Cone-Beam Computed Tomography contrast validation of an artificial periodontal phantom for use in endodontics

Jérôme Michetti (1, 2) , Adrian Basarab (3, 2) , Michel Tran (2) , Franck Diemer (4) , Denis Kouamé (3)

1 IRIT - Institut de recherche en informatique de Toulouse
2 UT3 - Université Toulouse III - Paul Sabatier
3 IRIT-TCI - Traitement et Compréhension d’Images
4 ICA - Institut Clément Ader

Validation of image processing techniques such as endodontic segmentations in cone-beam computed tomography (CBCT) is a challenging issue because of the lack of ground truth in in vivo experiments. The purpose of our study was to design an artificial surrounding tissues phantom able to provide CBCT image quality of real extracted teeth, similar to in vivo conditions. Note that these extracted teeth could be previously scanned using micro computed tomography (μCT) to access true quantitative measurements of the root canal anatomy. Different design settings are assessed in our study by comparison to in vivo images, in terms of the contrast-to-noise ratio (CNR) obtained between different anatomical structures. Concerning the root canal and the dentine, the best design setup allowed our phantom to provide a CNR difference of only 3% compared to clinical cases.

Mots clés: Dentistry; Computed tomography; Phantoms; Irrigation; In vivo; Bones; Teeth

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]; Traitement du signal et de l'image [eess.SP]; Traitement des images [eess.IV]; Vision par ordinateur et reconnaissance de formes [cs.CV]; Intelligence artificielle [cs.AI]

Jérôme Michetti, Adrian Basarab, Michel Tran, Franck Diemer, Denis Kouamé. Cone-Beam Computed Tomography contrast validation of an artificial periodontal phantom for use in endodontics. 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2015), Aug 2015, Milano, Italy. pp. 7905-7908. ⟨hal-01363373⟩