CN113888610A - Dental preparation effect evaluation method, detection device and storage medium - Google Patents
Dental preparation effect evaluation method, detection device and storage medium Download PDFInfo
- Publication number
- CN113888610A CN113888610A CN202111197256.2A CN202111197256A CN113888610A CN 113888610 A CN113888610 A CN 113888610A CN 202111197256 A CN202111197256 A CN 202111197256A CN 113888610 A CN113888610 A CN 113888610A
- Authority
- CN
- China
- Prior art keywords
- model
- evaluated
- sampling
- outer contour
- determining
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000002360 preparation method Methods 0.000 title claims abstract description 104
- 230000000694 effects Effects 0.000 title claims abstract description 62
- 238000011156 evaluation Methods 0.000 title claims abstract description 36
- 238000001514 detection method Methods 0.000 title claims abstract description 11
- 238000005070 sampling Methods 0.000 claims abstract description 195
- 238000000034 method Methods 0.000 claims abstract description 32
- 238000004590 computer program Methods 0.000 claims description 9
- 238000004422 calculation algorithm Methods 0.000 claims description 4
- 210000002455 dental arch Anatomy 0.000 claims description 3
- 238000011158 quantitative evaluation Methods 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 9
- 102100037651 AP-2 complex subunit sigma Human genes 0.000 description 8
- 101000806914 Homo sapiens AP-2 complex subunit sigma Proteins 0.000 description 8
- 238000004364 calculation method Methods 0.000 description 6
- 238000004891 communication Methods 0.000 description 5
- 230000000007 visual effect Effects 0.000 description 5
- 210000004763 bicuspid Anatomy 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 2
- 230000003796 beauty Effects 0.000 description 1
- 230000002950 deficient Effects 0.000 description 1
- 208000002925 dental caries Diseases 0.000 description 1
- 210000004513 dentition Anatomy 0.000 description 1
- 230000006870 function Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000014759 maintenance of location Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000000214 mouth Anatomy 0.000 description 1
- 230000035790 physiological processes and functions Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000036346 tooth eruption Effects 0.000 description 1
- 238000011179 visual inspection Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
- G06T7/33—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods
- G06T7/344—Determination of transform parameters for the alignment of images, i.e. image registration using feature-based methods involving models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30036—Dental; Teeth
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30168—Image quality inspection
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/30—Computing systems specially adapted for manufacturing
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Computer Graphics (AREA)
- Geometry (AREA)
- Software Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- 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, detection equipment and a storage medium. The tooth preparation effect evaluation method comprises the steps of obtaining a three-dimensional model of a preparation body to be evaluated and a three-dimensional model of a standard preparation body, taking the three-dimensional model of the preparation body to be evaluated as the model to be evaluated, and taking the three-dimensional model of the standard preparation body as a reference model; registering the model to be evaluated and 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 a calculated distance between each sampling point and an outer contour surface of the model to be evaluated in a set direction based on the registration model; and scoring the model to be evaluated according to the calculated distance and a set scoring rule. The method and the device realize quantitative evaluation of the tooth preparation effect of the student and improve the accuracy of the evaluation of the tooth preparation effect.
Description
Technical Field
The invention relates to the technical field of dental preparation, in particular to a dental preparation effect evaluation method, detection equipment and a storage medium.
Background
Tooth preparation refers to the technical operation of restoring, improving or reconstructing the anatomical appearance and physiological function of a defective or missing tooth, removing caries and finishing the appearance of the adjacent tooth of the affected tooth or the missing tooth through a dental instrument so as to meet the requirements of retention, support, appearance, beauty and function of a prosthesis.
The tooth preparation operation is usually performed by a doctor holding a dental high-speed handpiece to perform cutting and grinding work on teeth. The shape accuracy of the prepared teeth depends on the clinical experience and technical level of a doctor due to the influence of factors such as hand shaking, narrow operation space in the oral cavity, and non-direct-view environment. In the learning process of the dental medical students, the traditional method for evaluating the tooth preparation effect is to directly carry out visual inspection by a guide, cannot form quantitative evaluation results, and is not accurate enough. In order to improve the learning efficiency, an objective and accurate evaluation method for tooth preparation effect is needed to guide the practical operation and improve the clinical technical level.
Disclosure of Invention
The invention provides a tooth preparation effect evaluation method, a detection device and a storage medium, which are used for solving the problems that the tooth preparation effect cannot be quantified and the evaluation result is not accurate in the prior art.
The invention provides a method for evaluating a tooth preparation effect, which comprises the following steps:
acquiring a three-dimensional model of a preparation body to be evaluated and a three-dimensional model of a standard preparation body, taking the three-dimensional model of the preparation body to be evaluated as the model to be evaluated, and taking the three-dimensional model of the standard preparation body as a reference model;
registering the model to be evaluated and 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 a calculated distance between each sampling point and an outer contour surface of the model to be evaluated in a set direction based on the registration model;
and scoring the model to be evaluated according to the calculated distance and a set scoring rule.
According to the method for evaluating the dental preparation effect provided by the invention, the registering the model to be evaluated and the reference model to obtain a registered model comprises the following steps:
acquiring parameter information of a plurality of corresponding characteristic points on the reference model and the model to be evaluated;
performing primary registration on the reference model and the model to be evaluated according to the parameter information of the characteristic points;
and after the primary registration, performing secondary registration on the reference model and the model to be evaluated by adopting an iterative closest point algorithm to obtain the registration model.
According to the invention, the method for evaluating the tooth preparation effect comprises the following steps:
acquiring parameter information of a closed outer contour line surrounding the tooth body to be evaluated on the outer contour surface of the registration model;
segmenting a model part of the registration model, which is positioned on the side of the outer contour line far away from the tooth root, according to the parameter information of the outer contour line;
and scoring the model to be evaluated based on the segmented model part.
According to the method for evaluating the dental preparation effect provided by the invention, the determination of the 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 according to set step lengths in one direction or a plurality of directions respectively based on the reference model;
and determining sampling boundary lines obtained by intersecting each reference surface with the outer contour surface of the reference model, and determining a plurality of sampling points on each sampling boundary line.
According to the tooth preparation effect evaluation method provided by the invention, a plurality of reference surfaces are respectively set in three directions according to set step lengths on the basis of the reference model; the three directions are respectively the height direction of the tooth body to be evaluated, the tangential direction of the dental arch curve at the tooth body to be evaluated and the direction orthogonal to the height direction and the tangential direction.
According to the present invention, in a case where a plurality of reference surfaces are set in a plurality of directions at set steps, respectively, the method for evaluating a dental preparation effect includes the steps of:
setting a plurality of first reference surfaces according to a first set step length in a first direction, setting a plurality of second reference surfaces according to a second set step length in a second direction, and setting a plurality of third reference surfaces according to a third set 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 the 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 an 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 each third reference surface to be intersected 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 and each second reference surface to the third sampling boundary line as the sampling point.
According to the tooth preparation effect evaluation method provided by the invention, in the case that a plurality of reference surfaces are respectively set in a plurality of directions according to set steps, the step of determining the calculated distance between each sampling point in the set direction and the outer contour surface of the model to be evaluated based on the registration model comprises the following steps:
in the registration model, 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 is determined, and the minimum distance is used as the calculated distance corresponding to the sampling point.
According to the tooth preparation effect evaluation method provided by the invention, the scoring of the model to be evaluated according to the calculated distances corresponding to the plurality of sampling points and a set scoring rule specifically comprises the following steps:
calculating an average value of the calculated distances corresponding to a plurality of 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 a first set value to obtain a second set value;
if the calculated distance corresponding to the sampling point is determined to be larger than a second threshold value, 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 method for evaluating the tooth preparation effect 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 tooth 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 determined to be larger than the second threshold value, determining the second deduction value according to the size of the difference value.
According to the method for evaluating the tooth 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 determined to be larger than the second threshold value, determining the second deduction value according to the second weight coefficient and a set deduction value.
The invention also provides a dental preparation effect detection device, which comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the program to realize the steps of the dental preparation effect evaluation method.
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 any one of the above.
According to the tooth preparation effect evaluation method, the detection device and the storage medium, the reference model and the model to be evaluated are registered, 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 calculated distance corresponding to each sampling point, so that quantitative evaluation of the tooth preparation effect of the student is realized, and the accuracy of evaluation of the tooth preparation effect is improved.
Drawings
In order to more clearly illustrate the technical solutions of the present invention or the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic flow chart of a method for evaluating the preparation effect of a tooth provided by the present invention;
FIG. 2 is a schematic diagram of the delineation of outer contour lines on the outer contour surface of the registration phantom;
FIG. 3 is a schematic illustration of determining a first orientation in a reference model;
FIG. 4 is a schematic diagram of the determination of sampling points in the evaluation method for dental preparation effect provided by the present invention;
FIG. 5 is a schematic diagram of a calculated distance between a sampling point on a reference surface and an outer contour surface of a model to be evaluated in the dental preparation effect evaluation method provided by the present invention;
fig. 6 is a schematic structural diagram of a tooth preparation effect detection device provided by the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In the description of the embodiments of the present invention, it should be noted that the terms "first" and "second" are used for the sake of clarity in describing the numbering of the components of the product and do not represent any substantial difference, unless explicitly stated or limited otherwise. Specific meanings of the above terms in the embodiments of the present invention can be understood by those of ordinary skill in the art according to specific situations. Further, "a plurality" means two or more.
The dental preparation effect evaluation method of the present invention will be described below with reference to fig. 1 to 5.
Fig. 1 is a schematic flow chart of a dental preparation effect evaluation method 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 body to be evaluated and a three-dimensional model of a standard preparation body, taking the three-dimensional model of the preparation body to be evaluated as the model to be evaluated, and taking the three-dimensional model of the standard preparation body as a reference model.
S200, registering the model to be evaluated and the reference model to obtain a registration model.
And S300, determining a plurality of sampling points on the outer contour surface of the reference model based on the reference model.
And 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.
And S500, scoring the model to be evaluated according to the calculated distance and a set scoring rule.
The preparation to be evaluated is a preparation prepared by the student, and the standard preparation can be a preparation prepared by the teacher. The preparation body to be evaluated and the standard preparation body can be scanned through a dental oral scanning instrument or a dental warehouse scanning instrument and the like, and the model to be evaluated and the reference model are obtained, wherein the model to be evaluated and the reference model both comprise three-dimensional data parameters of the external outline of the preparation body. 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.
And determining a plurality of sampling points on the outer contour surface of the reference model, and determining the calculated distance between each sampling point and the outer contour surface of the model to be evaluated 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 at the sampling point is indicated, and the larger the calculated distance is, the larger the difference between the two models at the sampling point is indicated. And the whole preparation effect of the model to be evaluated can be scored based on the calculated distances corresponding to all the sampling points.
And calculating the calculated distance between each sampling point and the outer contour surface of the model to be evaluated along the set direction in the three-dimensional space where the registration model is located. The set direction may be a normal direction at the sampling point on the outer contour surface of the reference model; alternatively, the set direction may be one or more directions in a specific three-dimensional space coordinate system.
According to the tooth preparation effect evaluation method provided by the embodiment of the invention, the reference model and the model to be evaluated are registered, 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 calculated distance corresponding to each sampling point, so that quantitative evaluation of the tooth preparation effect of the student is realized, the accuracy of evaluation of the tooth preparation effect is improved, and the generation of improvement opinions is facilitated.
In some embodiments of the present application, the registering the model to be evaluated and the reference model to obtain a registered model in step S100 includes:
and S110, acquiring parameter information of a plurality of corresponding characteristic points on the reference model and the model to be evaluated.
And S120, performing primary registration on the reference model and the model to be evaluated according to the parameter information of the plurality of feature points.
And 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 more 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 to obtain a coarse registration model. And then, based on the coarse registration model, automatically performing fine registration by adopting an ICP (iterative closest point) algorithm to obtain a final registration model.
In some embodiments of the present application, the method for evaluating the dental preparation effect includes:
and acquiring the parameter information of a closed outer contour line which surrounds the tooth body to be evaluated on the outer contour surface of the registration model.
And segmenting the model part of the registration model, which is positioned on the side of the outer contour line far away from the tooth root, according to the parameter information of the outer contour line.
And determining to score the model to be evaluated based on the segmented model part.
Dental preparation is typically an operation such as grinding a partial region of a particular tooth. Therefore, the evaluation operation of the embodiment of the invention for tooth preparation does not relate to the whole model to be evaluated, only the data parameters in the area corresponding to the ground tooth are selected to participate in the evaluation operation, and other data outside the area do not participate in the evaluation operation, so that the calculation amount is reduced, and the evaluation time is shortened.
Specifically, an outer contour line attached to the outer contour surface of the registration model can be manually selected on the outer contour surface of the registration model 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 divided model part comprises a model to be evaluated and a reference model corresponding to the tooth body to be evaluated. A plurality of sampling points on the outer contour surface of the model part are determined based on the reference model in the model part, and the calculated distance between each sampling point and the outer contour surface of the model to be evaluated in the model part in the set direction is determined based on the model part.
For example, the tooth body to be evaluated is the lower first bicuspid, as shown in fig. 2, a schematic diagram of an outer contour line drawn on the outer contour surface of the registration model is shown, in fig. 2, an outer contour line surrounding the lower first bicuspid is drawn, and the model part located above the outer contour line participates in the evaluation operation.
In some embodiments of the present application, the determining a plurality of sampling points on the outer contour surface of the reference model based on the reference model in step S300 includes:
and S310, setting a plurality of reference surfaces according to set step lengths in one direction or a plurality of directions respectively based on the reference model. Wherein, one direction and a plurality of directions are set directions.
And S320, determining a sampling boundary line obtained by intersecting each reference surface with the outer contour surface 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 surface with an outer contour surface of the reference model corresponding to the entire standard preparation. The sampling boundary line can also be a boundary line obtained by the intersection of the reference surface and the outer contour surface of the reference model corresponding to one or more tooth bodies to be evaluated.
When a plurality of reference surfaces are set according to a set step length in one direction, a first direction is determined in a space coordinate system where the reference model is located, and the first direction can be any specific direction in the space coordinate system. The plurality of first reference surfaces set in the first direction by the first set step length are all orthogonal to the first direction. Each first reference surface intersects 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, a second direction is determined in the space coordinate system where the reference model is located, the second direction may be a direction perpendicular to the first direction, and a plurality of second reference surfaces orthogonal to the second direction are set in the second direction by a second set step length. And 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 a sampling point is determined on each second sampling boundary line.
Or further, a third direction is determined in the spatial coordinate system in which the reference model is located, the third direction being selectable to be orthogonal to the first direction and the second direction. And setting a plurality of third reference surfaces which are orthogonal to the third direction according to a third set step length in the third direction. And 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 a sampling point is determined on each third sampling boundary line.
In some embodiments of the present invention, based on the reference model, a plurality of reference planes are set in three directions respectively by a set step length. The three directions are respectively the height direction of the tooth body to be evaluated, the tangential direction of the dental arch curve at the tooth body to be evaluated and the direction orthogonal to the height direction and the tangential direction.
Fig. 3 is a schematic diagram illustrating the determination of the first direction in the reference model. Two directions perpendicular to each other in the figure are the X direction and the Y direction, respectively. The X direction is a tangential direction of an arch curve (the arch curve is an ideal curve tangent to the dentition) at the tooth body to be evaluated. For example, a point on the arch curve 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 may be selected to be orthogonal to both the X direction and the tooth height direction. Wherein, the height direction of the tooth body can be manually selected on a visual interface of the three-dimensional software. The direction perpendicular to the paper in fig. 3 is the height direction of the tooth, and the height direction of the tooth is defined as the Z direction in this embodiment.
The first direction, the second direction, and the third direction may be defined in one-to-one correspondence with any one of the X direction, the Y direction, and the Z direction.
There are various ways to determine the sampling points on the sampling boundary lines. For example, on each sampling boundary line, a plurality of sampling points are determined at preset intervals along the sampling boundary line. Alternatively, in the embodiment of the present invention, in the case that the plurality of reference surfaces are respectively set in the plurality of directions by the set step size, the determining the plurality of sampling points on the outer contour surface of the reference model based on the reference model in step S300 specifically includes:
s301, based on the reference model, a plurality of first reference surfaces are set according to a first set step length in a first direction, a plurality of second reference surfaces are set according to a second set step length in a second direction, and a plurality of third reference surfaces are set according to a third set step length in a third direction.
S302, determining a first sampling boundary line obtained by intersecting each first reference surface and the outer contour surface of the reference model, and determining the intersection point of each second reference surface and each third reference surface and the first sampling boundary line as the sampling point.
And S303, 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.
S304, determining third sampling boundary lines obtained by intersecting each third reference surface with the outer contour surface of the reference model, and determining the intersection points of each first reference surface, each second reference surface and the third sampling boundary lines as the sampling points.
The first setting step, the second setting step and the third setting step may be equal or different. The present embodiment specifically exemplifies that the first direction is a Z direction of the tooth to be evaluated, the second direction is an X direction, and the third direction is a Y direction. The maximum size of the reference model of the tooth body to be evaluated, which is divided from the preparation body, in the first direction is 6.1mm, and the first set step length is 1 mm. 6 first reference surfaces may be set in the first direction so as to obtain 6 first sampling boundary lines on which a plurality of sampling points are determined, respectively.
Fig. 4 is a schematic diagram illustrating the determination of sampling points in the dental preparation effect evaluation method provided by the present invention. The closed curve in fig. 4 is a first sampled boundary line of the second bicuspid tooth in fig. 3 on a first reference surface. The maximum size of the tooth body area to be evaluated surrounded by the first sampling boundary line in the X direction is 8.2mm, and the second set step length is 1 mm. It can be set that 8 second reference surfaces intersect the first sampling boundary line in the X direction so that some sampling points on the first sampling boundary line are obtained.
As shown in fig. 4, the maximum size of the tooth body area to be evaluated surrounded by the first sampling boundary line in the Y direction is 7.4mm, and the third set step size is 1 mm. There are 7 third reference surfaces intersecting the first sampling boundary line in the Y direction so that further sample points on the first sampling boundary line are obtained. Namely, the intersection points of the second reference surface and the third reference surface with the first sampling boundary line are used as sampling points to participate in evaluation operation.
Similarly, the method steps of determining the intersection point of each first reference surface and each third reference surface with the second sampling boundary line as a sampling point, and determining the intersection point of each first reference surface and each second reference surface with the third sampling boundary line as a sampling point are similar to the above determination of the intersection point of each first reference surface and each third reference surface with the second sampling boundary line as a sampling point, and this embodiment is not described in detail again.
In the embodiment of the present invention, in the case that the plurality of reference surfaces are respectively set in the plurality of directions by the set step length, the determining, based on the registration model, the calculated distance between each of the sampling points and the outer contour surface of the model to be evaluated in the set direction in step S400 includes:
in the registration model, 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 is determined, and the minimum distance is used 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 in the first direction, the second direction, and the third direction, respectively, in a set step 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 calculated 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 of the third distance and the fourth distance as the calculated 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 of 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. And when the model is only in two directions, 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 illustrating a distance between a sampling point on a reference surface and an outer contour surface 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 surface corresponding to the Y direction, and it can be seen from fig. 5 that there is a distance between the sampling point and the outer contour surface 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, the scoring the model to be evaluated according to the calculated distances corresponding to the plurality of sampling points and a set scoring rule in step S400 includes:
s410, calculating an average value of the calculated distances corresponding to the plurality of sampling points.
S420, 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.
S430, if the calculated distance corresponding to the sampling point is determined to be larger than a second threshold value, a second deduction value corresponding to the sampling point is obtained.
S440, determining a total score according to the second set score and the second deduction value.
The embodiment of the invention carries out quantitative scoring on the calculated distances corresponding to the plurality of sampling points determined in the embodiment according to the set scoring rule, the final scoring represents the quantitative difference between the model to be evaluated and the reference model, and the preparation effect of the preparation body finished by the student is objectively reflected according to the quantitative difference.
Specifically, firstly, a scoring operation is performed once, the calculation distances of all sampling points are subjected to an average value operation, an average value mu of the calculation distances corresponding to the plurality of sampling points is obtained, and the average value mu represents the average difference between the whole model to be evaluated and the reference model. A first threshold σ 1 is set to assess the average difference. If mu is larger than sigma 1, deducting the first deduction value on the basis of the first set point value to obtain a second set point value.
For example, the first set point value is 100 points full, σ 1 is 0.2mm, σ 2 is 0.5mm, and the first deduct point value is 5 points. If 100 sampling points are totally arranged, the calculated average value mu is 0.4mm, and the average difference is larger than the first threshold value sigma 1, a scoring operation is carried out once to obtain a second set score of 95.
And then, performing secondary scoring operation, and setting a second threshold value sigma 2 to check the difference between a single sampling point and a reference model. And if the calculated distance corresponding to a certain sampling point is greater than sigma 2, acquiring a second deduction value corresponding to the sampling point. And determining the sum of the second deduction values of all the sampling points with the calculated distance larger than sigma 2, and deducting the sum of the second deduction values on the basis of a second set value to obtain the final grade.
The method for acquiring the second deduction value corresponding to the sampling point may be various. In one embodiment, the second score is set to the average score of the second set score divided by the total number of sample points. Then in the secondary scoring operation of the above specific example, the second deducted value corresponding to each sampling point is 0.95 point. If the calculated distance of 10 sampling points is greater than 0.5mm, the sum of the second deduction values of the 10 sampling points is determined to be 9.5 points, and the final point is 95-9.5-85.5. And if the calculated distances corresponding to all the sampling points are less than or equal to 0.5mm, the final score is 95.
In another embodiment of the present invention, the obtaining of the second deducted value corresponding to the sampling point in step S430 includes:
s431, calculating a difference between the calculated distance corresponding to each of the sampling points and the second threshold.
S432, under the condition that the calculated distance corresponding to the sampling point is determined to be larger than the second threshold value, determining the second deduction value according to the difference value.
The larger the difference between the calculation distance and the second threshold value is, the larger the calculation difference between the corresponding sampling point and the model to be evaluated is. The second deduction value of each sampling point is determined according to a plurality of set interval thresholds, and the deduction value is increased when the calculation difference is larger.
Specifically, if it is determined that the first threshold σ 1 is smaller than the difference value smaller than the third threshold σ 3, the second deduction value is a first preset value. And if the third threshold value sigma 3 is smaller than the difference value and smaller than the second threshold value sigma 2, taking a second preset value as the second deduction value. And if the difference value is larger than the second threshold value sigma 2, taking a third preset value as the second deduction value. Wherein the first preset value is less than the second preset value and less than the third preset value. Therefore, in the secondary scoring operation, the plurality of sampling points are divided into three levels to determine the second deduction value, so that the scoring is more accurate.
For example, the first threshold value is 0.2mm, the second threshold value is 0.5mm, and the third threshold value is 0.35 mm. And if the calculated distance corresponding to a certain sampling point is 0.3mm, the corresponding second deduction value is 0.5 mm. 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, a first weighting coefficient is set according to the difference value, and a second deduction value is determined according to the first weighting coefficient and the set deduction value. The higher the first weight factor, the more credits. For example, the deduction value is set to 0.95, and if it is determined that the first threshold value σ 1 < the difference < the third threshold value σ 3, the first weighting factor is 0.5 and the second deduction value is 0.5. If the third threshold value sigma 3 is less than the difference value less than the second threshold value sigma 2, the first weight coefficient is 0.7, and the second deduction value is 0.7. If the difference value is larger than the second threshold value sigma 2, the first weight coefficient is 1, and the second deduction value is 0.95.
In another embodiment of the present invention, the obtaining of the second deducted value corresponding to the sampling point in step S430 includes:
and 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.
S434, determining the second deduction value according to the second weighting factor and a set deduction value when it is determined that the calculated distance corresponding to the sampling point is greater than the second threshold.
Specifically, a key reference region 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 region is obtained, and the whole outer contour surface is divided into a plurality of reference regions according to the parameter information of the key reference region. And determining a second weight coefficient of the sampling points 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, a first key reference region and a second key reference region are mapped out 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 regions. If the deduction value is set to be 1, and the weight coefficient of the sampling point in the first key reference area is set to be 1, the corresponding second deduction value is 1. If the weighting factor of the sampling point in the second key reference region is set to 0.7, the corresponding second deduction value is 0.7. The weighting factor of the sample 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: a processor (processor)610, a communication Interface (Communications Interface)620, a memory (memory)630 and a communication bus 640, wherein the processor 610, the communication Interface 620 and the memory 630 communicate with each other via the communication bus 640. The processor 610 may call logic instructions in the memory 630 to execute the dental preparation effect evaluation method according to the above embodiments, the method comprising:
acquiring a three-dimensional model of a preparation body to be evaluated and a three-dimensional model of a standard preparation body, taking the three-dimensional model of the preparation body to be evaluated as the model to be evaluated, and taking the three-dimensional model of the standard preparation body as a reference model;
registering the model to be evaluated and 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 a calculated distance between each sampling point and an outer contour surface of the model to be evaluated in a set direction based on the registration model;
and scoring the model to be evaluated according to the calculated distance and a set scoring rule.
In addition, the logic instructions in the memory 630 may be implemented in software functional units and stored in a computer readable storage medium when the logic instructions are sold or used as independent products. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute 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), a magnetic disk or an optical disk, and 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 body to be evaluated and a three-dimensional model of a standard preparation body, taking the three-dimensional model of the preparation body to be evaluated as the model to be evaluated, and taking the three-dimensional model of the standard preparation body as a reference model;
registering the model to be evaluated and 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 a calculated distance between each sampling point and an outer contour surface of the model to be evaluated in a set direction based on the registration model;
and scoring the model to be evaluated according to the calculated distance and a set scoring rule.
In yet 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 method, the method comprising:
acquiring a three-dimensional model of a preparation body to be evaluated and a three-dimensional model of a standard preparation body, taking the three-dimensional model of the preparation body to be evaluated as the model to be evaluated, and taking the three-dimensional model of the standard preparation body as a reference model;
registering the model to be evaluated and 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 a calculated distance between each sampling point and an outer contour surface of the model to be evaluated in a set direction based on the registration model;
and scoring the model to be evaluated according to the calculated distance and a set scoring rule.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present 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 solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (13)
1. A method for evaluating a dental preparation effect, comprising:
acquiring a three-dimensional model of a preparation body to be evaluated and a three-dimensional model of a standard preparation body, taking the three-dimensional model of the preparation body to be evaluated as the model to be evaluated, and taking the three-dimensional model of the standard preparation body as a reference model;
registering the model to be evaluated and 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 a calculated distance between each sampling point and an outer contour surface of the model to be evaluated in a set direction based on the registration model;
and scoring the model to be evaluated according to the calculated distance and a set scoring rule.
2. The method for evaluating the dental preparation effect according to claim 1, wherein the registering the model to be evaluated with the reference model to obtain a registered model comprises:
acquiring parameter information of a plurality of corresponding characteristic points on the reference model and the model to be evaluated;
performing primary registration on the reference model and the model to be evaluated according to the parameter information of the characteristic points;
and after the primary registration, performing secondary registration on the reference model and the model to be evaluated by adopting an iterative closest point algorithm to obtain the registration model.
3. The method for evaluating the preparatory effect of a dental body according to claim 1, comprising:
acquiring parameter information of a closed outer contour line surrounding the tooth body to be evaluated on the outer contour surface of the registration model;
segmenting a model part of the registration model, which is positioned on the side of the outer contour line far away from the tooth root, according to the parameter information of the outer contour line;
and scoring the model to be evaluated based on the segmented model part.
4. The method of evaluating a dental preparation effect according to claim 1, wherein the determining a plurality of sampling points on an outer contour surface of the reference model based on the reference model comprises:
setting a plurality of reference surfaces according to set step lengths in one direction or a plurality of directions respectively based on the reference model;
and determining sampling boundary lines obtained by intersecting each reference surface with the outer contour surface of the reference model, and determining a plurality of sampling points on each sampling boundary line.
5. The method for evaluating a dental preparation effect according to claim 4, wherein a plurality of reference surfaces are set in a set step size in three directions, respectively, based on the reference model; the three directions are respectively the height direction of the tooth body to be evaluated, the tangential direction of the dental arch curve at the tooth body to be evaluated and the direction orthogonal to the height direction and the tangential direction.
6. The method for evaluating the dental preparation effect according to claim 4, wherein the determining a plurality of sampling points on the outer contour surface of the reference model based on the reference model when the plurality of reference surfaces are set in a plurality of directions by a set step size, specifically comprises:
setting a plurality of first reference surfaces according to a first set step length in a first direction, setting a plurality of second reference surfaces according to a second set step length in a second direction, and setting a plurality of third reference surfaces according to a third set 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 the 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 an 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 each third reference surface to be intersected 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 and each second reference surface to the third sampling boundary line as the sampling point.
7. The method for evaluating the dental preparation effect according to claim 4, wherein in the case where a plurality of reference surfaces are set in a set step size in a plurality of directions, respectively, the determining the calculated distance between each of the sampling points and the outer contour surface of the model to be evaluated in the set direction based on the registration model comprises:
in the registration model, 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 is determined, and the minimum distance is used as the calculated distance corresponding to the sampling point.
8. The method for evaluating dental preparation effects 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 an average value of the calculated distances corresponding to a plurality of 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 a first set value to obtain a second set value;
if the calculated distance corresponding to the sampling point is determined to be larger than a second threshold value, 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.
9. The method for evaluating the preparatory effect of dental bodies according to claim 8, wherein the second score is an average score obtained by dividing the second set score by the total number of the sampling points.
10. The method for evaluating the dental preparation effect according to claim 8, wherein the obtaining of 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 determined to be larger than the second threshold value, determining the second deduction value according to the size of the difference value.
11. The method for evaluating the dental preparation effect according to claim 8, wherein the obtaining of 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 determined to be larger than the second threshold value, determining the second deduction value according to the second weight coefficient and a set deduction value.
12. 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 11.
13. A non-transitory computer-readable storage medium having stored thereon a computer program, wherein the computer program, when being executed by a processor, implements the steps of the dental preparation effect evaluation method according to any one of claims 1 to 11.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111197256.2A CN113888610B (en) | 2021-10-14 | 2021-10-14 | Dental preparation effect evaluation method, detection apparatus, and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111197256.2A CN113888610B (en) | 2021-10-14 | 2021-10-14 | Dental preparation effect evaluation method, detection apparatus, and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113888610A true CN113888610A (en) | 2022-01-04 |
| CN113888610B CN113888610B (en) | 2023-11-07 |
Family
ID=79002769
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111197256.2A Active CN113888610B (en) | 2021-10-14 | 2021-10-14 | Dental preparation effect evaluation method, detection apparatus, and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113888610B (en) |
Cited By (1)
| 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 (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160224690A1 (en) * | 2015-01-30 | 2016-08-04 | Dentsply International, Inc. | System and Method for Adding Surface Detail to Digital Crown Models Created Using Statistical Techniques |
| 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 |
-
2021
- 2021-10-14 CN CN202111197256.2A patent/CN113888610B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160224690A1 (en) * | 2015-01-30 | 2016-08-04 | Dentsply International, Inc. | System and Method for Adding Surface Detail to Digital Crown Models Created Using Statistical Techniques |
| 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 (5)
| Title |
|---|
| "Effect of different software programs on the accuracy of dental scanner using three-dimensional analysis", 《INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH》, vol. 18, no. 16, pages 1 - 13 * |
| 刘思璇等: "一种牙冠预备体三维数字化模型的就位倒凹检测方法", 《科学技术与工程》, vol. 11, no. 14, pages 3165 - 3167 * |
| 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》, vol. 29, no. 3, pages 158 * |
| 葛严军等: "放大镜与显微镜辅助下瓷贴面牙体预备效果的比较", 《北京大学学报：医学版》, vol. 51, no. 1, pages 100 * |
| 黄致远: "基于增强现实的机器人辅助牙体预备研究", 《中国优秀硕士学位论文全文数据库 (医药卫生科技辑)》, no. 2, pages 080 - 164 * |
Cited By (1)
| 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 |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113888610B (en) | 2023-11-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US10629309B2 (en) | Method and system for 3D root canal treatment planning | |
| CN108986209B (en) | Method and system for evaluating implant planting precision | |
| ES2627810T3 (en) | Method and analysis system for the geometric analysis of exploration data of oral structures | |
| EP2468212A2 (en) | Computer-implemented method for digitally designing a dental restoration | |
| CN113728363B (en) | Method for generating dental model based on objective function | |
| Aleisa et al. | Convergence angles of clinical tooth preparations achieved by dental students at King Saud University, Saudi Arabia | |
| CN112515787B (en) | Three-dimensional dental data analysis method | |
| US20230298484A1 (en) | Phantom model of teeth set, method of evaluating scanning precision of scanner using the same, and method of evaluating 3D printing precision using the same | |
| US10456225B2 (en) | Method for clearing of virtual representations of objects | |
| CN112790879B (en) | Tooth axis coordinate system construction method and system of tooth model | |
| KR102132369B1 (en) | Tooth segmentation system and method | |
| Yuan et al. | Single‐tooth modeling for 3D dental model | |
| CN113888610A (en) | Dental preparation effect evaluation method, detection device and storage medium | |
| CN113786262B (en) | Preparation method of dental crown lengthening operation guide plate | |
| CN109598703B (en) | Method, system, computer-readable storage medium and device for processing dental image | |
| Han et al. | Feasibility of software-based assessment for automated evaluation of tooth preparation for dental crown by using a computational geometric algorithm | |
| US20230162457A1 (en) | Method and system for evaluating a dental preparation surface | |
| Greany et al. | Developing an all‐digital workflow for dental skills assessment: part I, visual inspection exhibits low precision and accuracy | |
| CN116549148A (en) | Tooth arrangement method and device of three-dimensional tooth model and electronic equipment | |
| CN113274150A (en) | Gum construction method and system | |
| CN117137696B (en) | Temporomandibular joint prosthesis implantation method, device, equipment and storage medium | |
| CN107616851B (en) | Method and system for creating dental implant guide plate | |
| Buhăţel et al. | Using laser scanning to measure the difference between classical individual custom trays and 3D ideal individual custom trays in the totally edentulous | |
| KR20220129476A (en) | Data processing method | |
| CN115547462A (en) | Construction method of tooth type database and related device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |