CN117689824B - Method for generating prognosis image of dental prosthetic membrane material guided bone regeneration in dental implant - Google Patents
Method for generating prognosis image of dental prosthetic membrane material guided bone regeneration in dental implant Download PDFInfo
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- 239000004053 dental implant Substances 0.000 title claims abstract description 44
- 238000000034 method Methods 0.000 title claims abstract description 36
- 239000000463 material Substances 0.000 title claims abstract description 28
- 238000004393 prognosis Methods 0.000 title claims abstract description 28
- 230000010478 bone regeneration Effects 0.000 title claims abstract description 14
- 239000012528 membrane Substances 0.000 title claims abstract description 12
- 230000008929 regeneration Effects 0.000 claims abstract description 91
- 238000011069 regeneration method Methods 0.000 claims abstract description 91
- 210000000214 mouth Anatomy 0.000 claims abstract description 68
- 230000002427 irreversible effect Effects 0.000 claims abstract description 28
- 238000002513 implantation Methods 0.000 claims abstract description 24
- 238000010521 absorption reaction Methods 0.000 claims abstract description 21
- 230000000295 complement effect Effects 0.000 claims description 21
- 230000005484 gravity Effects 0.000 claims description 15
- 238000013507 mapping Methods 0.000 claims description 15
- 230000002441 reversible effect Effects 0.000 claims description 11
- 230000001172 regenerating effect Effects 0.000 claims description 5
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 238000003708 edge detection Methods 0.000 claims description 3
- 230000008859 change Effects 0.000 abstract description 14
- 210000000988 bone and bone Anatomy 0.000 abstract description 13
- 239000007943 implant Substances 0.000 abstract description 11
- 230000005540 biological transmission Effects 0.000 abstract description 9
- 206010003694 Atrophy Diseases 0.000 abstract description 8
- 210000001909 alveolar process Anatomy 0.000 abstract description 8
- 230000037444 atrophy Effects 0.000 abstract description 8
- 230000001788 irregular Effects 0.000 abstract description 5
- 230000008439 repair process Effects 0.000 description 12
- 230000000694 effects Effects 0.000 description 11
- 230000007547 defect Effects 0.000 description 4
- 208000006386 Bone Resorption Diseases 0.000 description 2
- 206010061218 Inflammation Diseases 0.000 description 2
- RTAQQCXQSZGOHL-UHFFFAOYSA-N Titanium Chemical compound [Ti] RTAQQCXQSZGOHL-UHFFFAOYSA-N 0.000 description 2
- 230000024279 bone resorption Effects 0.000 description 2
- 238000007408 cone-beam computed tomography Methods 0.000 description 2
- 230000003247 decreasing effect Effects 0.000 description 2
- 230000004054 inflammatory process Effects 0.000 description 2
- 208000014674 injury Diseases 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 239000003826 tablet Substances 0.000 description 2
- 229910052719 titanium Inorganic materials 0.000 description 2
- 239000010936 titanium Substances 0.000 description 2
- 241000968420 Dynamena pumila Species 0.000 description 1
- 206010037464 Pulpitis dental Diseases 0.000 description 1
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000009087 cell motility Effects 0.000 description 1
- 230000006378 damage Effects 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000002955 isolation Methods 0.000 description 1
- 230000011164 ossification Effects 0.000 description 1
- 208000028169 periodontal disease Diseases 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 238000001356 surgical procedure Methods 0.000 description 1
- 230000008733 trauma Effects 0.000 description 1
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- 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
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
- G06T19/20—Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
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- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
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- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10081—Computed x-ray tomography [CT]
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- 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
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Abstract
The invention belongs to the technical field of image generation, and provides a method for generating a prognosis image of dental prosthetic membrane material guided bone regeneration in dental implant, which specifically comprises the following steps: marking tooth implantation areas on the three-dimensional images of the teeth of each oral cavity; calculating the regeneration stability of the dental implantation area of each oral cavity tooth three-dimensional image; judging whether a dental implant area corresponding to the latest shot oral cavity CT is an irreversible area or not; and carrying out regeneration absorption adjustment on the irreversible area on the three-dimensional image of the recently shot oral cavity tooth to obtain a prognosis image. The accuracy of the generated prognosis image is ensured, and the interference of irregular change unstable factors generated by the change of the dental implantation area along with the time caused by the problems of atrophy of the alveolar ridge, no transmission area around the implant, overlarge marginal bone absorption and the like on the reconstructed three-dimensional model is eliminated.
Description
Technical Field
The invention belongs to the technical field of image generation, and particularly relates to a method for generating a prognosis image of bone regeneration guided by an oral cavity repair film material in dental implantation.
Background
The key point of successful implant is that the periphery of the implant has sufficient bone mass and healthy bone mass, although the dental prosthetic membrane material such as the sea Ot prosthetic membrane material or the titanium prosthetic membrane material is used in the dental implant, according to the cell characteristics, the cell movement speed is reduced by means of the biological membrane isolation effect so as to repair the bone defect area, but the defect area before the repair is caused by trauma, periodontal disease, decayed tooth and other reasons, the reasons can lead to the loss of the width or height of alveolar bones at different degrees in the defect area, the problem of the loss of the width or height of the alveolar bones can be along with the reasons of adjacent tooth inflammation, misjaw deformity, complications caused by poor oral hygiene and the like after the dental implant, the oral repair frequently has the atrophy phenomenon of the alveolar ridge, X-ray examination shows that the periphery of the implant has no transmission area, the edge bone absorption is overlarge (more than 2 mm) in 1 year, and the like. If the time span of CT acquisition is not large, the changes of the problems generated between two adjacent CT are very small, and the problems can not be identified by manpower, in order to identify the problems on CT images, the existing method is to detect the bone grafting height and the bone formation thickness of a patient at intervals of more than three months (long period) after operation, so as to artificially and subjectively judge the bone defect regeneration condition of the patient; however, the interval length of the long period is too long, so that the dental implant region may develop into irreversible risks such as excessive marginal bone resorption, alveolar ridge atrophy, excessive X-ray transmission region around the implant, and the like, and in order to accurately simulate the treatment effect in advance and correct the risks of the dental implant region in time, the injury to a patient is reduced, unnecessary treatment adjustment is reduced, and the treatment period is prolonged, so that the effect of the predicted dental implant treatment in a short period is required.
Disclosure of Invention
The present invention aims to solve at least one of the technical problems in the related art to some extent. Therefore, a first object of the present invention is to provide a method for predicting orthodontic effect, which can definitely predict the final result of treatment in the early treatment period, thereby reducing unnecessary treatment adjustment and prolonging treatment period, reducing uncertainty of orthodontic result, and improving treatment quality;
a second object of the present invention is to propose a system for predicting orthodontic effects.
To achieve the above object, an embodiment of a first aspect of the present invention provides a method for predicting orthodontic effect, the method comprising the steps of:
s100, after a patient performs dental implantation by using an oral cavity restoration film material, shooting oral cavity CT at intervals of set time;
S200, respectively carrying out three-dimensional reconstruction on each acquired oral cavity CT according to the shooting time sequence to obtain three-dimensional images of each oral cavity tooth, and marking a tooth implantation area on each oral cavity tooth three-dimensional image;
S300, sequentially calculating the regeneration stability of the dental implantation areas of the three-dimensional images of the teeth of each oral cavity;
S400, if the regeneration stability of the dental implant area corresponding to the latest shot oral cavity CT is smaller than or equal to a stability threshold value, recording the dental implant area corresponding to the latest shot oral cavity CT as an irreversible area;
S500, performing regeneration absorption adjustment on an irreversible area on the three-dimensional image of the recently shot oral cavity tooth to obtain a prognosis image.
Further, in S100, the oral CT is obtained by scanning the oral CBCT.
Further, in S100, the set time is [10,60] days.
Further, in S100, the oral repair film material is a sea-One repair film material or a titanium film repair film material.
Further, in S200, the three-dimensional reconstruction method is to reconstruct three-dimensional images of oral teeth by performing three-dimensional reconstruction on oral CT through the three-dimensional reconstruction function of the mics software.
Further, in S200, the dental implant area is a dental implant area manually marked on the three-dimensional image of the oral cavity tooth obtained by the first photographing, and the central positions of the dental implant areas on all the three-dimensional images of the oral cavity tooth photographed after the first photographing are the same.
In order to identify irregular changes (possibly midway improvement phenomenon in the process along with medication or corrective surgery) of a dental implant area caused by the problems of the atrophy phenomenon of an alveolar ridge generated between two adjacent CT, side effect influence of an oral cavity repair film material on the implant area, no transmission area around an implant, excessive edge bone absorption and the like in a short period with a small time span for collecting CT, the application accurately identifies the problems which are almost unrecognizable by manpower by the following calculation method of regeneration stability:
further, in S300, the method for sequentially calculating the regeneration stability of the dental implant region of each oral tooth three-dimensional image includes:
Map i is the three-dimensional image of the oral cavity teeth shot at the ith time, i is the shooting sequence number of the three-dimensional image of the oral cavity teeth;
Image areas formed by edge lines obtained by edge detection of the three-dimensional images Map i of the teeth of the oral cavity; marking the image area with the shortest distance between the geometric center of gravity in each image area and the geometric center of gravity of the dental implant area (the positions of the dental implant areas marked by the manual calibration of the three-dimensional images of the oral teeth are the same and are collectively marked as the dental implant areas) as a regeneration area Rec i, namely Rec i is a regeneration area corresponding to an ith oral tooth three-dimensional image Map i;
Sequentially extracting the regions of the absolute complement existing between Rec i-1、Reci and Rec i+1 in the time sequence of shooting within the value range of i from the 2 nd regeneration region; when the absolute complement is extracted for the 1 st time, taking the shooting time of the corresponding oral tooth three-dimensional image of Rec i at the moment as ComTime and taking the time period from ComTime to the shooting time of the last 1 oral tooth three-dimensional image as a regeneration period RECTIMEGAP; (i.e. the period of time from the occurrence of the regeneration phenomenon in the last dental implant area to the current moment is found).
Taking NearP as the nearest point from the edge of the absolute complement to the geometric center of gravity of Rec i, fastP as the farthest point from the edge of the absolute complement to the geometric center of gravity of Rec i, and taking the line segment between NearP and FastP as the regeneration line segment LRec, LRec is time-varying (note, LRec is not linearly increasing or decreasing, and LRec may also be increasing or decreasing with time due to the alveolar ridge atrophy phenomenon caused by inflammation or poor oral hygiene, the change of the transmission area around the implant, the edge bone resorption rate, etc.); the line segment denoted as LRec in RECTIMEGAP is LRecmin when it is the minimum length; a segment of LRec exceeding LRecmin length corresponding to the intercepting regeneration region Rec i is a regeneration newly added segment LRecCut;
Calculate the regeneration stability RecP i of the regeneration region Rec i:
；
Where j is a variable, expa (LRecCut, j) is the reproduction range value of the j-th point on LRecCut, N is the number of points on LRecCut, and log is the base 10 logarithm;
The regeneration stability RecP i of the regeneration region Rec i is taken as the regeneration stability of the corresponding dental implant region;
the method for calculating the reproduction range value Expa (LRecCut, j) is as follows:
The average value of the distance values from NearP points of all absolute complements to the midpoint of LRecmin is NearMean, and the average value of the distance values from FastP points of all absolute complements to the midpoint of LRecmin is FastMean;
Expa(LRecCut,j)=(|NearMean-ExpNear(j)|+|FastMean-ExpFast(j)|)÷2；
Wherein, expNear (j) is the distance value of the corresponding position point on Map i from the j-th point on line segment LRecCut to NearP point on the absolute complement of ComTime; expflash (j) is the distance value of the corresponding position point on Map i from the jth point on line LRecCut to FastP point on the absolute complement at ComTime;
The regeneration range value is a change trend of a change range LRec for showing a non-linear enlargement and reduction, and the change trend of the change range is an irregular change range caused by factors such as an alveolar ridge atrophy phenomenon caused by inflammation of an adjacent tooth or poor oral hygiene, a change of a transmission area around an implant, an edge bone absorption speed and the like.
The above calculation of the regeneration stability can accurately locate the atrophy phenomenon of the alveolar ridge generated between two adjacent CT in a short period with a small time span for collecting CT, the side effect of the dental restoration film material on the dental implant area, the stability of irregular change of the dental implant area caused by the problems of no transmission area around the implant, overlarge edge bone absorption and the like, and can avoid the problems of false alarm of the traditional three-dimensional oral cavity prediction model on the short period or false identification of the corresponding regeneration area and the enlarged transmission area and low precision in the subsequent image generation step.
Preferably, in S400, the stability threshold is an average value of the regeneration stability Rec i of all the regeneration regions Rec i.
Preferably, in S400, the stability threshold is a manually set value.
Further, in S500, the method for obtaining the prognosis image by performing the regenerative absorption adjustment on the irreversible region on the three-dimensional image of the oral tooth that was photographed recently comprises:
Taking an absolute complement area corresponding to a dental implant area with the largest value of the regeneration stability as a stable area, taking a three-dimensional image of oral teeth corresponding to the stable area as a stable image, taking a geometric gravity center point of the stable area as a stable point, recording a distance from the stable point to a NearP point of the stable area as DisNear, and recording a distance from the stable point to a FastP point of the stable area as DisFast; the direction from NearP to FastP is taken as a regeneration forward direction; the direction from FastP to NearP is taken as the reverse regeneration direction;
marking the corresponding position of the stable point on the three-dimensional image of the oral cavity tooth corresponding to the irreversible area as a stable projection point; the corresponding position of NearP points of the stable region on the three-dimensional image of the oral teeth corresponding to the irreversible region is marked as a Near mapping point, and the corresponding position of FastP points of the stable region on the three-dimensional image of the oral teeth corresponding to the irreversible region is marked as a Fast mapping point;
Performing corner detection on the irreversible region to obtain a plurality of corners, wherein the total number of the corners is HN, the number of the corners is k, and the corner with the number of k is marked as HorP (k); the distance value from the HorP (k) to the Near mapping point is NearD, and the distance value from the HorP (k) to the Fast mapping point is FastD; WD is the distance value from the HorP (k) to the stable mapping point; calculating NearD and DisNear as Near compensation distance; calculating FastD and DisFast as Fast compensation distance;
The specific method for carrying out regenerative absorption adjustment on the irreversible region comprises the following steps: traversing each corner point HorP (k) within the value range of k,
When NearD is more than or equal to WD and FastD is more than or equal to WD, the compensation case 1 is obtained;
When NearD is more than or equal to WD and FastD is less than WD, the compensation condition is 2;
When NearD is smaller than WD and FastD is larger than or equal to WD, the compensation condition is 3;
When NearD is less than WD and FastD is less than WD, the compensation case 4 is obtained;
when the compensation situation 1 is performed, the position of the HorP (k) point on the three-dimensional image of the oral cavity tooth is adjusted to the regeneration forward direction by the Near compensation distance;
When the compensation condition 2 is met, the position of the HorP (k) point on the three-dimensional image of the oral cavity tooth is adjusted to the regeneration forward direction by Fast compensation distance;
When the compensation situation 3 is performed, the position of the HorP (k) point on the three-dimensional image of the oral cavity teeth is adjusted to the reverse direction of regeneration by the Near compensation distance;
when the compensation condition 4 is met, the position of the HorP (k) point on the three-dimensional image of the oral cavity tooth is adjusted to the reverse direction of regeneration by Fast compensation distance;
And taking the three-dimensional image of the oral cavity teeth after the regeneration absorption adjustment as an obtained prognosis image.
Preferably, the three-dimensional image is adjusted in such a manner that a twisting operation of the three-dimensional image is performed centering on a point, that is, the pattern is changed in a reproduction forward direction or a reproduction reverse direction by the position of the point of HorP (k) as the center.
Preferably, the three-dimensional image is adjusted in the sense that the offset stretching operation of the three-dimensional image is performed centering on the point.
Preferably, the method further comprises the step of transmitting the prognosis image to a client or a mobile device for display output.
Preferably, the client is a desktop computer or a notebook computer, and the mobile device is a smart phone or a tablet computer.
The beneficial effects of the invention are as follows: the invention provides a method for generating a bone regeneration prognosis image guided by an oral cavity repair film material in dental implantation, which can accurately monitor the normal regeneration change trend of a dental implant region on a three-dimensional image of a nearest tooth CT according to the regeneration stability, further balance the early warning accuracy when the regeneration boundary change of the dental implant region is about to be irreversibly changed through regeneration absorption adjustment, ensure the accuracy of the generated prognosis image, and eliminate the interference of irregular change unstable factors generated by the dental implant region along with the time change and caused by the problems of atrophy phenomenon of an alveolar ridge, side effect influence of the oral cavity repair film material on the dental implant region, no transmission region around an implant, overlarge edge bone absorption and the like.
Drawings
The above and other features of the present invention will become more apparent from the detailed description of the embodiments thereof given in conjunction with the accompanying drawings, in which like reference characters designate like or similar elements, and it is apparent that the drawings in the following description are merely some examples of the present invention, and other drawings may be obtained from these drawings without inventive effort to those of ordinary skill in the art, in which:
Fig. 1 is a flowchart showing a method for generating a prognosis image of bone regeneration guided by an oral prosthetic film material in dental implantation.
Detailed Description
The conception, specific structure, and technical effects produced by the present application will be clearly and completely described below with reference to the embodiments and the drawings to fully understand the objects, aspects, and effects of the present application. It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other.
A flowchart of a method for generating a bone regeneration prognosis image guided by a dental prosthetic membrane material in dental implantation is shown in fig. 1, and a method for generating a bone regeneration prognosis image guided by a dental prosthetic membrane material in dental implantation according to an embodiment of the present invention is described below with reference to fig. 1, the method comprising the steps of:
s100, after a patient performs dental implantation by using an oral cavity restoration film material, shooting oral cavity CT at intervals of set time;
S200, respectively carrying out three-dimensional reconstruction on each acquired oral cavity CT according to the shooting time sequence to obtain three-dimensional images of each oral cavity tooth, and marking a tooth implantation area on each oral cavity tooth three-dimensional image;
S300, sequentially calculating the regeneration stability of the dental implantation areas of the three-dimensional images of the teeth of each oral cavity;
S400, if the regeneration stability of the dental implant area corresponding to the latest shot oral cavity CT is smaller than or equal to a stability threshold value, recording the dental implant area corresponding to the latest shot oral cavity CT as an irreversible area;
S500, performing regeneration absorption adjustment on an irreversible area on the three-dimensional image of the recently shot oral cavity tooth to obtain a prognosis image.
Further, in S100, the oral CT is obtained by scanning the oral CBCT.
Further, in S100, the set time is 10 days.
Further, in S100, the mouth repair film material is a sea-Oak repair film material.
Further, in S200, the three-dimensional reconstruction method is to reconstruct three-dimensional images of oral teeth by performing three-dimensional reconstruction on oral CT through the three-dimensional reconstruction function of the mics software.
Further, in S200, the dental implant area is a dental implant area manually marked on the three-dimensional image of the oral cavity tooth obtained by the first photographing, and the central positions of the dental implant areas on all the three-dimensional images of the oral cavity tooth photographed after the first photographing are the same.
Further, in S300, the method for sequentially calculating the regeneration stability of the dental implant region of each oral tooth three-dimensional image includes:
Map i is the three-dimensional image of the oral cavity teeth shot at the ith time, i is the shooting sequence number of the three-dimensional image of the oral cavity teeth;
Image areas formed by edge lines obtained by edge detection of the three-dimensional images Map i of the teeth of the oral cavity; the image area with the shortest distance between the geometric center of gravity of each image area and the geometric center of gravity of the dental implant area is marked as a regeneration area Rec i, namely Rec i is a regeneration area corresponding to an ith oral tooth three-dimensional image Map i;
Sequentially extracting the regions of the absolute complement existing between Rec i-1、Reci and Rec i+1 in the time sequence of shooting within the value range of i from the 2 nd regeneration region; when the absolute complement is extracted for the 1 st time, taking the shooting time of the corresponding oral tooth three-dimensional image of Rec i at the moment as ComTime and taking the time period from ComTime to the shooting time of the last 1 oral tooth three-dimensional image as a regeneration period RECTIMEGAP;
With NearP being the closest point to the geometric center of gravity of Rec i on the edge of the absolute complement, fastP being the furthest point to the geometric center of gravity of Rec i on the edge of the absolute complement, and LRec being the regeneration line segment between NearP and FastP, LRec is time varying; the line segment denoted as LRec in RECTIMEGAP is LRecmin when it is the minimum length; a segment of LRec exceeding LRecmin length corresponding to the intercepting regeneration region Rec i is a regeneration newly added segment LRecCut;
Calculate the regeneration stability RecP i of the regeneration region Rec i:
；
Where j is a variable, expa (LRecCut, j) is the reproduction range value of the j-th point on LRecCut, N is the number of points on LRecCut, and log is the base 10 logarithm;
The regeneration stability RecP i of the regeneration region Rec i is taken as the regeneration stability of the corresponding dental implant region;
the method for calculating the reproduction range value Expa (LRecCut, j) is as follows:
The average value of the distance values from NearP points of all absolute complements to the midpoint of LRecmin is NearMean, and the average value of the distance values from FastP points of all absolute complements to the midpoint of LRecmin is FastMean;
Expa(LRecCut,j)=(|NearMean-ExpNear(j)|+|FastMean-ExpFast(j)|)÷2；
Wherein, expNear (j) is the distance value of the corresponding position point on Map i from the j-th point on line segment LRecCut to NearP point on the absolute complement of ComTime; expflash (j) is the distance value of the corresponding position point on Map i from the jth point on line LRecCut to FastP point on the absolute complement at ComTime;
Preferably, in S400, the stability threshold is an average value of the regeneration stability Rec i of all the regeneration regions Rec i.
Further, in S500, the method for obtaining the prognosis image by performing the regenerative absorption adjustment on the irreversible region on the three-dimensional image of the oral tooth that was photographed recently comprises:
Taking an absolute complement area corresponding to a dental implant area with the largest value of the regeneration stability as a stable area, taking a three-dimensional image of oral teeth corresponding to the stable area as a stable image, taking a geometric gravity center point of the stable area as a stable point, recording a distance from the stable point to a NearP point of the stable area as DisNear, and recording a distance from the stable point to a FastP point of the stable area as DisFast; the direction from NearP to FastP is taken as a regeneration forward direction; the direction from FastP to NearP is taken as the reverse regeneration direction;
marking the corresponding position of the stable point on the three-dimensional image of the oral cavity tooth corresponding to the irreversible area as a stable projection point; the corresponding position of NearP points of the stable region on the three-dimensional image of the oral teeth corresponding to the irreversible region is marked as a Near mapping point, and the corresponding position of FastP points of the stable region on the three-dimensional image of the oral teeth corresponding to the irreversible region is marked as a Fast mapping point;
Performing corner detection on the irreversible region to obtain a plurality of corners, wherein the total number of the corners is HN, the number of the corners is k, and the corner with the number of k is marked as HorP (k); the distance value from the HorP (k) to the Near mapping point is NearD, and the distance value from the HorP (k) to the Fast mapping point is FastD; WD is the distance value from the HorP (k) to the stable mapping point; calculating NearD and DisNear as Near compensation distance; calculating FastD and DisFast as Fast compensation distance;
The specific method for carrying out regenerative absorption adjustment on the irreversible region comprises the following steps: traversing each corner point HorP (k) within the value range of k,
When NearD is more than or equal to WD and FastD is more than or equal to WD, the compensation case 1 is obtained;
When NearD is more than or equal to WD and FastD is less than WD, the compensation condition is 2;
When NearD is smaller than WD and FastD is larger than or equal to WD, the compensation condition is 3;
When NearD is less than WD and FastD is less than WD, the compensation case 4 is obtained;
when the compensation situation 1 is performed, the position of the HorP (k) point on the three-dimensional image of the oral cavity tooth is adjusted to the regeneration forward direction by the Near compensation distance;
When the compensation condition 2 is met, the position of the HorP (k) point on the three-dimensional image of the oral cavity tooth is adjusted to the regeneration forward direction by Fast compensation distance;
When the compensation situation 3 is performed, the position of the HorP (k) point on the three-dimensional image of the oral cavity teeth is adjusted to the reverse direction of regeneration by the Near compensation distance;
when the compensation condition 4 is met, the position of the HorP (k) point on the three-dimensional image of the oral cavity tooth is adjusted to the reverse direction of regeneration by Fast compensation distance;
And taking the three-dimensional image of the oral cavity teeth after the regeneration absorption adjustment as an obtained prognosis image.
Preferably, the three-dimensional image is adjusted in such a manner that a twisting operation of the three-dimensional image is performed centering on a point, that is, the pattern is changed in a reproduction forward direction or a reproduction reverse direction by the position of the point of HorP (k) as the center.
Preferably, the method further comprises the step of transmitting the prognosis image to a client or a mobile device for display output.
Preferably, the client is a desktop computer or a notebook computer, and the mobile device is a smart phone or a tablet computer.
Although the present invention has been described in considerable detail and with particularity with respect to several described embodiments, it is not intended to be limited to any such detail or embodiment or any particular embodiment so as to effectively cover the intended scope of the invention. Furthermore, the foregoing description of the invention has been presented in its embodiments contemplated by the inventors for the purpose of providing a useful description, and for the purposes of providing a non-essential modification of the invention that may not be presently contemplated, may represent an equivalent modification of the invention.
Claims (6)
1. A method for generating a prognosis image of bone regeneration guided by an oral prosthetic membrane material in dental implantation, the method comprising the steps of:
s100, after a patient performs dental implantation by using an oral cavity restoration film material, shooting oral cavity CT at intervals of set time;
S200, respectively carrying out three-dimensional reconstruction on each acquired oral cavity CT according to the shooting time sequence to obtain three-dimensional images of each oral cavity tooth, and marking a tooth implantation area on each oral cavity tooth three-dimensional image;
S300, sequentially calculating the regeneration stability of the dental implantation areas of the three-dimensional images of the teeth of each oral cavity;
S400, if the regeneration stability of the dental implant area corresponding to the latest shot oral cavity CT is smaller than or equal to a stability threshold value, recording the dental implant area corresponding to the latest shot oral cavity CT as an irreversible area;
S500, performing regeneration absorption adjustment on an irreversible area on a three-dimensional image of the recently shot oral cavity tooth to obtain a prognosis image;
In S300, the method for sequentially calculating the regeneration stability of the dental implant region of each oral tooth three-dimensional image includes:
Map i is the three-dimensional image of the oral cavity teeth shot at the ith time, i is the shooting sequence number of the three-dimensional image of the oral cavity teeth;
Image areas formed by edge lines obtained by edge detection of the three-dimensional images Map i of the teeth of the oral cavity; marking an image area with the shortest distance between the geometric center of gravity of each image area and the geometric center of gravity of the dental implant area as a reproduction area Rec i;
Sequentially extracting the regions of the absolute complement existing between Rec i-1、Reci and Rec i+1 in the time sequence of shooting within the value range of i from the 2 nd regeneration region; when the absolute complement is extracted for the 1 st time, taking the shooting time of the corresponding oral tooth three-dimensional image of Rec i at the moment as ComTime and taking the time period from ComTime to the shooting time of the last 1 oral tooth three-dimensional image as a regeneration period RECTIMEGAP;
The closest point from the edge of the absolute complement to the geometric center of gravity of Rec i is NearP, the farthest point from the edge of the absolute complement to the geometric center of gravity of Rec i is FastP, and the line segment between NearP and FastP is a regeneration line segment LRec; the line segment denoted as LRec in RECTIMEGAP is LRecmin when it is the minimum length; a segment of LRec exceeding LRecmin length corresponding to the intercepting regeneration region Rec i is a regeneration newly added segment LRecCut;
Calculate the regeneration stability RecP i of the regeneration region Rec i:
；
Where j is a variable, expa (LRecCut, j) is the reproduction range value of the j-th point on LRecCut, N is the number of points on LRecCut, and log is the base 10 logarithm;
The regeneration stability RecP i of the regeneration region Rec i is the regeneration stability of the corresponding dental implant region.
2. The method for generating a prognosis image for bone regeneration guided by a dental restoration film material in dental implantation according to claim 1, wherein in S200, the dental implantation area is a dental implantation area artificially marked on the three-dimensional image of the oral tooth obtained by the first photographing, and the central positions of the dental implantation areas on all the three-dimensional images of the oral tooth photographed after the first photographing are the same.
3. The method for generating a bone regeneration prognosis image guided by a dental prosthetic membrane material in dental implantation according to claim 1, wherein the calculation method of the regeneration range value Expa (LRecCut, j) is as follows:
The average value of the distance values from NearP points of all absolute complements to the midpoint of LRecmin is NearMean, and the average value of the distance values from FastP points of all absolute complements to the midpoint of LRecmin is FastMean;
Expa(LRecCut,j)=(|NearMean-ExpNear(j)|+|FastMean-ExpFast(j)|)÷2；
Wherein, expNear (j) is the distance value of the corresponding position point on Map i from the j-th point on line segment LRecCut to NearP point on the absolute complement of ComTime; expFast (j) is the distance value of the corresponding location point on Map i from the jth point on line segment LRecCut to FastP point on the absolute complement of ComTime.
4. The method for generating a bone regeneration prognosis image guided by a dental restoration film material according to claim 1, wherein in S400, the stability threshold is an average value of the regeneration stability of all regeneration regions.
5. The method for generating a prognosis image of bone regeneration guided by a dental restoration film material in dental implantation according to claim 1, wherein in S500, the method for obtaining the prognosis image by performing regeneration absorption adjustment on the irreversible region on the three-dimensional image of the dental tooth photographed recently comprises:
Taking an absolute complement area corresponding to a dental implant area with the largest value of the regeneration stability as a stable area, taking a three-dimensional image of oral teeth corresponding to the stable area as a stable image, taking a geometric gravity center point of the stable area as a stable point, recording a distance from the stable point to a NearP point of the stable area as DisNear, and recording a distance from the stable point to a FastP point of the stable area as DisFast; the direction from NearP to FastP is taken as a regeneration forward direction; the direction from FastP to NearP is taken as the reverse regeneration direction;
marking the corresponding position of the stable point on the three-dimensional image of the oral cavity tooth corresponding to the irreversible area as a stable projection point; the corresponding position of NearP points of the stable region on the three-dimensional image of the oral teeth corresponding to the irreversible region is marked as a Near mapping point, and the corresponding position of FastP points of the stable region on the three-dimensional image of the oral teeth corresponding to the irreversible region is marked as a Fast mapping point;
Performing corner detection on the irreversible region to obtain a plurality of corners, wherein the total number of the corners is HN, the number of the corners is k, and the corner with the number of k is marked as HorP (k); the distance value from the HorP (k) to the Near mapping point is NearD, and the distance value from the HorP (k) to the Fast mapping point is FastD; WD is the distance value from the HorP (k) to the stable mapping point; calculating NearD and DisNear as Near compensation distance; the absolute value of the difference between FastD and DisFast is calculated as Fast compensation distance, and the regenerative absorption adjustment is performed on the irreversible region.
6. The method for generating a bone regeneration prognosis image guided by an oral prosthetic membrane material in dental implant according to claim 5, wherein the specific method for adjusting the regeneration absorption of the irreversible region comprises the following steps: traversing each corner point HorP (k) within the value range of k,
When NearD is more than or equal to WD and FastD is more than or equal to WD, the compensation case 1 is obtained;
When NearD is more than or equal to WD and FastD is less than WD, the compensation condition is 2;
When NearD is smaller than WD and FastD is larger than or equal to WD, the compensation condition is 3;
When NearD is less than WD and FastD is less than WD, the compensation case 4 is obtained;
when the compensation situation 1 is performed, the position of the HorP (k) point on the three-dimensional image of the oral cavity tooth is adjusted to the regeneration forward direction by the Near compensation distance;
When the compensation condition 2 is met, the position of the HorP (k) point on the three-dimensional image of the oral cavity tooth is adjusted to the regeneration forward direction by Fast compensation distance;
When the compensation situation 3 is performed, the position of the HorP (k) point on the three-dimensional image of the oral cavity teeth is adjusted to the reverse direction of regeneration by the Near compensation distance;
when the compensation condition 4 is met, the position of the HorP (k) point on the three-dimensional image of the oral cavity tooth is adjusted to the reverse direction of regeneration by Fast compensation distance;
And taking the three-dimensional image of the oral cavity teeth after the regeneration absorption adjustment as an obtained prognosis image.
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| KR102200999B1 (en) * | 2019-10-30 | 2021-01-11 | 주식회사 메디누보 | Apparatus and method for evaluating periodontal disease prognosis based on tooth image |
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