Data fusion method for oral CBCT image and laser scanning tooth grids

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...

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.

Images