ToothForge: Automatic Dental Shape Generation using Synchronized Spectral Embeddings
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F26%3A0197158" target="_blank" >RIV/00216305:26230/26:0197158 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-031-96625-5_21" target="_blank" >http://dx.doi.org/10.1007/978-3-031-96625-5_21</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-96625-5_21" target="_blank" >10.1007/978-3-031-96625-5_21</a>
Alternative languages
Result language
angličtina
Original language name
ToothForge: Automatic Dental Shape Generation using Synchronized Spectral Embeddings
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of Information Processing in Medical Imaging 2025
ISBN
9783031966248
ISSN
0302-9743
e-ISSN
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Number of pages
14
Pages from-to
313-326
Publisher name
Springer Science and Business Media Deutschland GmbH
Place of publication
Kos
Event location
Kos
Event date
May 25, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001585672900021