurate enough. In order to improve learning efficiency, an objective and accurate dental preparation effect evaluation method is needed to guide actual operation and improve clinical technical level.
Disclosure of Invention
The invention provides a dental preparation effect evaluation method, detection equipment and a storage medium, which are used for solving the problems that the dental preparation effect cannot be quantified and the evaluation result is not accurate enough in the prior art.
The invention provides a tooth preparation effect evaluation method, which comprises the following steps:
acquiring a three-dimensional model of a preparation to be evaluated and a three-dimensional model of a standard preparation, taking the three-dimensional model of the preparation to be evaluated as a model to be evaluated, and taking the three-dimensional model of the standard preparation as a reference model;
registering the model to be evaluated with the reference model to obtain a registration model;
determining a plurality of sampling points on an outer contour surface of the reference model based on the reference model;
determining the calculated distance between each sampling point and the outer contour surface of the model to be evaluated in the set direction based on the registration model;
and scoring the model to be evaluated according to the calculated distance and the set scoring rule.
According to the method for evaluating the dental preparation effect provided by the invention, the registering of the model to be evaluated and the reference model is carried out to obtain a registering model, which comprises the following steps:
acquiring parameter information of a plurality of corresponding feature points on the reference model and the model to be evaluated;
registering the reference model and the model to be evaluated for one time according to the parameter information of the feature points;
and performing secondary registration on the reference model and the model to be evaluated by adopting an iterative closest point algorithm after the primary registration to obtain the registration model.
The method for evaluating the tooth preparation effect provided by the invention comprises the following steps:
acquiring parameter information of a closed outer contour line surrounding a tooth to be evaluated on an outer contour surface of the registration model;
dividing a model part of the registration model, which is positioned on the side, far away from the tooth root, of the outer contour line according to the parameter information of the outer contour line;
and scoring the model to be evaluated based on the segmented model parts.
According to the method for evaluating the tooth preparation effect provided by the invention, the method for determining a plurality of sampling points on the outer contour surface of the reference model based on the reference model comprises the following steps:
setting a plurality of reference surfaces in one direction or in a plurality of directions respectively according to a set step length based on the reference model;
and determining sampling boundary lines obtained by intersecting each reference plane with the outer contour plane of the reference model, and determining a plurality of sampling points on each sampling boundary line.
According to the dental preparation effect evaluation method provided by the invention, a plurality of reference surfaces are respectively set according to set step sizes in three directions based on the reference model; the three directions are the height direction of the tooth to be evaluated, the tangential direction of the dental arch curve at the tooth to be evaluated and the direction orthogonal to the height direction and the tangential direction respectively.
According to the method for evaluating a dental preparation effect provided by the invention, when a plurality of reference surfaces are set in a plurality of directions according to a set step length, a plurality of sampling points on an outer contour surface of the reference model are determined based on the reference model, and the method specifically comprises the following steps:
setting a plurality of first reference surfaces according to a first setting step length in a first direction, setting a plurality of second reference surfaces according to a second setting step length in a second direction, and setting a plurality of third reference surfaces according to a third setting step length in a third direction based on the reference model;
determining a first sampling boundary line obtained by intersecting each first reference surface with an outer contour surface of the reference model, and determining an intersection point of each second reference surface and each third reference surface with the first sampling boundary line as the sampling point;
determining a second sampling boundary line obtained by intersecting each second reference surface with the outer contour surface of the reference model, and determining the intersection point of each first reference surface and each third reference surface with the second sampling boundary line as the sampling point;
and determining that each third reference surface intersects with the outer contour surface of the reference model to obtain a third sampling boundary line, and determining the intersection point of each first reference surface, each second reference surface and the third sampling boundary line as the sampling point.
According to the method for evaluating a dental preparation effect provided by the present invention, when a plurality of reference surfaces are set in a plurality of directions according to a set step length, the determining a calculated distance between each sampling point in the set direction and an outer contour surface of the model to be evaluated based on the registration model includes:
and in the registration model, determining the minimum distance between each sampling point on the sampling boundary line corresponding to each direction and the outer contour surface of the model to be evaluated in other directions, and taking the minimum distance as the calculated distance corresponding to the sampling point.
According to the method for evaluating the dental preparation effect provided by the invention, the model to be evaluated is scored according to the calculated distances corresponding to the sampling points and the set scoring rules, and the method specifically comprises the following steps:
calculating the average value of the calculated distances corresponding to the sampling points;
determining that the average value is larger than a first threshold value, and deducting a first deduction value on the basis of the first set value to obtain a second set value;
determining that the calculated distance corresponding to the sampling point is greater than a second threshold value, and acquiring a second deduction value corresponding to the sampling point;
And determining a total score according to the second set score and the second deduction value.
According to the dental preparation effect evaluation method provided by the invention, the second deduction value is an average value obtained by dividing the second set value by the total number of the sampling points.
According to the method for evaluating the dental preparation effect provided by the invention, the step of obtaining the second deduction value corresponding to the sampling point comprises the following steps:
calculating a difference value between the calculated distance corresponding to each sampling point and the second threshold value;
and under the condition that the calculated distance corresponding to the sampling point is larger than the second threshold value, determining the second deduction value according to the difference value.
According to the method for evaluating the dental preparation effect provided by the invention, the step of obtaining the second deduction value corresponding to the sampling point comprises the following steps:
dividing the outer contour surface of the reference model into a plurality of reference areas, and setting a second weight coefficient of the sampling point in each reference area;
and under the condition that the calculated distance corresponding to the sampling point is larger than the second threshold value, determining the second deduction value according to the second weight coefficient and the set deduction value.
The invention also provides a dental preparation effect detection apparatus comprising a memory, a processor and a computer program stored on the memory and operable on the processor, the processor implementing the steps of any one of the dental preparation effect evaluation methods described above when executing the program.
The present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the dental preparation effect evaluation method as described in any of the above.
According to the dental preparation effect evaluation method, the detection equipment and the storage medium, the reference model is registered with the model to be evaluated, and a plurality of sampling points are determined on the reference model. And then determining the calculated distance between each sampling point and the outer contour surface of the model to be evaluated in the registered three-dimensional model. The model to be evaluated is scored based on the calculation distance corresponding to each sampling point, so that quantitative evaluation of the tooth preparation effect of a student is realized, and the accuracy of the evaluation of the tooth preparation effect is improved.
Drawings
In order to more clearly illustrate the invention or the technical solutions of the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described, and it is obvious that the drawings in the description below are some embodiments of the invention, and other drawings can be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic flow chart of a method for evaluating a dental preparation effect according to the present invention;
FIG. 2 is a schematic illustration of outline contours being checked on the outline surfaces of a registration model;
FIG. 3 is a schematic illustration of determining a first direction in a reference model;
FIG. 4 is a schematic diagram of determining sampling points in the dental preparation effect evaluation method provided by the invention;
FIG. 5 is a schematic diagram showing the calculated distance between a sampling point on a certain reference plane and the outer contour plane of a model to be evaluated in the method for evaluating the tooth preparation effect;
fig. 6 is a schematic structural view of a dental preparation effect detecting apparatus provided by the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is apparent that the described embodiments are some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In describing embodiments of the present invention, it should be noted that the terms "first" and "second" are used for clarity in describing the numbering of the product components and do not represent any substantial distinction unless explicitly stated or defined otherwise. The specific meaning of the above terms in the embodiments of the present invention will be understood by those of ordinary skill in the art according to specific circumstances. Furthermore, the meaning of "plurality" is two or more.
The dental preparation effect evaluation method of the present invention is described below with reference to fig. 1 to 5.
Fig. 1 is a schematic flow chart of the method for evaluating the dental preparation effect according to the present invention. The tooth preparation effect evaluation method provided by the embodiment of the invention comprises the following steps:
s100, acquiring a three-dimensional model of a preparation to be evaluated and a three-dimensional model of a standard preparation, taking the three-dimensional model of the preparation to be evaluated as a model to be evaluated, and taking the three-dimensional model of the standard preparation as a reference model.
And S200, registering the model to be evaluated with the reference model to obtain a registration model.
S300, determining a plurality of sampling points on an outer contour surface of the reference model based on the reference model.
S400, determining the calculated distance between each sampling point and the outer contour surface of the model to be evaluated in the set direction based on the registration model.
S500, scoring the model to be evaluated according to the calculated distance and the set scoring rule.
The preparation to be evaluated is prepared by students, and the standard preparation can be prepared by teachers. The to-be-evaluated model and the reference model which both contain three-dimensional data parameters of the external contour of the preparation body can be obtained by scanning the to-be-evaluated preparation body and the standard preparation body through a dental oral scanning or warehouse scanning and other scanning instruments. The model to be evaluated and the reference model can be imported into three-dimensional software, and registration is carried out in the three-dimensional software to obtain a registration model.
A plurality of sampling points are determined on the outer contour surface of the reference model, and the calculated distance between each sampling point and the outer contour surface of the model to be evaluated is determined in the registration model. If the calculated distance corresponding to a certain sampling point is not zero, the difference between the model to be evaluated and the reference model is indicated at the sampling point, and if the calculated distance is larger, the difference between the two models at the sampling point is indicated to be larger. And scoring the whole preparation effect of the model to be evaluated based on the calculated distances corresponding to all the sampling points.
The calculation distance between each sampling point and the outer contour surface of the model to be evaluated is calculated in the three-dimensional space where the registration model is located along the set direction. The set direction can be the normal direction of the outer contour surface of the reference model at the sampling point; alternatively, the set direction is a certain direction or a plurality of directions in a specific three-dimensional space coordinate system.
According to the dental preparation effect evaluation method provided by the embodiment of the invention, the reference model is registered with the model to be evaluated, and a plurality of sampling points are determined on the reference model. And then determining the calculated distance between each sampling point and the outer contour surface of the model to be evaluated in the registered three-dimensional model. The model to be evaluated is scored based on the calculation distance corresponding to each sampling point, so that quantitative evaluation of the tooth preparation effect of a student is realized, and accuracy of the evaluation of the tooth preparation effect is improved, thereby being beneficial to generating improvement opinion.
In some embodiments of the present application, the registering the model to be evaluated with the reference model in step S100 to obtain a registered model includes:
s110, acquiring parameter information of a plurality of corresponding feature points on the reference model and the model to be evaluated.
And S120, carrying out primary registration on the reference model and the model to be evaluated according to the parameter information of the feature points.
S130, performing secondary registration on the reference model and the model to be evaluated by adopting an iterative closest point algorithm after the primary registration to obtain the registration model.
Specifically, feature points can be manually selected on the reference model and the model to be evaluated through a visual interface of three-dimensional software. The number of the feature points is greater than or equal to three. For example, feature points A1, B1 and C1 are selected on a reference model, feature points A2, B2 and C2 are selected on a model to be evaluated, and then A1, B1, C1, A2, B2 and C2 are matched in a one-to-one correspondence manner, so that a coarse registration model is obtained. And then, based on the coarse registration model, adopting an ICP algorithm (iterative closest point algorithm) to automatically perform fine registration, and obtaining a final registration model.
In some embodiments of the present application, the dental preparation effect evaluation method includes:
And acquiring parameter information of a closed outer contour line surrounding the tooth to be evaluated on the outer contour surface of the registration model.
And dividing a model part of the registration model, which is positioned on the side, far away from the tooth root, of the outer contour line according to the parameter information of the outer contour line.
And determining to score the model to be evaluated based on the segmented model parts.
Dental preparation is typically performed by grinding or the like of a partial region of a particular tooth. Therefore, the evaluation operation of tooth preparation in the embodiment of the invention can not relate to the whole model to be evaluated, but only select the data parameters in the area corresponding to the ground tooth to participate in the evaluation operation, and the other data outside the area do not participate in the evaluation operation, so that the calculated amount is reduced, and the evaluation time is quickened.
Specifically, an outer contour line attached to the outer contour surface of the registration model can be manually selected through a visual interface of three-dimensional software, and the outer contour line is a closed curve surrounding the periphery of the tooth body to be evaluated. And dividing the model part of the outer contour line far away from the tooth root side according to the coordinate parameter information of the outer contour line in the space coordinate system.
The segmented model part comprises a model to be evaluated and a reference model corresponding to the tooth to be evaluated. A plurality of sampling points on the outer contour surface are determined based on a reference model in the model section, and a calculated distance between each sampling point in a set direction and the outer contour surface of the model to be evaluated in the model section is determined based on the model section.
For example, the tooth body to be evaluated is a lower first bicuspid tooth, as shown in fig. 2, a schematic diagram of hooking an outer contour line on an outer contour surface of the registration model is shown, an outer contour line surrounding the lower first bicuspid tooth is hooked in fig. 2, and a model part above the outer contour line participates in evaluation operation.
In some embodiments of the present application, determining a plurality of sampling points on an outer contour surface of the reference model based on the reference model in step S300 includes:
s310, setting a plurality of reference surfaces in one direction or in a plurality of directions respectively according to a set step based on the reference model. Wherein, one direction and a plurality of directions are the setting direction.
S320, determining sampling boundary lines obtained by intersecting each reference plane with the outer contour plane of the reference model, and determining a plurality of sampling points on each sampling boundary line.
It should be noted that the sampling boundary line may be a boundary line obtained by intersecting the reference plane with an outer contour plane of the reference model corresponding to the whole standard preparation body. The sampling boundary line may also be a boundary line obtained by intersecting the reference plane and the outer contour plane of the reference model corresponding to one or more tooth bodies to be evaluated.
When a plurality of reference surfaces are set in one direction according to a set step length, a first direction is determined in a space coordinate system where the reference model is located, and the first direction may be any specific direction in the space coordinate system. The plurality of first reference surfaces set in the first direction in a first set step are orthogonal to the first direction. Each first reference surface is intersected with the reference model, a first sampling boundary line corresponding to the outer contour surface of the reference model is generated, and sampling points are determined on each first sampling boundary line.
Or further, determining a second direction in a space coordinate system where the reference model is located, wherein the second direction can be a direction perpendicular to the first direction, and setting a plurality of second reference surfaces perpendicular to the second direction according to a second set step length in the second direction. Each second reference surface is intersected with the reference model, a second sampling boundary line corresponding to the outer contour surface of the reference model is generated, and sampling points are determined on each second sampling boundary line.
Or further, determining a third direction in a space coordinate system where the reference model is located, wherein the third direction can be selected to be orthogonal to the first direction and the second direction. And setting a plurality of third reference surfaces orthogonal to the third direction according to a third setting step length in the third direction. Each third reference surface is intersected with the reference model, a third sampling boundary line corresponding to the outer contour surface of the reference model is generated, and sampling points are determined on each third sampling boundary line.
In some embodiments of the present invention, a plurality of reference planes are set in three directions in set steps, respectively, based on the reference model. The three directions are the height direction of the tooth to be evaluated, the tangential direction of the dental arch curve at the tooth to be evaluated and the direction orthogonal to the height direction and the tangential direction respectively.
Wherein, a schematic diagram of determining a first direction in a reference model is shown in fig. 3. The two directions perpendicular to each other in the figure are the X direction and the Y direction, respectively. The X-direction is the tangential direction of the dental arch curve (the dental arch curve is an ideal curve tangential to the dentition) at the tooth to be evaluated. For example, a point on the dental arch curve, which is located at the center of the tooth to be evaluated, can be manually selected through a visual interface of three-dimensional software, and a tangent line at the point is taken. The Y direction is optionally orthogonal to both the X direction and the tooth height direction. The tooth height direction can also be manually selected on a visual interface of three-dimensional software. In fig. 3, the direction perpendicular to the paper surface is the height direction of the tooth body, and in this embodiment, the height direction of the tooth body is defined as the Z direction.
The first direction, the second direction, and the third direction may be defined in a one-to-one correspondence relationship with the X direction, the Y direction, and the Z direction.
There are a variety of ways to determine the sampling point on the sampling boundary line. For example, on each sampling boundary line, a plurality of sampling points are determined at a preset pitch along the sampling boundary line. Or, in the embodiment of the present invention, when the plurality of reference planes are set in the plurality of directions according to the set step sizes, the determining, based on the reference model, the plurality of sampling points on the outer contour plane of the reference model in step S300 specifically includes:
s301, setting a plurality of first reference surfaces according to a first setting step length in a first direction, setting a plurality of second reference surfaces according to a second setting step length in a second direction, and setting a plurality of third reference surfaces according to a third setting step length in a third direction based on the reference model.
S302, determining first sampling boundary lines obtained by intersecting each first reference plane with the outer contour plane of the reference model, and determining intersection points of each second reference plane and each third reference plane with the first sampling boundary lines as sampling points.
S303, determining second sampling boundary lines obtained by intersecting each second reference plane with the outer contour plane of the reference model, and determining the intersection points of each first reference plane and each third reference plane with the second sampling boundary lines as the sampling points.
S304, determining a third sampling boundary line obtained by intersecting each third reference plane with the outer contour plane of the reference model, and determining the intersection point of each first reference plane, each second reference plane and the third sampling boundary line as the sampling point.
The first setting step length, the second setting step length and the third setting step length may be equal or different. The present embodiment takes the first direction as the Z direction of the tooth to be evaluated, the second direction as the X direction, and the third direction as the Y direction as specific examples. The maximum size of the reference model of the tooth to be evaluated, which is cut from the preparation, in the first direction is 6.1mm, and the first set step size is 1mm. Then 6 first reference planes may be set in the first direction to obtain 6 first sampling boundary lines, and a plurality of sampling points are determined on the 6 first sampling boundary lines, respectively.
Fig. 4 is a schematic diagram showing the determination of sampling points in the dental preparation effect evaluation method according to the present invention. The closed curve in fig. 4 is a first sampling boundary line of the second bicuspid tooth in fig. 3 on a first reference plane. The maximum size of the tooth area to be evaluated, which is surrounded by the first sampling boundary line, in the X direction is 8.2mm, and the second set step length is 1mm. Then 8 second reference planes may be set in the X-direction to intersect the first sampling boundary line to obtain some sampling points on the first sampling boundary line.
As shown in fig. 4, the maximum size of the tooth region to be evaluated, which is surrounded by the first sampling boundary line, in the Y direction is 7.4mm, and the third set step size is 1mm. There are 7 third reference planes intersecting the first sampling boundary line in the Y-direction so that further sampling points on the first sampling boundary line are obtained. Namely, the intersection points of the second reference plane and the third reference plane and the first sampling boundary line are taken as sampling points to participate in evaluation operation.
Likewise, the steps of the method for determining the intersection point of each first reference plane and each third reference plane with the second sampling boundary line as the sampling point and determining the intersection point of each first reference plane and each second reference plane with the third sampling boundary line as the sampling point are similar to the above-mentioned steps for determining the intersection point of each first reference plane and each third reference plane with the second sampling boundary line as the sampling point, and the detailed description thereof is omitted.
In the embodiment of the present invention, when the plurality of reference surfaces are set in the plurality of directions according to the set step length, the determining, based on the registration model, the calculated distance between each sampling point in the set direction and the outer contour surface of the model to be evaluated in step S400 includes:
And in the registration model, determining the minimum distance between each sampling point on the sampling boundary line corresponding to each direction and the outer contour surface of the model to be evaluated in other directions, and taking the minimum distance as the calculated distance corresponding to the sampling point.
The present embodiment is specifically exemplified by the case where the first reference surface, the second reference surface, and the third reference surface are set correspondingly in the first direction, the second direction, and the third direction by the set step sizes, respectively, in the above embodiments. And respectively determining the calculated distance corresponding to each sampling point on the first sampling boundary line, the second sampling boundary line and the third sampling boundary line.
Specifically, a first distance and a second distance between each sampling point on the first sampling boundary line and the outer contour surface of the model to be evaluated in the second direction and the third direction are calculated, and the minimum value of the first distance and the second distance is used as the calculation distance corresponding to the corresponding sampling point. And calculating a third distance and a fourth distance between each sampling point on the second sampling boundary line and the outer contour surface of the model to be evaluated in the first direction and the third direction respectively, and taking the minimum value in the third distance and the fourth distance as the calculation distance corresponding to the corresponding sampling point. And calculating a fifth distance and a sixth distance between each sampling point on the third sampling boundary line and the outer contour surface of the model to be evaluated in the first direction and the second direction, and taking the minimum value in the fifth distance and the sixth distance as the calculated distance corresponding to the corresponding sampling point.
It should be noted that the plurality of directions may be only two directions, and may also refer to four directions or more. When the two directions are only provided, the distance between each sampling point on the sampling boundary line corresponding to each direction and the outer contour surface of the model to be evaluated in the other direction is the corresponding calculated distance.
Fig. 5 is a schematic diagram showing a calculation distance between a sampling point on a certain reference plane and an outer contour plane of a model to be evaluated in the dental preparation effect evaluation method provided by the present invention. The sampling point shown in fig. 5 is located on the third reference plane corresponding to the Y direction, and it can be seen from fig. 5 that there is a distance between the sampling point and the outline plane of the model to be evaluated. The distance between the sampling point and the model to be evaluated in the X direction is smaller than the distance between the sampling point and the model to be evaluated in the Y direction. The distance between the sampling point and the model to be evaluated in the X direction is selected as the calculated distance of the sampling point.
In some embodiments of the present invention, in step S400, scoring the model to be evaluated according to the calculated distances corresponding to the plurality of sampling points and a set scoring rule includes:
s410, calculating the average value of the calculated distances corresponding to the sampling points.
S420, determining that the average value is larger than a first threshold value, and deducting the first deduction value on the basis of the first set value to obtain a second set value.
S430, if the calculated distance corresponding to the sampling point is greater than a second threshold, obtaining a second deduction value corresponding to the sampling point.
S440, determining a total score according to the second set score and the second deduction value.
According to the embodiment of the invention, the calculated distances corresponding to the plurality of sampling points determined in the embodiment are quantized and scored according to the set scoring rule, the final score represents the quantization difference between the model to be evaluated and the reference model, and the preparation effect of the preparation body finished by the learner is objectively reflected according to the quantization difference.
Specifically, firstly, scoring operation is performed once, and the calculated distances of all sampling points are subjected to average value operation to obtain an average value mu of the calculated distances corresponding to the sampling points, wherein the average value mu represents the average difference between the whole model to be evaluated and the reference model. The first threshold σ1 is set to take into account the average difference. And if mu > sigma 1, deducting the first deduction value on the basis of the first set value to obtain a second set value.
For example, the first set score is 100 points full, σ1 is 0.2mm, σ2 is 0.5mm, and the first score is 5 points. If 100 sampling points are all used, the calculated average value mu is 0.4mm, and the average difference is larger than the first threshold sigma 1, the second set score value 95 is obtained through one scoring operation.
And then performing secondary scoring operation, and setting a second threshold sigma 2 to check the difference between the single sampling point and the reference model. And if the calculated distance corresponding to a certain sampling point is greater than sigma 2, obtaining a second deduction value corresponding to the sampling point. And determining the sum of second deduction values of all sampling points with calculated distances larger than sigma 2, and deducting the sum of the second deduction values on the basis of the second set value to obtain a final score.
The second deduction value corresponding to the sampling point can be obtained in various manners. In one embodiment, the second score is set to an average score obtained by dividing the second set score by the total number of sampling points. Then in the secondary scoring operation of the specific example, the second score corresponding to each sampling point is 0.95 score. If the calculated distance corresponding to the 10 sampling points is greater than 0.5mm, the sum of the second deduction values corresponding to the 10 sampling points is 9.5 points, and the final score is 95-9.5=85.5. If the calculated distances corresponding to all the sampling points are smaller than or equal to 0.5mm, the final score is 95 minutes.
In another embodiment of the present invention, the obtaining the second deduction value corresponding to the sampling point in step S430 includes:
S431, calculating a difference value between the calculated distance corresponding to each sampling point and the second threshold value.
S432, determining the second deduction value according to the difference value when the calculated distance corresponding to the sampling point is determined to be larger than the second threshold value.
The larger the difference between the calculated distance and the second threshold value is, the larger the calculated difference between the corresponding sampling point and the model to be evaluated is. In this embodiment, the second deduction value of each sampling point is determined according to the set multiple interval thresholds, and the greater the calculated difference is, the more deductions are.
Specifically, if the first threshold value sigma 1 is determined to be smaller than the difference value is determined to be smaller than the third threshold value sigma 3, the second deduction value takes a first preset value. If the third threshold sigma 3 is less than the difference value less than the second threshold sigma 2, the second deduction value takes a second preset value. If the difference value is more than the second threshold sigma 2, the second deduction value takes a third preset value. Wherein the first preset value is less than the second preset value and less than the third preset value. In this way, in the secondary scoring operation, the plurality of sampling points are divided into three grades to determine the second scoring value, so that the scoring is more accurate.
For example, the first threshold is 0.2mm, the second threshold is 0.5mm, and the third threshold is 0.35mm. If the calculated distance corresponding to a certain sampling point is 0.3mm, the corresponding second deduction value is 0.5mm. If the calculated distance corresponding to a certain sampling point is 0.4mm, the corresponding second deduction value is 0.7. If the calculated distance corresponding to a certain sampling point is 0.6mm, the corresponding second deduction value is 0.95.
Or, setting a first weight coefficient according to the difference value, and determining a second deduction value according to the first weight coefficient and the set deduction value. The higher the first weight coefficient, the more the points are deducted. For example, the deduction value is set to be 0.95 point, and if the first threshold sigma 1 is determined to be less than the difference value is determined to be less than the third threshold sigma 3, the first weight coefficient is set to be 0.5, and the second deduction value is set to be 0.5. If the third threshold sigma 3 is less than the difference value less than the second threshold sigma 2, the first weight coefficient is 0.7, and the second deduction value is 0.7. If the difference value is determined to be larger than the second threshold sigma 2, the first weight coefficient is 1, and the second deduction value is 0.95.
In still another embodiment of the present invention, the obtaining the second deduction value corresponding to the sampling point in step S430 includes:
s433, dividing the outer contour surface of the reference model into a plurality of reference areas, and setting a second weight coefficient of the sampling point in each reference area.
And S434, determining the second deduction value according to the second weight coefficient and the set deduction value under the condition that the calculated distance corresponding to the sampling point is determined to be larger than the second threshold value.
Specifically, a key reference area can be selected on the outer contour surface of the reference model through a visual interface of three-dimensional software, parameter information of the key reference area is obtained, and the whole outer contour surface is divided into a plurality of reference areas according to the parameter information of the key reference area. And determining a second weight coefficient of the sampling point in each reference area according to the importance degree of each reference area, wherein the higher the second weight coefficient is, the more the deduction is.
For example, the first critical reference area and the second critical reference area are selected on the outer contour surface, so that the entire outer contour surface of the reference model or the outer contour surface of the divided model part is divided into three reference areas. If the deduction value is set to be 1, the weight coefficient of the sampling point in the first key reference area is set to be 1, and the corresponding second deduction value is set to be 1. And setting the weight coefficient of the sampling point in the second key reference area to be 0.7, and setting the corresponding second deduction value to be 0.7. The weight coefficient of the sampling point in the other reference area is set to 0.5, and the corresponding second deduction value is 0.5.
As shown in fig. 6, which is a schematic structural diagram of a dental preparation effect detection apparatus provided by the present invention, the dental preparation effect detection apparatus may include: processor 610, communication interface (Communications Interface) 620, memory 630, and communication bus 640, wherein processor 610, communication interface 620, and memory 630 communicate with each other via communication bus 640. The processor 610 may call logic instructions in the memory 630 to perform the dental preparation effect evaluation method according to the above embodiments, the method comprising:
Acquiring a three-dimensional model of a preparation to be evaluated and a three-dimensional model of a standard preparation, taking the three-dimensional model of the preparation to be evaluated as a model to be evaluated, and taking the three-dimensional model of the standard preparation as a reference model;
registering the model to be evaluated with the reference model to obtain a registration model;
determining a plurality of sampling points on an outer contour surface of the reference model based on the reference model;
determining the calculated distance between each sampling point and the outer contour surface of the model to be evaluated in the set direction based on the registration model;
and scoring the model to be evaluated according to the calculated distance and the set scoring rule.
Further, the logic instructions in the memory 630 may be implemented in the form of software functional units and stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, the present invention also provides a computer program product comprising a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions which, when executed by a computer, enable the computer to perform the dental preparation effect evaluation method provided by the above methods, the method comprising:
acquiring a three-dimensional model of a preparation to be evaluated and a three-dimensional model of a standard preparation, taking the three-dimensional model of the preparation to be evaluated as a model to be evaluated, and taking the three-dimensional model of the standard preparation as a reference model;
registering the model to be evaluated with the reference model to obtain a registration model;
determining a plurality of sampling points on an outer contour surface of the reference model based on the reference model;
determining the calculated distance between each sampling point and the outer contour surface of the model to be evaluated in the set direction based on the registration model;
and scoring the model to be evaluated according to the calculated distance and the set scoring rule.
In still another aspect, the present invention also provides a non-transitory computer-readable storage medium having stored thereon a computer program which, when executed by a processor, is implemented to perform the above-provided dental preparation effect evaluation methods, the method comprising:
Acquiring a three-dimensional model of a preparation to be evaluated and a three-dimensional model of a standard preparation, taking the three-dimensional model of the preparation to be evaluated as a model to be evaluated, and taking the three-dimensional model of the standard preparation as a reference model;
registering the model to be evaluated with the reference model to obtain a registration model;
determining a plurality of sampling points on an outer contour surface of the reference model based on the reference model;
determining the calculated distance between each sampling point and the outer contour surface of the model to be evaluated in the set direction based on the registration model;
and scoring the model to be evaluated according to the calculated distance and the set scoring rule.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims (12)

1. A dental preparation effect evaluation method, comprising:
acquiring a three-dimensional model of a preparation to be evaluated and a three-dimensional model of a standard preparation, taking the three-dimensional model of the preparation to be evaluated as a model to be evaluated, and taking the three-dimensional model of the standard preparation as a reference model;
registering the model to be evaluated with the reference model to obtain a registration model;
determining a plurality of sampling points on an outer contour surface of the reference model based on the reference model, comprising: setting a plurality of reference surfaces in one direction or in a plurality of directions respectively according to a set step length based on the reference model; determining sampling boundary lines obtained by intersecting each reference surface with an outer contour surface of the reference model, and determining a plurality of sampling points on each sampling boundary line;
determining the calculated distance between each sampling point and the outer contour surface of the model to be evaluated in the set direction based on the registration model;
and scoring the model to be evaluated according to the calculated distance and the set scoring rule.
2. The method according to claim 1, wherein registering the model to be evaluated with the reference model to obtain a registered model comprises:
Acquiring parameter information of a plurality of corresponding feature points on the reference model and the model to be evaluated;
registering the reference model and the model to be evaluated for one time according to the parameter information of the feature points;
and performing secondary registration on the reference model and the model to be evaluated by adopting an iterative closest point algorithm after the primary registration to obtain the registration model.
3. The dental preparation effect evaluation method according to claim 1, comprising:
acquiring parameter information of a closed outer contour line surrounding a tooth to be evaluated on an outer contour surface of the registration model;
dividing a model part of the registration model, which is positioned on the side, far away from the tooth root, of the outer contour line according to the parameter information of the outer contour line;
and scoring the model to be evaluated based on the segmented model parts.
4. The dental preparation effect evaluation method according to claim 1, wherein a plurality of reference surfaces are set in three directions in set steps, respectively, based on the reference model; the three directions are the height direction of the tooth to be evaluated, the tangential direction of the dental arch curve at the tooth to be evaluated and the direction orthogonal to the height direction and the tangential direction respectively.
5. The dental preparation effect evaluation method according to claim 1, wherein in the case where the plurality of reference surfaces are set in the plurality of directions by set steps, respectively, the determining a plurality of sampling points on the outer contour surface of the reference model based on the reference model specifically includes:
setting a plurality of first reference surfaces according to a first setting step length in a first direction, setting a plurality of second reference surfaces according to a second setting step length in a second direction, and setting a plurality of third reference surfaces according to a third setting step length in a third direction based on the reference model;
determining a first sampling boundary line obtained by intersecting each first reference surface with an outer contour surface of the reference model, and determining an intersection point of each second reference surface and each third reference surface with the first sampling boundary line as the sampling point;
determining a second sampling boundary line obtained by intersecting each second reference surface with the outer contour surface of the reference model, and determining the intersection point of each first reference surface and each third reference surface with the second sampling boundary line as the sampling point;
and determining that each third reference surface intersects with the outer contour surface of the reference model to obtain a third sampling boundary line, and determining the intersection point of each first reference surface, each second reference surface and the third sampling boundary line as the sampling point.
6. The dental preparation effect evaluation method according to claim 1, wherein in the case where the plurality of reference surfaces are set in the plurality of directions by set steps, respectively, the determining the calculated distance between each of the sampling points in the set direction and the outer contour surface of the model to be evaluated based on the registration model includes:
and in the registration model, determining the minimum distance between each sampling point on the sampling boundary line corresponding to each direction and the outer contour surface of the model to be evaluated in other directions, and taking the minimum distance as the calculated distance corresponding to the sampling point.
7. The method for evaluating a dental preparation effect according to claim 1, wherein the scoring the model to be evaluated according to the calculated distances corresponding to the plurality of sampling points and a set scoring rule specifically comprises:
calculating the average value of the calculated distances corresponding to the sampling points;
determining that the average value is larger than a first threshold value, and deducting a first deduction value on the basis of the first set value to obtain a second set value;
determining that the calculated distance corresponding to the sampling point is greater than a second threshold value, and acquiring a second deduction value corresponding to the sampling point;
And determining a total score according to the second set score and the second deduction value.
8. The dental preparation effect evaluation method according to claim 7, wherein the second deduction value is an average value obtained by dividing the second set value by the total number of sampling points.
9. The method for evaluating a dental preparation effect according to claim 7, wherein the obtaining the second deduction value corresponding to the sampling point comprises:
calculating a difference value between the calculated distance corresponding to each sampling point and the second threshold value;
and under the condition that the calculated distance corresponding to the sampling point is larger than the second threshold value, determining the second deduction value according to the difference value.
10. The method for evaluating a dental preparation effect according to claim 7, wherein the obtaining the second deduction value corresponding to the sampling point comprises:
dividing the outer contour surface of the reference model into a plurality of reference areas, and setting a second weight coefficient of the sampling point in each reference area;
and under the condition that the calculated distance corresponding to the sampling point is larger than the second threshold value, determining the second deduction value according to the second weight coefficient and the set deduction value.
11. A dental preparation effect detection apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor, when executing the program, implements the steps of the dental preparation effect evaluation method according to any one of claims 1 to 10.
12. A non-transitory computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the steps of the dental preparation effect evaluation method according to any one of claims 1 to 10.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116737031A (en) * 2023-08-10 2023-09-12 吉林大学 Tooth root information visualization system and method based on mixed reality

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107292951A (en) * 2017-06-14 2017-10-24 杭州美齐科技有限公司 A kind of Dental Erosion algorithm based on many set templates
CN108648283A (en) * 2018-04-02 2018-10-12 北京正齐口腔医疗技术有限公司 Tooth dividing method and device
CN109448113A (en) * 2018-10-30 2019-03-08 西安增材制造国家研究院有限公司 A kind of generation method of the virtual root of the tooth for area of computer aided stealth correction, storage equipment and computer
CN110826902A (en) * 2019-10-31 2020-02-21 北京东软望海科技有限公司 Target object assessment and evaluation method and device, computer equipment and storage medium
CN112967219A (en) * 2021-03-17 2021-06-15 复旦大学附属华山医院 Two-stage dental point cloud completion method and system based on deep learning network

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10614174B2 (en) * 2015-01-30 2020-04-07 Dentsply Sirona Inc. System and method for adding surface detail to digital crown models created using statistical techniques

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107292951A (en) * 2017-06-14 2017-10-24 杭州美齐科技有限公司 A kind of Dental Erosion algorithm based on many set templates
CN108648283A (en) * 2018-04-02 2018-10-12 北京正齐口腔医疗技术有限公司 Tooth dividing method and device
CN109448113A (en) * 2018-10-30 2019-03-08 西安增材制造国家研究院有限公司 A kind of generation method of the virtual root of the tooth for area of computer aided stealth correction, storage equipment and computer
CN110826902A (en) * 2019-10-31 2020-02-21 北京东软望海科技有限公司 Target object assessment and evaluation method and device, computer equipment and storage medium
CN112967219A (en) * 2021-03-17 2021-06-15 复旦大学附属华山医院 Two-stage dental point cloud completion method and system based on deep learning network

Non-Patent Citations (6)

* Cited by examiner, † Cited by third party
Title
Effect of different software programs on the accuracy of dental scanner using three-dimensional analysis;《International Journal of Environmental Research and Public Health》;第18卷(第16期);1-13 *
一种牙冠预备体三维数字化模型的就位倒凹检测方法;刘思璇等;《科学技术与工程》;第11卷(第14期);3165-3167 *
不同扫描方法重建上颌牙列数字化模型的三维对比分析;李雅等;《现代口腔医学杂志》;第29卷(第3期);正文第158页 *
基于增强现实的机器人辅助牙体预备研究;黄致远;《中国优秀硕士学位论文全文数据库 (医药卫生科技辑)》(第2期);E080-164 *
放大镜与显微镜辅助下瓷贴面牙体预备效果的比较;葛严军等;《北京大学学报:医学版》;第51卷(第1期);100–104 *
李雅等.不同扫描方法重建上颌牙列数字化模型的三维对比分析.《现代口腔医学杂志》.2015,(第3期),正文第158页. *

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