CN105913424A - Tooth-based age estimation method and device - Google Patents

Tooth-based age estimation method and device Download PDF

Info

Publication number
CN105913424A
CN105913424A CN201610218021.XA CN201610218021A CN105913424A CN 105913424 A CN105913424 A CN 105913424A CN 201610218021 A CN201610218021 A CN 201610218021A CN 105913424 A CN105913424 A CN 105913424A
Authority
CN
China
Prior art keywords
tooth
age
pulp
sex
bulking value
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
Application number
CN201610218021.XA
Other languages
Chinese (zh)
Other versions
CN105913424B (en
Inventor
李刚
葛志朴
马绪臣
杨盼
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Peking University Hospital Of Stomatology
Peking University School of Stomatology
Original Assignee
Peking University Hospital Of Stomatology
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Peking University Hospital Of Stomatology filed Critical Peking University Hospital Of Stomatology
Priority to CN201610218021.XA priority Critical patent/CN105913424B/en
Publication of CN105913424A publication Critical patent/CN105913424A/en
Application granted granted Critical
Publication of CN105913424B publication Critical patent/CN105913424B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10081Computed x-ray tomography [CT]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30036Dental; Teeth
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/155Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands use of biometric patterns for forensic purposes

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Medical Informatics (AREA)
  • Radiology & Medical Imaging (AREA)
  • Quality & Reliability (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Dental Tools And Instruments Or Auxiliary Dental Instruments (AREA)

Abstract

The invention provides a tooth-based age estimation method and device. The method comprises the following steps: tooth image data of a target object is obtained, image segmentation processing technologies are applied, image data of an optimal tooth position combination corresponding to the gender of the target object is segmented form the tooth image data, pulp cavity or pulp chamber volume values of teeth at all tooth positions in the optimal tooth position combination are calculated, the pulp cavity or pulp chamber volume values of the teeth at all the tooth positions are input into an age model corresponding to the gender of the target object, age data of the target object is obtained, and the age model is built in advance according to pulp cavity or pulp chamber volume values of teeth at a plurality of tooth positions of sample objects. Via use of the tooth-based age estimation method and device, limitation of human living body or corpse age estimation methods can be reduced.

Description

A kind of method and apparatus inferring the age based on tooth
Technical field
The present invention relates to medical verification technical field, infer year in particular to one based on tooth The method and apparatus in age.
Background technology
The Age Estimation of people's live body or corpse judge in the measurement of penalty of suspect and prudence Identity identification has a very important role.For baby, child and teen-age Age Estimation, Can complete according to the developmental character sign of the skeleton during human development or tooth;And for adult man-year The deduction in age, then lack the method being suitable to practicality.
The method carrying out Age Estimation by tooth currently for adult includes carbon 14 analytic process, Radix Asparagi Propylhomoserin raceme method, cementum ring count method etc..These methods need to extract tooth, test Room is analyzed, and limitation is bigger, it is impossible to for the Age Estimation of people's live body.
For the above-mentioned problem bigger to the Age Estimation method limitation of people's live body or corpse, the most still Effective solution is not proposed.
Summary of the invention
In view of this, the purpose of the embodiment of the present invention is to provide a kind of side inferring the age based on tooth Method and device, to reduce the limitation of the Age Estimation method to people's live body or corpse, convenient height Effect.
First aspect, embodiments provides a kind of method inferring the age based on tooth, the party Method includes: obtain the dental imaging data of destination object;Application image dividing processing technology, from tooth View data is partitioned into the view data of the optimum tooth bit combination corresponding with the sex of destination object;Meter Calculate pulp cavity or the pulp chamber bulking value of the tooth of each tooth position in the view data of optimum tooth bit combination;Will be each The pulp cavity of the tooth of individual tooth position or the input of pulp chamber bulking value are to age models corresponding to the sex of destination object In, it is thus achieved that the age data of destination object;Wherein, age models is many previously according to sample object Pulp cavity or the pulp chamber bulking value of the tooth of individual tooth position are built-up.
In conjunction with first aspect, embodiments provide the first possible embodiment party of first aspect Formula, wherein, is partitioned into the optimum tooth hyte corresponding with the sex of destination object from dental imaging data The view data closed includes: when the sex of destination object is male, and corresponding optimum tooth bit combination is: U1+U2+U3+U6+L4+L7;When the sex of destination object is women, corresponding optimum tooth bit combination is: U1+U3+U7+L7;When sex the unknown of destination object, corresponding optimum tooth bit combination is: U1+U2+U3+U5+U6+U7+L7;Wherein, U1 represents maxillary central incisors, and U2 represents upper eyelid laxity, U3 represents eye tooth, and U5 represents the upper jaw the second premolars, and U6 represents maxillary first molar, U7 generation Table maxillary second molar, L4 represents mandibular first premolar, and L7 represents mandibular second molar.
In conjunction with first aspect, embodiments provide the embodiment party that the second of first aspect is possible Formula, wherein, inputs the sex to destination object by pulp cavity or the pulp chamber bulking value of the tooth of each tooth position In corresponding age models, it is thus achieved that the age data of destination object includes:
When the sex of destination object is male, corresponding age models is:
Y=-19.617Lg10 (VU1)-14.514Lg10 (VU2)+37.349Lg10 (VU3)
-27.002Lg10(VL4)-18.071Lg10(VU6)-21.599Lg10(VL7)+110.318;
When the sex of destination object is women, corresponding age models is:
Y=-12.419Lg10 (VU1)+26.884Lg10 (VU3)-37.156Lg10 (VU7)
-26.511Lg10(VL7)+97.403;
When the sex of destination object is unknown, corresponding age models is:
Y=-20.464Lg10 (VU1)-9.069Lg10 (VU2)+41.347Lg10 (VU3)
-12.905Lg10(VU5)-13.566Lg10(VU6)-17.807Lg10(VU7)
-20.254Lg10(VL7)+99;
Wherein, Y represents the age, and Lg10 represents common logarithm conversion, and VU1 represents described U1 pulp cavity Bulking value, VU2 represents the bulking value of described U2 pulp cavity, and VU3 represents the bulking value of described U3 pulp cavity, VU5 represents the bulking value of described U5 pulp cavity, and VU6 represents the bulking value of described U6 pulp chamber, and VU7 represents The bulking value of described U7 pulp chamber, VL4 represents the bulking value of described L4 pulp cavity, and VL7 represents described L7 The bulking value of pulp chamber.
In conjunction with the above-mentioned possible embodiment of first aspect, embodiments provide first aspect The third possible embodiment, wherein, age models is the multiple teeth previously according to sample object The pulp cavity of the tooth of position or pulp chamber bulking value is built-up includes: by the sample object specifying number Multiple tooth positions on the view data of tooth carry out image procossing, be partitioned into the marrow of sample object tooth Chamber or pulp chamber;Tooth on multiple tooth positions includes: single maxillary central incisors, upper eyelid laxity, on Jaw canine tooth, the upper jaw the second premolars, infradentale, lower jaw lateral incisor, lower jaw canine tooth, lower jaw One premolars, second mandibular premolars, and the maxillary first molar of many, maxillary second molar, under Jaw first molar and mandibular second molar;Calculate sample object multiple tooth positions on tooth pulp cavity or Pulp chamber bulking value;Pulp cavity according to the tooth on multiple tooth positions of sample object or pulp chamber bulking value, sample The actual age of this object and sex, use multiple linear regression analysis to determine the optimum tooth of sample object Bit combination and age models.
In conjunction with the third possible embodiment of first aspect, embodiments provide first party The 4th kind of possible embodiment in face, wherein, according to the tooth on multiple tooth positions of sample object Pulp cavity or pulp chamber bulking value, the actual age of sample object and sex, use multiple linear regression analysis Determine that optimum tooth bit combination and the age models of sample object include: extract the sample under same sex parameter The pulp cavity of this tooth or pulp chamber volume data;By pulp cavity or the marrow of the sample tooth under same sex parameter It is independent variable that building volume data carry out the setting value after logarithmic transformation;By reality corresponding for sample tooth Age is set as dependent variable;By multiple linear regression analysis, it is calculated the optimum tooth of sample object Bit combination and age models.
Second aspect, embodiments provides a kind of device inferring the age based on tooth, this dress Put and include: dental imaging data acquisition module, for obtaining the dental imaging data of destination object;Figure As dividing processing module, for application image dividing processing technology, it is partitioned into from dental imaging data The view data of the optimum tooth bit combination corresponding with the sex of destination object;Bulking value computing module, uses The pulp cavity of the tooth of each tooth position or pulp chamber bulking value in the view data calculating optimum tooth bit combination; Age data acquisition module, for inputting the pulp cavity of the tooth of each tooth position or pulp chamber bulking value to mesh In the age models corresponding to sex of mark object, it is thus achieved that the age data of destination object;Wherein, the age Model be the pulp cavity of the tooth of the multiple tooth positions previously according to sample object or pulp chamber bulking value built-up.
In conjunction with second aspect, embodiments provide the first possible embodiment party of second aspect Formula, wherein, above-mentioned image dividing processing module includes: male's optimum tooth bit combination determines unit, uses In when the sex of destination object is male, determine the optimum tooth bit combination that destination object is corresponding: U1+U2+U3+U6+L4+L7;Women optimum tooth bit combination determines unit, for when the sex of destination object During for women, determine the optimum tooth bit combination that destination object is corresponding: U1+U3+U7+L7;Unknown sex is Excellent tooth bit combination determines unit, for when sex the unknown of destination object, determines that destination object is corresponding Optimum tooth bit combination: U1+U2+U3+U5+U6+U7+L7;Wherein, U1 represents maxillary central incisors, U2 Representing upper eyelid laxity, U3 represents eye tooth, and U5 represents the upper jaw the second premolars, and U6 represents the upper jaw First molar, U7 represents maxillary second molar, and L4 represents mandibular first premolar, and L7 represents lower jaw Two grind one's teeth in sleep.
In conjunction with second aspect, embodiments provide the embodiment party that the second of second aspect is possible Formula, wherein, age data acquisition module includes: men age data capture unit, for working as target When the sex of object is male, men age model is used to obtain age data, wherein, men age Model is:
Y=-19.617Lg10 (VU1)-14.514Lg10 (VU2)+37.349Lg10 (VU3)
-27.002Lg10(VL4)-18.071Lg10(VU6)-21.599Lg10(VL7)+110.318;
Female age data capture unit, for when the sex of destination object is women, uses women Age models obtains age data, and wherein, female age model is:
Y=-12.419Lg10 (VU1)+26.884Lg10 (VU3)-37.156Lg10 (VU7)
-26.511Lg10(VL7)+97.403;
Unknown Sex, Age data capture unit, for when the sex of destination object is unknown, using Unknown Sex, Age model obtains age data, and wherein, unknown Sex, Age model is:
Y=-20.464Lg10 (VU1)-9.069Lg10 (VU2)+41.347Lg10 (VU3)
-12.905Lg10(VU5)-13.566Lg10(VU6)-17.807Lg10(VU7)
-20.254Lg10(VL7)+99;
Wherein, Y represents the age, and Lg10 represents common logarithm conversion, and VU1 represents described U1 pulp cavity Bulking value, VU2 represents the bulking value of described U2 pulp cavity, and VU3 represents the bulking value of described U3 pulp cavity, VU5 represents the bulking value of described U5 pulp cavity, and VU6 represents the bulking value of described U6 pulp chamber, and VU7 represents The bulking value of described U7 pulp chamber, VL4 represents the bulking value of described L4 pulp cavity, and VL7 represents described L7 The bulking value of pulp chamber.
In conjunction with the above-mentioned possible embodiment of second aspect, embodiments provide second aspect The third possible embodiment, wherein, said apparatus also includes: sample image processing module, For by the view data of the tooth on multiple tooth positions of the sample object of appointment number is carried out image Process, be partitioned into pulp cavity or the pulp chamber of sample object tooth;Tooth on multiple tooth positions includes: single Maxillary central incisors, upper eyelid laxity, eye tooth, the upper jaw the second premolars, infradentale, Lower jaw lateral incisor, lower jaw canine tooth, mandibular first premolar, second mandibular premolars, and many upper Jaw first molar, maxillary second molar, mandibular first molar and mandibular second molar;Sample tooth meter Calculate module, for calculating pulp cavity or the pulp chamber bulking value of the tooth on multiple tooth positions of sample object;Mould Type builds module, for according to the pulp cavity of the tooth on multiple tooth positions of sample object or pulp chamber bulking value, The actual age of sample object and sex, use multiple linear regression analysis to determine the optimum of sample object Tooth bit combination and age models.
In conjunction with the third possible embodiment of second aspect, embodiments provide second party The 4th kind of possible embodiment in face, wherein, above-mentioned model construction module includes: data are extracted single Unit, extracts pulp cavity or the pulp chamber volume data of sample tooth under same sex parameter;Independent variable sets Unit, for carrying out logarithm by pulp cavity or the pulp chamber volume data of the sample tooth under same sex parameter Setting value after conversion is independent variable;Dependent variable setup unit, for by reality corresponding for sample tooth The border age is set as dependent variable;Model construction unit, for by multiple linear regression analysis, calculates Obtain optimum tooth bit combination and the age models of sample object.
A kind of method and apparatus inferring the age based on tooth that the embodiment of the present invention provides, by obtaining Above-mentioned data are carried out image dividing processing, calculate bulking value etc. by the dental imaging data of destination object Process, obtain the optimum tooth bit combination of destination object, based on optimum tooth bit combination and corresponding age mould Type obtains the deduction age of destination object, and this mode can obtain accurate age value, and Decrease the correlation technique limitation to the Age Estimation method of people's live body or corpse, convenient efficiently.
For making the above-mentioned purpose of the present invention, feature and advantage to become apparent, preferable reality cited below particularly Execute example, and coordinate appended accompanying drawing, be described in detail below.
Accompanying drawing explanation
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, below will be to required in embodiment Accompanying drawing to be used is briefly described, it will be appreciated that the following drawings illustrate only some of the present invention Embodiment, is therefore not construed as the restriction to scope, for those of ordinary skill in the art, On the premise of not paying creative work, it is also possible to obtain other relevant accompanying drawings according to these accompanying drawings.
Fig. 1 shows a kind of method stream inferring the age based on tooth that the embodiment of the present invention 1 is provided Cheng Tu;
Fig. 2 shows a kind of device knot inferring the age based on tooth that the embodiment of the present invention 2 is provided Structure schematic diagram;
Fig. 3 shows a kind of based on the tooth deduction age the method that the embodiment of the present invention 3 is provided Particular flow sheet.
Detailed description of the invention
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearer, below in conjunction with this Accompanying drawing in inventive embodiments, is clearly and completely described the technical scheme in the embodiment of the present invention, Obviously, described embodiment is only a part of embodiment of the present invention rather than whole embodiments. Generally herein described in accompanying drawing and the assembly of the embodiment of the present invention that illustrates can be with various different joining Put and arrange and design.Therefore, retouching in detail the embodiments of the invention provided in the accompanying drawings below State the scope being not intended to limit claimed invention, but be merely representative of the selected reality of the present invention Execute example.Based on embodiments of the invention, those skilled in the art are not before making creative work Put the every other embodiment obtained, broadly fall into the scope of protection of the invention.
Carry out the method for Age Estimation by tooth need to extract tooth in view of existing, carry out reality Testing room to analyze, limitation is bigger, it is impossible to for the problem of the Age Estimation of people's live body, the present invention implements Example provides a kind of method and apparatus inferring the age based on tooth, and this technology can use relevant soft Part and equipment realize, and are described below by embodiment.
Embodiment 1
A kind of method flow diagram inferring the age based on tooth shown in Figure 1, the method include with Lower step:
Step S102, obtains the dental imaging data of destination object;
Step S104, application image dividing processing technology, it is partitioned into and target from dental imaging data The view data of the optimum tooth bit combination that the sex of object is corresponding;
Step S106, calculate the tooth of each tooth position in the view data of optimum tooth bit combination pulp cavity or Pulp chamber bulking value;
Step S108, inputs pulp cavity or the pulp chamber bulking value of the tooth of each tooth position to destination object In the age models that sex is corresponding, it is thus achieved that the age data of destination object;Wherein, age models is pre- Pulp cavity or the pulp chamber bulking value of the tooth of first multiple tooth positions according to sample object are built-up.
Unless specifically stated otherwise, the parts illustrated the most in these embodiments and the relative step of step Suddenly, numerical expression and numerical value do not limit the scope of the invention.
In the said method of the present embodiment, divide by the dental imaging data of destination object are carried out image Cut process, calculate bulking value and bulking value input is processed to age models etc., obtain destination object Age data;Said method is not only suitable for corpse and is also applied for the Age Estimation of live body, decreases year Age inference technologies limitation.
The Age Estimation of people's live body or corpse is an important content in prudence.The accurate age pushes away Breaking, it is highly important to have in judge is to the identity identification in the measurement of penalty of suspect and prudence Effect.The identity identification of the unidentified corpse that such as Large Scale Natural Disasters is caused, ancient times or The identity identification of modern unidentified remains, do not have the age of the cross-border refugee of proof of identification assert with And assert for whether arriving the age of the people that the legal crime age exists query.
There is a series of age_related changes in tooth, and has easily preservation, to physical chemistry and time Because have the characteristics such as the strongest resistance;Increase rheological properties feature be little affected by individual nutrition, drug administration, The plurality of advantages such as the impact of local environment and weather so that carry out Age Estimation one-tenth by tooth For possible.
There is certain diversity in the feature in view of different sexes tooth, the embodiment of the present invention is specifically When realizing, when first determining whether the sex of existing object, then it is partitioned into and mesh from dental imaging data The view data of the optimum tooth bit combination corresponding to sex of mark object;When the sex of destination object is male Time, corresponding optimum tooth bit combination is: U1+U2+U3+U6+L4+L7;When the sex of destination object is female Property time, corresponding optimum tooth bit combination is: U1+U3+U7+L7;When sex the unknown of destination object, Corresponding optimum tooth bit combination is: U1+U2+U3+U5+U6+U7+L7;Wherein, cut during U1 represents the upper jaw Tooth, U2 represents upper eyelid laxity, and U3 represents eye tooth, and U5 represents the upper jaw the second premolars, U6 Representing maxillary first molar, U7 represents maxillary second molar, and L4 represents mandibular first premolar, L7 generation Table mandibular second molar.
The above-mentioned mode determining optimum tooth bit combination, can improve while reducing data processing amount Accuracy to destination object Age Estimation.
Further, in order to infer the age of destination object more accurately, the embodiment of the present invention is realizing Time, by corresponding to the sex of destination object to pulp cavity or the input of pulp chamber bulking value of the tooth of each tooth position In age models, it is thus achieved that the age data of destination object;Specifically, when the sex of destination object be man Property time, corresponding age models is: Y=-19.617Lg10 (VU1)-14.514Lg10 (VU2)
+37.349Lg10(VU3)-27.002Lg10(VL4)-18.071Lg10(VU6)
-21.599Lg10(VL7)+110.318;
When the sex of destination object is women, corresponding age models is: Y=-12.419Lg10 (VU1)
+26.884Lg10(VU3)-37.156Lg10(VU7)-26.511Lg10(VL7)+97.403;
When the sex of destination object is unknown, corresponding age models is: Y=-20.464Lg10 (VU1)
-9.069Lg10(VU2)+41.347Lg10(VU3)-12.905Lg10(VU5)
-13.566Lg10(VU6)-17.807Lg10(VU7)-20.254Lg10(VL7)+99;
Wherein, Y represents the age, and Lg10 represents common logarithm conversion, and VU1 represents described U1 pulp cavity Bulking value, VU2 represents the bulking value of described U2 pulp cavity, and VU3 represents the bulking value of described U3 pulp cavity, VU5 represents the bulking value of described U5 pulp cavity, and VU6 represents the bulking value of described U6 pulp chamber, and VU7 represents The bulking value of described U7 pulp chamber, VL4 represents the bulking value of described L4 pulp cavity, and VL7 represents described L7 The bulking value of pulp chamber.
By the pulp cavity of the tooth of each tooth position or pulp chamber bulking value are inputted the sex pair to destination object In the age models answered, obtain the deduction age of destination object;Said method reduces in prior art Carbon 14 analytic process, aspartic acid raceme method, the limitation that cementum ring count method etc. exists, it is not necessary to The tooth of destination object is extracted and is analyzed, it is only necessary to the view data of destination object tooth is provided, Easy to operate, and there is certain accuracy.
When implementing, above-mentioned age models is the tooth of the multiple tooth positions previously according to sample object Pulp cavity or pulp chamber bulking value built-up, first, by sample object multiple specifying number The view data of the tooth on tooth position carries out image procossing, is partitioned into pulp cavity or the marrow of sample object tooth Room;Tooth on multiple tooth positions includes: single maxillary central incisors, upper eyelid laxity, eye tooth, The upper jaw the second premolars, infradentale, lower jaw lateral incisor, lower jaw canine tooth, mandibular first premolar, Second mandibular premolars, and the maxillary first molar of many, maxillary second molar, mandibular first molar And mandibular second molar;Next, the pulp cavity of the tooth on multiple tooth positions of calculating sample object or pulp chamber Bulking value;Finally, according to the pulp cavity of the tooth on multiple tooth positions of sample object or pulp chamber bulking value, The actual age of sample object and sex, use multiple linear regression analysis to determine the optimum of sample object Tooth bit combination and age models.
Said method, by processing the data of sample object, builds age models, can obtain The pulp cavity of the tooth on multiple tooth positions or pulp chamber bulking value and the relation between the age of sample object, enter And can utilize above-mentioned age models that the age of destination object is inferred.
Further, the embodiment of the present invention is using multiple linear regression analysis to determine sample object When optimum tooth bit combination and age models, extract pulp cavity or the marrow of sample tooth under same sex parameter Building volume data;It is right the pulp cavity of the sample tooth under same sex parameter or pulp chamber volume data to be carried out Setting value after transformation of variables is independent variable;Actual age corresponding for sample tooth is set as dependent variable; By multiple linear regression analysis, it is calculated optimum tooth bit combination and the age models of sample object.
By the way of above-mentioned multiple linear regression analysis, available optimum tooth bit combination and age models, And then realize the Age Estimation to destination object.
Embodiment 2
A kind of apparatus structure schematic diagram inferring the age based on tooth shown in Figure 2, this device bag Include with lower module:
Dental imaging data acquisition module 22, for obtaining the dental imaging data of destination object;
Image dividing processing module 24, for application image dividing processing technology, from dental imaging data In be partitioned into the view data of the optimum tooth bit combination corresponding with the sex of destination object;
Bulking value computing module 26, each tooth position in the view data calculating optimum tooth bit combination The pulp cavity of tooth or pulp chamber bulking value;
Age data acquisition module 28, for by defeated to pulp cavity or the pulp chamber bulking value of the tooth of each tooth position Enter to age models corresponding to the sex of destination object, it is thus achieved that the age data of destination object;Wherein, Age models is pulp cavity or the pulp chamber bulking value structure of the tooth of the multiple tooth positions previously according to sample object Form.
In the said apparatus of the present embodiment, by obtaining the dental imaging data of destination object, to above-mentioned View data carries out dividing processing, and calculates pulp cavity or the pulp chamber of the tooth of each tooth position in view data Bulking value, can obtain the optimum tooth bit combination corresponding with the sex of destination object and the tooth of each tooth position The pulp cavity of tooth or pulp chamber bulking value;Pulp cavity or the pulp chamber bulking value of the tooth of each tooth position are inputted to mesh In the age models corresponding to sex of mark object, it is thus achieved that the age data of destination object;Said apparatus was both It is applicable to corpse and is also applied for the Age Estimation of live body, decrease the limitation of Age Estimation technology.
It should be noted that similar label and letter represent similar terms, therefore, one in following accompanying drawing A certain Xiang Yi the accompanying drawing of denier is defined, then need not it is carried out further in accompanying drawing subsequently Definition and explanation.
The device that the embodiment of the present invention is provided, it realizes principle and the technique effect of generation and aforementioned side Method embodiment is identical, for briefly describing, and the not mentioned part of device embodiment part, refer to aforementioned side Corresponding contents in method embodiment.
In order to obtain the optimum tooth bit combination at the age for inferring existing object, above-mentioned image divides Cut processing module 24 to include:
Male's optimum tooth bit combination determines unit, for when the sex of destination object is male, determines The optimum tooth bit combination that destination object is corresponding: U1+U2+U3+U6+L4+L7;
Women optimum tooth bit combination determines unit, for when the sex of destination object is women, determines The optimum tooth bit combination that destination object is corresponding: U1+U3+U7+L7;
Unknown sex optimum tooth bit combination determines unit, is used for when sex the unknown of destination object, really The optimum tooth bit combination that the object that sets the goal is corresponding: U1+U2+U3+U5+U6+U7+L7;
Wherein, U1 represents maxillary central incisors, and U2 represents upper eyelid laxity, and U3 represents eye tooth, U5 Representing the upper jaw the second premolars, U6 represents maxillary first molar, and U7 represents maxillary second molar, L4 generation Table mandibular first premolar, L7 represents mandibular second molar.
By above-mentioned image dividing processing module 24, it may be determined that under existing object different sexes parameter Excellent tooth bit combination;Above-mentioned optimum tooth hyte is combined into the follow-up age relatively accurately inferring existing object and carries Supply preferable data combination foundation.
Further, in order to relatively accurately infer the age of existing object, above-mentioned age data obtains Module 28 includes:
Men age data capture unit, for when the sex of destination object is male, uses male Age models obtains age data, and wherein, men age model is:
Y=-19.617Lg10 (VU1)-14.514Lg10 (VU2)+37.349Lg10 (VU3)
-27.002Lg10(VL4)-18.071Lg10(VU6)-21.599Lg10(VL7)+110.318;
Female age data capture unit, for when the sex of destination object is women, uses women Age models obtains age data, and wherein, female age model is:
Y=-12.419Lg10 (VU1)+26.884Lg10 (VU3)-37.156Lg10 (VU7)
-26.511Lg10(VL7)+97.403;
Unknown Sex, Age data capture unit, for when the sex of destination object is unknown, using Unknown Sex, Age model obtains age data, and wherein, unknown Sex, Age model is:
Y=-20.464Lg10 (VU1)-9.069Lg10 (VU2)+41.347Lg10 (VU3)
-12.905Lg10(VU5)-13.566Lg10(VU6)-17.807Lg10(VU7)
-20.254Lg10(VL7)+99;
Wherein, Y represents the age, and Lg10 represents common logarithm conversion, and VU1 represents described U1 pulp cavity Bulking value, VU2 represents the bulking value of described U2 pulp cavity, and VU3 represents the bulking value of described U3 pulp cavity, VU5 represents the bulking value of described U5 pulp cavity, and VU6 represents the bulking value of described U6 pulp chamber, and VU7 represents The bulking value of described U7 pulp chamber, VL4 represents the bulking value of described L4 pulp cavity, and VL7 represents described L7 The bulking value of pulp chamber.
By the process of above-mentioned age data acquisition module 28, can relatively accurately infer existing object Age data, and applied range, be not limited to the existing state of existing object.
In order to obtain the age models under above-mentioned different sexes parameter, said apparatus also includes:
Sample image processing module, on the multiple tooth positions by the sample object to appointment number The view data of tooth carries out image procossing, is partitioned into pulp cavity or the pulp chamber of sample object tooth;Multiple Tooth on tooth position includes: single maxillary central incisors, upper eyelid laxity, eye tooth, the upper jaw Two premolarss, infradentale, lower jaw lateral incisor, lower jaw canine tooth, mandibular first premolar, lower jaw Second premolars, and the maxillary first molar of many, maxillary second molar, mandibular first molar and under Jaw second molar;
Sample tooth computing module, for calculate tooth on multiple tooth positions of sample object pulp cavity or Pulp chamber bulking value;
Model construction module, for the pulp cavity according to the tooth on multiple tooth positions of sample object or pulp chamber Bulking value, the actual age of sample object and sex, use multiple linear regression analysis to determine sample pair The optimum tooth bit combination of elephant and age models.
By above-mentioned sample image processing module, sample tooth computing module and model construction module Process, the age models under different sexes parameter can be obtained, utilize this age models can be to currently The age of object infers.
Above-mentioned model construction module, in being embodied as, also includes: data extracting unit, extracts same The pulp cavity of the sample tooth under one sex parameter or pulp chamber volume data;Independent variable setup unit, is used for The pulp cavity of the sample tooth under same sex parameter or pulp chamber volume data are carried out the number after logarithmic transformation Value is set as independent variable;Dependent variable setup unit, for setting actual age corresponding for sample tooth For dependent variable;Model construction unit, for by multiple linear regression analysis, is calculated sample pair The optimum tooth bit combination of elephant and age models.
By the way of the multiple linear regression analysis of model construction module in said apparatus, can get Excellent tooth bit combination and age models, and then realize the Age Estimation to destination object.
Embodiment 3
The method of the embodiment of the present invention is the method by iconography, the CBCT, this CBCT of shooting tooth It it is a kind of dentistry special CT image;Then image is measured, be so not only suitable for corpse and be also suitable In live body.
The theoretical basis of the embodiment of the present invention is second phase dentin deposition.Second phase dentin deposition is tooth A kind of age_related changes of pulp cavity, this change is to exist throughout one's life;Along with the continuous growth at age, Second phase, dentin was constantly deposited on pulp cavity wall, and the volume of corresponding pulp cavity constantly reduces;So Age Estimation can be carried out by the relation of the volume of calculating pulp cavity with age.The embodiment of the present invention Method be retrospective collection batch of data, by calculating tooth pulp cavity or the volume of pulp chamber and year The relation in age obtains a formula, uses this formula to carry out Age Estimation later.
See a kind of method inferring the age based on tooth that Fig. 3 shows that the embodiment of the present invention is provided Particular flow sheet, the method comprises the following steps:
Step S302, image acquisition;
The present embodiment is with 125 male shot by NewTom VG conical beam CT machine and 115 women CBCT 3 d image data as a example by illustrate, by 125 male and the CBCT of 115 women 3 d image data is as sample, and wherein, each image comprises at least one simultaneously and meets inclusive criteria Single maxillary central incisors, upper eyelid laxity, eye tooth, the upper jaw the second premolars, in lower jaw Incisor, lower jaw lateral incisor, lower jaw canine tooth, mandibular first premolar, second mandibular premolars, and many The maxillary first molar of root, maxillary second molar, mandibular first molar, mandibular second molar.Totally 13 The tooth of individual tooth position.Each tooth position tooth inclusive criteria is: bad without dental caries, without excessive wear, without prosthetic Filling or treatment, without metal artifacts interference, pulp cavity without denticle and dispersivity calcification.
Step S304,13 tooth position pulp cavitys or the segmentation of pulp chamber and volume calculate, specific as follows:
The elementary cell of composition conical beam CT three-dimensional data is voxel;Above-mentioned voxel be isotropic just Cube.After data are rebuild by 0.15 millimeter of voxel value, the volume of each voxel is 0.15 millimeter × 0.15 millimeter × 0.15 millimeter.After data derive in dicom format, import to a software increased income In ITK-SNAP 2.4, after using software I TK-SNAP 2.4 to be partitioned into tooth pulp cavity or pulp chamber, phase When belonging to pulp cavity or pulp chamber in having demarcated which voxel.Calculate the number of voxel, and be multiplied by every individuality The pulp cavity that just can calculate of bulking value of element or the volume of pulp chamber.
Concrete, the cutting procedure of multirooted teeth is: after CBCT image taking completes, by 0.15 millimeter of body The DICOM data that element value was rebuild import in ITK-SNAP 2.4 software;Artificial setting segmentation Threshold value, the position that position is pulp cavity of white, i.e. determine which voxel belongs to pulp cavity;Use in software Small tool, add a bubble in part to be split, be equivalent to arrange a starting point, software Automatically the voxel consistent with starting point threshold value is identified;Whole pulp cavity has been split;For multirooted teeth, for Avoid the impact of the different and complicated root canal system of the number of root, flat with floor of pulp chamber plane for segmentation Face, clips root of the tooth, a reservation pulp chamber part;Calculate its voxel number and be multiplied by the body of each voxel Long-pending, i.e. try to achieve the volume of pulp chamber.
Concrete, the cutting procedure basic step of multi-rooted tooth: after CBCT image taking completes, by 0.15 The DICOM data that millimeter voxel value was rebuild import in ITK-SNAP 2.4 software;Artificial setting The threshold value of segmentation, the position that position is pulp cavity of white, i.e. determine which voxel belongs to pulp cavity;Use Small tool in software, adds a bubble in part to be split, is equivalent to arrange a starting point, Software identifies the voxel consistent with starting point threshold value automatically;Whole pulp cavity has been split;Due to multi-rooted tooth Only one of which root of the tooth, and be that a continuous print is overall, it is not necessary to the volume of segmentation pulp chamber;Calculate voxel Value, draws volume.
By above-mentioned steps, calculate 13 tooth position teeth of 240 patient every patients pulp cavity or Person's pulp chamber volumetric quantities.
Step S306, multiple linear regression analysis calculates age formula corresponding to optimum tooth bit combination (i.e. Above-mentioned age models);
13 tooth position tooth pulp cavitys or pulp chamber bulking value are carried out the numerical value after logarithmic transformation as from becoming Amount, the data obtained uses SPSS19.0 to carry out multiple linear regression as dependent variable to divide by the corresponding age Analysis, calculates optimum tooth bit combination and math equation is as follows:
For male, the optimum tooth hyte of Age Estimation is combined into: U1+U2+U3+U6+L4+L7;
Age Estimation formula is:
Y=-19.617Lg10 (VU1)-14.514Lg10 (VU2)+37.349Lg10 (VU3)
-27.002Lg10(VL4)-18.071Lg10(VU6)-21.599Lg10(VL7)+110.318;
For women, the optimum tooth hyte of Age Estimation is combined into: U1+U3+U7+L7
Age Estimation formula is:
Y=-12.419Lg10 (VU1)+26.884Lg10 (VU3)-37.156Lg10 (VU7)
-26.511Lg10(VL7)+97.403;
For unknown sex, the optimum tooth position of Age Estimation is: U1+U2+U3+U5+U6+U7+L7
Age Estimation formula is:
Y=-20.464Lg10 (VU1)-9.069Lg10 (VU2)+41.347Lg10 (VU3)
-12.905Lg10(VU5)-13.566Lg10(VU6)-17.807Lg10(VU7)
-20.254Lg10(VL7)+99;
Wherein, U1 represents maxillary central incisors, and U2 represents upper eyelid laxity, and U3 represents eye tooth, U5 Representing the upper jaw the second premolars, U6 represents maxillary first molar, and U7 represents maxillary second molar, L4 generation Table mandibular first premolar, L7 represents mandibular second molar;Wherein, Y represents the age, and Lg10 represents Common logarithm converts, and VU1 represents the bulking value of described U1 pulp cavity, and VU2 represents the body of described U2 pulp cavity Product value, VU3 represents the bulking value of described U3 pulp cavity, and VU5 represents the bulking value of described U5 pulp cavity, VU6 Representing the bulking value of described U6 pulp chamber, VU7 represents the bulking value of described U7 pulp chamber, and VL4 represents described The bulking value of L4 pulp cavity, VL7 represents the bulking value of described L7 pulp chamber.
With the standard error (standard errors of the estimate, SEE) of predictive value it is Index, the accuracy of evaluation model prediction.Then for male, women and unknown sex population, SEE divides Not being 7.100 years old, 6.258 years old, 6.970 years old, this result disclosure satisfy that practical application request.
Step S308, applies above-mentioned age formula to calculate the age of current target object;Specifically calculated Journey is as follows:
(1) the dental imaging data of destination object are obtained;As: carry out Age Estimation needed for collection individual The CBCT image of (i.e. destination object);
(2) application image dividing processing technology, is partitioned into and target pair from above-mentioned dental imaging data The view data of the optimum tooth bit combination that the sex of elephant is corresponding;
(3) pulp cavity or the marrow of the tooth of each tooth position in the view data of above-mentioned optimum tooth bit combination are calculated Chamber body product value;
Split according to sex and calculate pulp cavity or the pulp chamber volume of its image tooth position tooth;Such as women, Then its CBCT image maxillary central incisors of separation calculation, eye tooth, maxillary second molar, lower jaw second Grind one's teeth in sleep the pulp cavity of four tooth position teeth or pulp chamber bulking value;
(4) by pulp cavity or the property of pulp chamber bulking value input extremely above-mentioned destination object of the tooth of each tooth position In not corresponding age models (the most above-mentioned age formula), it is thus achieved that the age data of above-mentioned destination object. Such as women, then bring formula Y=-12.419Lg10 (VU1)+26.884Lg10 (VU3) into
-37.156Lg10(VU7)-26.511Lg10(VL7)+97.403;Obtain the last deduction age.
Said method is applicable to the Age Estimation under different situations, and is not only restricted to corpse or live body, and Can be used for the Age Estimation of adult.Combine with other Age Estimation methods under specific circumstances, can Obtain more preferable effect.
It addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit In, it is also possible to it is that unit is individually physically present, it is also possible to two or more unit are integrated in In one unit.
Last it is noted that the detailed description of the invention of embodiment described above, the only present invention, use So that technical scheme to be described, being not intended to limit, protection scope of the present invention is not limited to This, is although the present invention being described in detail with reference to previous embodiment, the ordinary skill of this area Personnel are it is understood that any those familiar with the art is at the technical scope that the invention discloses In, the technical scheme described in previous embodiment still can be modified by it maybe can readily occur in change Change, or wherein portion of techniques feature is carried out equivalent;And these are revised, change or replace, The essence not making appropriate technical solution departs from the spirit and scope of embodiment of the present invention technical scheme.All Should contain within protection scope of the present invention.Therefore, protection scope of the present invention should be described with right The protection domain required is as the criterion.

Claims (10)

1. the method inferring the age based on tooth, it is characterised in that including:
Obtain the dental imaging data of destination object;
Application image dividing processing technology, is partitioned into and described target pair from described dental imaging data The view data of the optimum tooth bit combination that the sex of elephant is corresponding;
Calculate pulp cavity or the pulp chamber body of the tooth of each tooth position in the view data of described optimum tooth bit combination Product value;
By pulp cavity or the property of pulp chamber bulking value input extremely described destination object of the tooth of each tooth position described In not corresponding age models, it is thus achieved that the age data of described destination object;Wherein, described age mould Type be the pulp cavity of the tooth of the multiple tooth positions previously according to sample object or pulp chamber bulking value built-up.
Method the most according to claim 1, it is characterised in that from described dental imaging data The view data being partitioned into the optimum tooth bit combination corresponding with the sex of described destination object includes:
When the sex of described destination object is male, corresponding optimum tooth bit combination is: U1+U2+U3+U6+L4+L7;
When the sex of described destination object is women, corresponding optimum tooth bit combination is: U1+U3+U7+L7;
When sex the unknown of described destination object, corresponding optimum tooth bit combination is: U1+U2+U3+U5+U6+U7+L7;
Wherein, U1 represents maxillary central incisors, and U2 represents upper eyelid laxity, and U3 represents eye tooth, U5 Representing the upper jaw the second premolars, U6 represents maxillary first molar, and U7 represents maxillary second molar, L4 generation Table mandibular first premolar, L7 represents mandibular second molar.
Method the most according to claim 1, it is characterised in that by the tooth of each tooth position described Pulp cavity or the input of pulp chamber bulking value in age models corresponding to the sex of described destination object, it is thus achieved that The age data of described destination object includes:
When the sex of described destination object is male, corresponding age models is:
Y=-19.617Lg10 (VU1)-14.514Lg10 (VU2)+37.349Lg10 (VU3)
-27.002Lg10(VL4)-18.071Lg10(VU6)-21.599Lg10(VL7)+110.318;
When the sex of described destination object is women, corresponding age models is:
Y=-12.419Lg10 (VU1)+26.884Lg10 (VU3)-37.156Lg10 (VU7)
-26.511Lg10(VL7)+97.403;
When the sex of described destination object is unknown, corresponding age models is:
Y=-20.464Lg10 (VU1)-9.069Lg10 (VU2)+41.347Lg10 (VU3)
-12.905Lg10(VU5)-13.566Lg10(VU6)-17.807Lg10(VU7)
-20.254Lg10(VL7)+99;
Wherein, Y represents the age, and Lg10 represents common logarithm conversion, and VU1 represents described U1 pulp cavity Bulking value, VU2 represents the bulking value of described U2 pulp cavity, and VU3 represents the bulking value of described U3 pulp cavity, VU5 represents the bulking value of described U5 pulp cavity, and VU6 represents the bulking value of described U6 pulp chamber, and VU7 represents The bulking value of described U7 pulp chamber, VL4 represents the bulking value of described L4 pulp cavity, and VL7 represents described L7 The bulking value of pulp chamber.
4. according to the method according to any one of claim 1-3, it is characterised in that described age mould Type is pulp cavity or the built-up bag of pulp chamber bulking value of the tooth of the multiple tooth positions previously according to sample object Include:
By the view data of the tooth on multiple tooth positions of the sample object of appointment number is carried out image Process, be partitioned into pulp cavity or the pulp chamber of described sample object tooth;Tooth bag on the plurality of tooth position Include: single maxillary central incisors, upper eyelid laxity, eye tooth, the upper jaw the second premolars, lower jaw Central incisor, lower jaw lateral incisor, lower jaw canine tooth, mandibular first premolar, second mandibular premolars, and Maxillary first molar, maxillary second molar, mandibular first molar and the mandibular second molar of many;
Calculate pulp cavity or the pulp chamber bulking value of tooth on multiple tooth positions of described sample object;
Pulp cavity according to the tooth on multiple tooth positions of described sample object or pulp chamber bulking value, described sample The actual age of this object and sex, described sample object is to use multiple linear regression analysis to determine Excellent tooth bit combination and age models.
Method the most according to claim 4, it is characterised in that many according to described sample object The pulp cavity of the tooth on individual tooth position or pulp chamber bulking value, the actual age of described sample object and sex, Multiple linear regression analysis is used to determine that the optimum tooth bit combination of described sample object and age models include:
Extract pulp cavity or the pulp chamber volume data of described sample tooth under same sex parameter;
Pulp cavity or the pulp chamber volume data of the described sample tooth under same sex parameter are carried out logarithm change Setting value after changing is independent variable;
Actual age corresponding for described sample tooth is set as dependent variable;
By multiple linear regression analysis, it is calculated optimum tooth bit combination and the year of described sample object Rheology model.
6. the device inferring the age based on tooth, it is characterised in that including:
Dental imaging data acquisition module, for obtaining the dental imaging data of destination object;
Image dividing processing module, for application image dividing processing technology, from described dental imaging number The view data of the optimum tooth bit combination corresponding with the sex of described destination object it is partitioned according to;
Bulking value computing module, each tooth position in the view data calculating described optimum tooth bit combination The pulp cavity of tooth or pulp chamber bulking value;
Age data acquisition module, for by the pulp cavity of the tooth of each tooth position described or pulp chamber bulking value Input is in age models corresponding to the sex of described destination object, it is thus achieved that the age of described destination object Data;Wherein, described age models is the pulp cavity of tooth of the multiple tooth positions previously according to sample object Or pulp chamber bulking value is built-up.
Device the most according to claim 6, it is characterised in that described image dividing processing module Including:
Male's optimum tooth bit combination determines unit, is used for when the sex of described destination object is male, Determine the optimum tooth bit combination that described destination object is corresponding: U1+U2+U3+U6+L4+L7;
Women optimum tooth bit combination determines unit, is used for when the sex of described destination object is women, Determine the optimum tooth bit combination that described destination object is corresponding: U1+U3+U7+L7;
Unknown sex optimum tooth bit combination determines unit, is used for when sex the unknown of described destination object, Determine the optimum tooth bit combination that described destination object is corresponding: U1+U2+U3+U5+U6+U7+L7;
Wherein, U1 represents maxillary central incisors, and U2 represents upper eyelid laxity, and U3 represents eye tooth, U5 Representing the upper jaw the second premolars, U6 represents maxillary first molar, and U7 represents maxillary second molar, L4 generation Table mandibular first premolar, L7 represents mandibular second molar.
Device the most according to claim 6, it is characterised in that described age data acquisition module Including:
Men age data capture unit, for when the sex of described destination object is male, uses Men age model obtains age data, and wherein, described men age model is:
Y=-19.617Lg10 (VU1)-14.514Lg10 (VU2)+37.349Lg10 (VU3)
-27.002Lg10(VL4)-18.071Lg10(VU6)-21.599Lg10(VL7)+110.318;
Female age data capture unit, for when the sex of described destination object is women, uses Female age model obtains age data, and wherein, described female age model is:
Y=-12.419Lg10 (VU1)+26.884Lg10 (VU3)-37.156Lg10 (VU7)
-26.511Lg10(VL7)+97.403;
Unknown Sex, Age data capture unit, is used for when the sex of described destination object is unknown, Using unknown Sex, Age model to obtain age data, wherein, described unknown Sex, Age model is:
Y=-20.464Lg10 (VU1)-9.069Lg10 (VU2)+41.347Lg10 (VU3)
-12.905Lg10(VU5)-13.566Lg10(VU6)-17.807Lg10(VU7)
-20.254Lg10(VL7)+99;
Wherein, Y represents the age, and Lg10 represents common logarithm conversion, and VU1 represents described U1 pulp cavity Bulking value, VU2 represents the bulking value of described U2 pulp cavity, and VU3 represents the bulking value of described U3 pulp cavity, VU5 represents the bulking value of described U5 pulp cavity, and VU6 represents the bulking value of described U6 pulp chamber, and VU7 represents The bulking value of described U7 pulp chamber, VL4 represents the bulking value of described L4 pulp cavity, and VL7 represents described L7 The bulking value of pulp chamber.
9. according to the device according to any one of claim 6-8, it is characterised in that described device is also Including:
Sample image processing module, on the multiple tooth positions by the sample object to appointment number The view data of tooth carries out image procossing, is partitioned into pulp cavity or the pulp chamber of described sample object tooth; Tooth on the plurality of tooth position includes: single maxillary central incisors, upper eyelid laxity, eye tooth, The upper jaw the second premolars, infradentale, lower jaw lateral incisor, lower jaw canine tooth, mandibular first premolar, Second mandibular premolars, and the maxillary first molar of many, maxillary second molar, mandibular first molar And mandibular second molar;
Sample tooth computing module, for calculating the marrow of the tooth on multiple tooth positions of described sample object Chamber or pulp chamber bulking value;
Model construction module, for according to the pulp cavity of the tooth on multiple tooth positions of described sample object or Pulp chamber bulking value, the actual age of described sample object and sex, use multiple linear regression analysis true The optimum tooth bit combination of fixed described sample object and age models.
Device the most according to claim 9, it is characterised in that described model construction module bag Include:
Data extracting unit, extracts pulp cavity or the pulp chamber body of described sample tooth under same sex parameter Volume data;
Independent variable setup unit, for by the pulp cavity of the described sample tooth under same sex parameter or marrow It is independent variable that building volume data carry out the setting value after logarithmic transformation;
Dependent variable setup unit, for being set as dependent variable by actual age corresponding for described sample tooth;
Model construction unit, for by multiple linear regression analysis, is calculated described sample object Optimum tooth bit combination and age models.
CN201610218021.XA 2016-04-08 2016-04-08 A kind of method and apparatus for inferring the age based on tooth Active CN105913424B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610218021.XA CN105913424B (en) 2016-04-08 2016-04-08 A kind of method and apparatus for inferring the age based on tooth

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610218021.XA CN105913424B (en) 2016-04-08 2016-04-08 A kind of method and apparatus for inferring the age based on tooth

Publications (2)

Publication Number Publication Date
CN105913424A true CN105913424A (en) 2016-08-31
CN105913424B CN105913424B (en) 2019-01-29

Family

ID=56745491

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610218021.XA Active CN105913424B (en) 2016-04-08 2016-04-08 A kind of method and apparatus for inferring the age based on tooth

Country Status (1)

Country Link
CN (1) CN105913424B (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110175973A (en) * 2018-02-11 2019-08-27 上海市刑事科学技术研究院 The measuring method of pigment and its application on medical jurisprudence in a kind of human cartilage
CN112164075A (en) * 2020-09-23 2021-01-01 广东工业大学 Segmentation method for maxillary sinus membrane morphological change
US11321828B2 (en) 2019-04-09 2022-05-03 Wayne Needham Machine learning system animal age determination
TWI773534B (en) * 2021-09-17 2022-08-01 長庚醫療財團法人高雄長庚紀念醫院 Tooth age prediction method and tooth age prediction system

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101052306A (en) * 2004-11-17 2007-10-10 Csb-系统公司 Data acquisition for sorting and qualitative and quantitive measurement to body of lovestock slaughtered

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101052306A (en) * 2004-11-17 2007-10-10 Csb-系统公司 Data acquisition for sorting and qualitative and quantitive measurement to body of lovestock slaughtered

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
FAN YANG等: "Dental age estimation through volume matching of teeth imaged by cone-beam CT", 《FORENSIC SCIENCE INTERNATIONAL 159S》 *
ZHI-PU GE等: "Age estimation based on pulp chamber volume of first molars from cone-beam computed tomography images", 《FORENSIC SCIENCE INTERNATIONAL 253》 *
李冰等: "法医口腔学实践", 《中国实用口腔科杂志》 *
杨爽等: "放射影像学推断牙龄的方法及应用", 《中华口腔医学研究杂志》 *

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110175973A (en) * 2018-02-11 2019-08-27 上海市刑事科学技术研究院 The measuring method of pigment and its application on medical jurisprudence in a kind of human cartilage
US11321828B2 (en) 2019-04-09 2022-05-03 Wayne Needham Machine learning system animal age determination
CN112164075A (en) * 2020-09-23 2021-01-01 广东工业大学 Segmentation method for maxillary sinus membrane morphological change
CN112164075B (en) * 2020-09-23 2023-08-01 广东工业大学 Segmentation method for maxillary sinus membrane morphology change
TWI773534B (en) * 2021-09-17 2022-08-01 長庚醫療財團法人高雄長庚紀念醫院 Tooth age prediction method and tooth age prediction system

Also Published As

Publication number Publication date
CN105913424B (en) 2019-01-29

Similar Documents

Publication Publication Date Title
Lockwood Sexual dimorphism in the face of Australopithecus africanus
CN109363786B (en) Tooth orthodontic correction data acquisition method and device
Short et al. Validation of a computer modelled forensic facial reconstruction technique using CT data from live subjects: a pilot study
Koch et al. A framework for facial surgery simulation
US11734825B2 (en) Segmentation device and method of generating learning model
Rynn et al. Appraisal of traditional and recently proposed relationships between the hard and soft dimensions of the nose in profile
Tilotta et al. Construction and analysis of a head CT-scan database for craniofacial reconstruction
CN104867131A (en) Dental crown data extraction method based on digital model
CN107239649B (en) A kind of method that oral cavity parametrization measures
EA201700561A1 (en) METHOD AND SYSTEM OF TEETH ALIGNMENT ON THE BASIS OF MODELING THE CROWN AND ROOTS MOVEMENT
CN109528323A (en) A kind of orthodontic procedure and device based on artificial intelligence
CN105913424A (en) Tooth-based age estimation method and device
CN105389444B (en) A kind of gum edge curve design method of personalization tooth-implanting
von Koenigswald et al. Jaw movement in fossil mammals: analysis, description and visualization
CN109712703A (en) A kind of correction prediction technique and device based on machine learning
CN108986111A (en) A kind of three-dimensional dentognathic model dividing method for area of computer aided stealth correction
CN107909630A (en) A kind of tooth bitmap generation method
CN108038877A (en) One kind visualization cephalometry method, system and computer-processing equipment
CN111265316B (en) Tooth model stress analysis method and device for simulating wearing of orthodontic appliance
CN112790879A (en) Tooth axis coordinate system construction method and system of tooth model
Lindsay et al. Revealing the face of an ancient egyptian: synthesis of current and traditional approaches to evidence‐based facial approximation
Tian et al. Efficient tooth gingival margin line reconstruction via adversarial learning
CN112201349A (en) Orthodontic operation scheme generation system based on artificial intelligence
Marado Characterization of the Dental Morphology of a Portuguese Sample from the 19 th and 20 th Centuries
CN115690045A (en) Quantitative assessment method for bone increment before and after periodontitis treatment based on curved surface fault slice

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant