CLAESSEN, FRANK THEODORUS CATHARINA,VERHEIJ, BAS ALEXANDER,ANSSARI MOIN, DAVID,CHERICI, TEO
申请号：
CA3085799
公开号：
CA3085799A1
申请日:
2018.12.21
申请国别(地区):
CA
年份:
2019
代理人:
摘要：
The invention relates to a computer-implemented method for automated 3D root shape prediction comprising: a pre-processor receiving 3D data defining at least one 3D representation of a tooth and processingthe 3D data, the processing including: transforming at least part of the 3D data into a voxel representation of a crown, the voxel representation defining a voxel space that fits the input space of a first 3D deep neural network executed on a computer； the pre-processor providing the voxel representation of the crown to the input of the 3D deep neural network, the 3D deep neural network being trained on the basis of clinical 3D data defining 3D representations of real teeth； the first 3D deep neural network generating a voxel representation of a predicted root or a complete tooth comprising the predicted root on the basis of the voxel representation of the crown, wherein the generation of the voxel representation of the predicted root or the complete tooth includes: determining voxel activations for voxels in a voxel space of the output of the 3D deep learning network, each voxel activation representing a probability measure defining the probability that a voxel is part of the root or the complete tooth； and, determining whether a voxel activation is part of the root or the complete tooth by comparing the voxel activation with a voxel activation threshold value.
