Hybrid level set based three-dimensional tooth modeling method

A modeling method and level set technology, applied in the field of image processing, can solve problems such as over-segmentation, under-segmentation, and boundary leakage

Active Publication Date: 2016-04-13
福州海狸家口腔科技有限公司
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Problems solved by technology

) Use binarization and boundary extraction to screen out the key points of the tooth contour of each slice, and then use the 3D-Delaunay tetrahedronization algorithm to obtain the solid model of the entire tooth; but the binarization operation is prone to over-segmentation or under-segmentation problems
Wu et al. (X.Wu, H.Gao, H.Heo, et al.ImprovedB-splinecontourfittingusinggeneticalgorithmforthesegmentationofdentalcomputerizedtomographyimagesequences.TheJournalofimagingscienceandtechnology, 2007,51(4):328-336.) use B-spline curve fitting based on genetic algorithm to extract each layer Sliced ​​tooth contours, but B-splines cannot handle tooth topology changes
Gao et al. (H.Gao, O.Chae.IndividualtoothsegmentationfromCTimagesusinglevelsetm

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  • Hybrid level set based three-dimensional tooth modeling method
  • Hybrid level set based three-dimensional tooth modeling method
  • Hybrid level set based three-dimensional tooth modeling method

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Embodiment Construction

[0058] Embodiments of the present invention will be further described below in conjunction with accompanying drawings:

[0059] Such as figure 1 Shown, the concrete realization steps of the present invention are as follows:

[0060] Step 1. Selection of the starting slice and initialization of the level set: first read the tooth CT image sequence, and then select a slice in which all the teeth appear and the alveolar bone rarely appears in the slice image of the dental neck as the starting point slice. On the initial slice image, outline the approximate outline of each tooth C i (i=1, 2,...n, n is the number of teeth) as the initial profile of the level set, such as figure 2 shown, and then use the C i (i=1, 2,...n) initialize n level set functions Φ i (i=1, 2, . . . n). Φ i is initialized by computing each point on the image to C i is done for signed distances, namely:

[0061] Φ i ( x )...

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Abstract

The invention provides a hybrid level set based three-dimensional tooth modeling method. The method comprises the following multiple steps: 1) selecting an initial slice and initializing a level set; 2) segmenting a tooth root slice image by utilizing a single-phase hybrid level set model constructed by combining priori shape constraint energy, Flux model based edge energy and priori gray based local region energy; 3) segmenting a tooth crown layer slice image by a dual-phase hybrid level set model in combination with regional competition constraint; and 4) reconstructing a contour segmentation based three-dimensional tooth model. According to the method, the hybrid level set model can effectively solve the problems of inaccuracy for edge positioning, incapability of processing an image, uneven gray level and the like in a conventional segmentation model, and an independent three-dimensional model of each tooth can be quickly and accurately constructed, so that a solid foundation is laid for making oral repair plans, biomechanical analysis and the like.

Description

technical field [0001] The invention belongs to the field of image processing and relates to the application of a level set method in three-dimensional tooth modeling. Background technique [0002] In recent years, with the rapid development of three-dimensional digital imaging technology in the field of stomatology, more and more computer-aided diagnosis and treatment have been applied in oral restoration, and it has gradually become the development trend in this field. In the computer oral restoration system, the first important thing is to obtain a digital three-dimensional tooth model, and the accuracy and integrity of the model are directly related to the results of subsequent tooth arrangement, implantation, orthodontics, and biomechanical analysis. [0003] At present, the most commonly used method for tooth modeling is to use image processing technology to segment tooth CT image sequences, that is, firstly segment tooth contours from each layer of CT slices, and then...

Claims

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Application Information

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IPC IPC(8): G06T17/30
CPCG06T17/30G06T2200/04
Inventor 吴婷张礼兵
Owner 福州海狸家口腔科技有限公司
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