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Annotating the Inferior Alveolar Canal: The Ultimate Tool

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Image Analysis and Processing – ICIAP 2023 (ICIAP 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14233))

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Abstract

The Inferior Alveolar Nerve (IAN) is of main interest in the maxillofacial field, as an accurate localization of such nerve reduces the risks of injury during surgical procedures. Although recent literature has focused on developing novel deep learning techniques to produce accurate segmentation masks of the canal containing the IAN, there are still strong limitations due to the scarce amount of publicly available 3D maxillofacial datasets. In this paper, we present an improved version of a previously released tool, iacat (Inferior Alveolar Canal Annotation Tool), today used by medical experts to produce 3D ground truth annotation. In addition, we release a new dataset, ToothFairy, which is part of the homonymous MICCAI2023 challenge hosted by the Grand-Challenge platform, as an extension of the previously released Maxillo dataset, which was the only publicly available. With ToothFairy, the number of annotations has been increased as well as the quality of existing data.

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Notes

  1. 1.

    At the moment of writing this paper, there is only one single dataset publicly available: https://ditto.ing.unimore.it/maxillo/.

  2. 2.

    https://www.photoshop.com.

  3. 3.

    https://www.anatomage.com/invivo.

  4. 4.

    Please note that the Maxillo dataset released a total of 343 CBCTs proving a 3D annotation only for 91 of them.

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Acknowledgements

This project has received funding from the Department of Engineering “Enzo Ferrari” of the University of Modena through the FARD-2022 (Fondo di Ateneo per la Ricerca 2022).

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Authors and Affiliations

  1. University of Modena and Reggio Emilia, Modena, Italy

    Luca Lumetti, Vittorio Pipoli, Federico Bolelli & Costantino Grana

  2. University of Pisa, Pisa, Italy

    Vittorio Pipoli

Authors
  1. Luca Lumetti
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  2. Vittorio Pipoli
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  3. Federico Bolelli
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  4. Costantino Grana
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Corresponding author

Correspondence to Federico Bolelli .

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Editors and Affiliations

  1. University of Udine, Udine, Italy

    Gian Luca Foresti

  2. University of Udine, Udine, Italy

    Andrea Fusiello

  3. University of York, York, UK

    Edwin Hancock

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Lumetti, L., Pipoli, V., Bolelli, F., Grana, C. (2023). Annotating the Inferior Alveolar Canal: The Ultimate Tool. In: Foresti, G.L., Fusiello, A., Hancock, E. (eds) Image Analysis and Processing – ICIAP 2023. ICIAP 2023. Lecture Notes in Computer Science, vol 14233. Springer, Cham. https://doi.org/10.1007/978-3-031-43148-7_44

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  • DOI: https://doi.org/10.1007/978-3-031-43148-7_44

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  • Online ISBN: 978-3-031-43148-7

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