Methods and apparatuses for creating a statistical average model of an enamel-dentine junction

US10373701B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10373701-B2
Application numberUS-201414540457-A
CountryUS
Kind codeB2
Filing dateNov 13, 2014
Priority dateNov 18, 2013
Publication dateAug 6, 2019
Grant dateAug 6, 2019

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  5. First independent claim

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Abstract

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Disclosed is method and apparatus for creating a statistical average model of an enamel-dentine junction. The method includes steps of acquiring CT image data of a tooth; segmenting the CT image data to obtain a surface of an enamel-dentine junction; segmenting the obtained surface using a curvature-based clustering algorithm to remove a bottom of the enamel-dentine junction; spherical-parameterizing, by means of spherical harmonic analysis, the surface of the enamel-dentine junction after removal of the bottom; and aligning different samples of the tooth to obtain a statistical average model.

First claim

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What is claimed is: 1. A method of processing image data of a tooth for producing a physical tooth model that simulates structural and optical characteristics of the tooth, the method comprising: acquiring, by a Computerized Tomography (CT) machine, CT image data of a tooth; segmenting, by a computer, the CT image data to obtain a surface of an enamel-dentine junction of the tooth; segmenting, by the computer, the obtained surface using a curvature-based clustering algorithm to remove a bottom of the enamel-dentine junction, wherein a triangular grid model is used to emulate the enamel-dentine junction, and wherein said curvature-based clustering algorithm comprises computing normal vectors at the vertices of the triangular grid model and computing curvatures at the vertices of the triangular grid model based on these normal vectors; spherical-parameterizing, by the computer and by means of spherical harmonic analysis, the surface of the enamel-dentine junction after removal of the bottom; and aligning, by the computer, different samples of the tooth to create a statistical average model of the enamel-dentine junction; wherein the statistical average model of the enamel-dentine junction is used to produce the physical tooth model of the tooth, so that the tooth model simulates structural and optical characteristics of the tooth. 2. The method according to claim 1 , wherein the CT image data are segmented using the Level Set algorithm. 3. The method according to claim 2 , wherein the clustering algorithm comprises the K-Means algorithm. 4. The method according to claim 3 , wherein the spherical-parameterization is performed using an optimized Control of Area and Length Distortions algorithm. 5. The method according to claim 4 , wherein the Control of Area and Length Distortions algorithm is optimized by adding weights. 6. The method according to claim 1 , further comprising: applying spherical harmonics Fourier expansion on the parameterized surface after the spherical-parameterization. 7. The method according to claim 6 , wherein the alignment is performed in a spherical coordinate system. 8. The method according to claim 1 , wherein the alignment is performed by means of the SPHARM Registration with Iterative Closest Point (SHREC) algorithm. 9. An apparatus for processing image data of a tooth for producing a physical tooth model that simulates structural and optical characteristics of the tooth, the apparatus comprising: a Computerized Tomography (CT) machine configured to acquire CT image data of a tooth; a computer configured to create a statistical average model of an enamel-dentine junction of the tooth by segmenting the CT image data to obtain a surface of the enamel-dentine junction; segmenting the obtained surface using a curvature-based clustering algorithm to remove a bottom of the enamel-dentine junction, wherein a triangular grid model is used to emulate the enamel-dentine junction, and wherein said curvature-based clustering algorithm comprises computing normal vectors at the vertices of the triangular grid model and computing curvatures at the vertices of the triangular grid model based on these normal vectors; spherical-parameterizing, by means of spherical harmonic analysis, the surface of the enamel-dentine junction after removal of the bottom; and aligning different samples of the tooth to obtain the statistical average model; wherein the statistical average model of the enamel-dentine junction is used to produce the physical tooth model of the tooth, so that the tooth model simulates structural and optical characteristics of the tooth based.

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Classifications

  • based on shape, e.g. active shape models [ASM] · CPC title

  • Medical · CPC title

  • Physics · mapped topic

  • for evaluating statistical data {, e.g. average values, frequency distributions, probability functions, regression analysis (forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04)} · CPC title

  • Finite element generation, e.g. wire-frame surface description, {tesselation} · CPC title

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What does patent US10373701B2 cover?
Disclosed is method and apparatus for creating a statistical average model of an enamel-dentine junction. The method includes steps of acquiring CT image data of a tooth; segmenting the CT image data to obtain a surface of an enamel-dentine junction; segmenting the obtained surface using a curvature-based clustering algorithm to remove a bottom of the enamel-dentine junction; spherical-paramete…
Who is the assignee on this patent?
Nuctech Co Ltd
What technology area does this patent fall under?
Primary CPC classification G16B5/00. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Aug 06 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).