Publication detail

LMVSegRNN and Poseidon3D: Addressing Challenging Teeth Segmentation Cases in 3D Dental Surface Orthodontic Scans

KUBÍK, T. ŠPANĚL, M.

Original Title

LMVSegRNN and Poseidon3D: Addressing Challenging Teeth Segmentation Cases in 3D Dental Surface Orthodontic Scans

Type

journal article in Web of Science

Language

English

Original Abstract

The segmentation of teeth in 3D dental scans is difficult due to variations in teeth shapes, misalignments, occlusions, or the present dental appliances. Existing methods consistently adhere to geometric representations, omitting the perceptual aspects of the inputs. In addition, current works often lack evaluation on anatomically complex cases due to the unavailability of such datasets. We present a  projection-based approach towards accurate teeth segmentation that operates in a detect-and-segment manner locally on each tooth in a  multi-view fashion. Information is spatially correlated via recurrent units. We show that a projection-based framework can precisely segment teeth in cases with anatomical anomalies with negligible information loss. It outperforms point-based, edge-based, and Graph Cut-based geometric approaches, achieving an average weighted IoU score of 0.971220.038 and a Hausdorff distance at 95 percentile of 0.490120.571 mm. We also release Poseidon's Teeth 3D (Poseidon3D), a novel dataset of real orthodontic cases with various dental anomalies like teeth crowding and missing teeth.

Keywords

dental scans, tooth segmentation, 3D mesh segmentation, Poseidon3D, Poseidon's Teeth 3D,  LMVSegRNN, orthodontic mesh segmentation dataset

Authors

KUBÍK, T.; ŠPANĚL, M.

Released

1. 10. 2024

ISBN

2306-5354

Periodical

Bioengineering

Year of study

11

Number

10

State

Swiss Confederation

Pages from

1

Pages to

18

Pages count

18

URL

https://www.mdpi.com/2306-5354/11/10/1014

BibTex

@article{BUT193275,
  author="Tibor {Kubík} and Michal {Španěl}",
  title="LMVSegRNN and Poseidon3D: Addressing Challenging Teeth Segmentation Cases in 3D Dental Surface Orthodontic Scans",
  journal="Bioengineering",
  year="2024",
  volume="11",
  number="10",
  pages="1--18",
  doi="10.3390/bioengineering11101014",
  issn="2306-5354",
  url="https://www.mdpi.com/2306-5354/11/10/1014"
}