Publication detail

ToothForge: Automatic Dental Shape Generation using Synchronized Spectral Embeddings

KUBÍK, T. GUIBAULT, F. ŠPANĚL, M. LOMBAERT, H.

Original Title

ToothForge: Automatic Dental Shape Generation using Synchronized Spectral Embeddings

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

We introduce ToothForge, a spectral approach for automatically generating novel 3D teeth, effectively addressing the sparsity of dental shape datasets. By operating in the spectral domain, our method enables compact machine learning modeling, allowing the generation of high-resolution tooth meshes in milliseconds. However, generating shape spectra comes with the instability of the decomposed harmonics. To address this, we propose modeling the latent manifold on synchronized frequential embeddings. Spectra of all data samples are aligned to a common basis prior to the training procedure, effectively eliminating biases introduced by the decomposition instability. Furthermore, synchronized modeling removes the limiting factor imposed by previous methods, which require all shapes to share a common fixed connectivity. Using a private dataset of real dental crowns, we observe a greater reconstruction quality of the synthetized shapes, exceeding those of models trained on unaligned embeddings. We also explore additional applications of spectral analysis in digital dentistry, such as shape compression and interpolation. ToothForge facilitates a range of approaches at the intersection of spectral analysis and machine learning, with fewer restrictions on mesh structure. This makes it applicable for shape analysis not only in dentistry, but also in broader medical applications, where guaranteeing consistent connectivity across shapes from various clinics is unrealistic.

Authors

KUBÍK, T.; GUIBAULT, F.; ŠPANĚL, M.; LOMBAERT, H.

Released

30. 5. 2025

Location

Kos

Pages from

1

Pages to

14

Pages count

14

BibTex

@inproceedings{BUT197158,
  author="KUBÍK, T. and GUIBAULT, F. and ŠPANĚL, M. and LOMBAERT, H.",
  title="ToothForge: Automatic Dental Shape Generation using Synchronized Spectral Embeddings",
  booktitle="Proceedings of Information Processing in Medical Imaging 2025",
  year="2025",
  pages="1--14",
  address="Kos"
}