Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Data Fusion Method of Oral CBCT Image and Laser Scanning Teeth Mesh

A laser scanning and data fusion technology, applied in image data processing, image analysis, image enhancement, etc., can solve the problems of complex algorithm process, insufficient efficiency and stability, efficiency and stability problems of automatic alignment scheme, and reduce interaction Degree, good stability, simple process effect

Active Publication Date: 2020-05-05
重庆牙佳医疗科技有限公司
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In February 2017, Volume 34, Issue 1, published in the Journal of Biomedical Engineering, "Tooth 3D Model Reconstruction Based on Fusion of Oral Computed Tomography and Laser Scanning Images", when aligning CBCT and scanning data, it is necessary to first CBCT images and scan grid data are used to segment the crown. The segmentation algorithms on both sides require user interaction to initialize. The algorithm process is relatively complicated, and there are certain efficiency and stability problems, especially when segmenting the crown from the CBCT image.
[0006] All in all: most of the current alignment technologies between CBCT images and scanned tooth grid data still use multiple sets of corresponding points for alignment, while a small number of automatic alignment schemes have complex algorithmic processes and have insufficient efficiency and stability.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Data Fusion Method of Oral CBCT Image and Laser Scanning Teeth Mesh
  • Data Fusion Method of Oral CBCT Image and Laser Scanning Teeth Mesh
  • Data Fusion Method of Oral CBCT Image and Laser Scanning Teeth Mesh

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] Below in conjunction with accompanying drawing and embodiment the present invention will be further described:

[0050] Such as Figure 1 to Figure 9 Shown, a kind of oral cavity CBCT image and the data fusion method of laser scanning tooth mesh, comprise the following steps:

[0051] Step 1: Read the CBCT image and scan tooth mesh model data

[0052] Read the 3D DICOM image sequence data obtained by CBCT scanning, as well as the tooth mesh model scanned by laser;

[0053]Step 2: Reconstruct the skeletal mesh model of the head with teeth from the CBCT image

[0054] Firstly, the mesh containing the tooth part is reconstructed from the CBCT image, and the alignment of the CBCT image and the tooth part of the scanned mesh model is transformed into the alignment of the reconstructed mesh model and the tooth part of the scanned tooth model. Specifically, the MarchingCubes method is used to extract the isosurface grid (Isosurface) from the CBCT image, and the head bone me...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a data fusion method for an oral cone beam CT (CBCT) image and laser scanning tooth grids, wherein the method belongs to the field of oral medical digitalization. Through quickly positioning a tooth part in the CBCT image data, and automatically dividing an upper jaw and a lower jaw by means of a least dividing method in a graph theory, interference of non-tooth part data (particularly teeth at the other side) in CBCT is eliminated, thereby greatly improving precision and stability in next-step initial aligning and accurate aligning. The data fusion method has advantages of simple process, higher efficiency, excellent stability, etc. Furthermore the data fusion method realizes higher user-friendly performance and higher convenience in point selection alignment based on user interaction. Firstly, the invention discloses a single-point mark alignment technique, thereby greatly reducing user interaction degree. Secondly, the data fusion method realizes no requirement for high accuracy in point selection by a user, thereby greatly reducing user interaction difficulty.

Description

technical field [0001] The invention belongs to the field of dental medical digitalization, and in particular relates to a data fusion method of oral cavity CBCT images and laser scanning tooth grids. Background technique [0002] At present, the alignment function of most related software products requires user interaction, and this interaction requires a lot of work (the user needs to adjust the perspective of the two models, and more accurately mark the correspondence of 3 groups (or more) on the two models. point). [0003] Few products provide automatic alignment functions, but still require user-interactive preprocessing and the stability of the algorithm cannot be guaranteed (such as Noble Clinician or Blue Sky Plant). [0004] The patent with publication number CN105447908A discloses a dentition model generation method based on oral cavity scan data and CBCT data. This method still requires the user to mark multiple sets of corresponding points when aligning CBCT im...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/11G06T17/00
CPCG06T7/11G06T17/00G06T2207/20221
Inventor 余泽云李亚龙
Owner 重庆牙佳医疗科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products