Global Patent Index - EP 4096569 A1

EP 4096569 A1 20221207 - TEETH SEGMENTATION USING NEURAL NETWORKS

Title (en)

TEETH SEGMENTATION USING NEURAL NETWORKS

Title (de)

ZAHNSEGMENTIERUNG UNTER VERWENDUNG NEURONALER NETZE

Title (fr)

SEGMENTATION DE DENTS À L'AIDE DE RÉSEAUX NEURONAUX

Publication

EP 4096569 A1 20221207 (EN)

Application

EP 21748002 A 20210129

Priority

  • US 202016778406 A 20200131
  • US 202117140739 A 20210104
  • US 2021015820 W 20210129

Abstract (en)

[origin: WO2021155230A1] A computer-implemented method and system of digitally segmenting teeth in a digital model comprises generating a panoramic image from a 3D digital model of a patient's dentition, labeling, using a first trained neural network, the panoramic image to provide a labeled panoramic image, mapping the labeled panoramic image to corresponding coarse digital surface triangle labels in the 3D digital model to provide a labeled 3D digital model, and segmenting the labeled 3D digital model to provide a segmented 3D digital model. A computer-implemented method and system of generating a panoramic image comprises determining, using a trained neural network, digital tooth bounding region(s) corresponding to digital teeth from a 2D depth map of a patient's dentition, connecting digital tooth bounding region(s) by a spline, determining sampled digital surface points from the sampled spline points; and determining associated digital surface points corresponding to each sampled digital surface point.

IPC 8 full level

A61C 13/00 (2006.01)

CPC (source: EP)

A61C 13/0004 (2013.01); A61C 13/34 (2013.01); G06T 7/11 (2017.01); G06T 2207/10028 (2013.01); G06T 2207/10081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30036 (2013.01); G06V 10/82 (2022.01); G06V 2201/03 (2022.01)

Designated contracting state (EPC)

AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

Designated extension state (EPC)

BA ME

Designated validation state (EPC)

KH MA MD TN

DOCDB simple family (publication)

WO 2021155230 A1 20210805; EP 4096569 A1 20221207; EP 4096569 A4 20240619; JP 2023512083 A 20230323

DOCDB simple family (application)

US 2021015820 W 20210129; EP 21748002 A 20210129; JP 2022546425 A 20210129