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Proceedings Paper

Voxel-based registration of simulated and real patient CBCT data for accurate dental implant pose estimation
Author(s): António H. J. Moreira; Sandro Queirós; Pedro Morais; Nuno F. Rodrigues; André Ricardo Correia; Valter Fernandes; A. C. M. Pinho; Jaime C. Fonseca; João L. Vilaça
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Paper Abstract

The success of dental implant-supported prosthesis is directly linked to the accuracy obtained during implant’s pose estimation (position and orientation). Although traditional impression techniques and recent digital acquisition methods are acceptably accurate, a simultaneously fast, accurate and operator-independent methodology is still lacking. Hereto, an image-based framework is proposed to estimate the patient-specific implant’s pose using cone-beam computed tomography (CBCT) and prior knowledge of implanted model. The pose estimation is accomplished in a threestep approach: (1) a region-of-interest is extracted from the CBCT data using 2 operator-defined points at the implant’s main axis; (2) a simulated CBCT volume of the known implanted model is generated through Feldkamp-Davis-Kress reconstruction and coarsely aligned to the defined axis; and (3) a voxel-based rigid registration is performed to optimally align both patient and simulated CBCT data, extracting the implant’s pose from the optimal transformation. Three experiments were performed to evaluate the framework: (1) an in silico study using 48 implants distributed through 12 tridimensional synthetic mandibular models; (2) an in vitro study using an artificial mandible with 2 dental implants acquired with an i-CAT system; and (3) two clinical case studies. The results shown positional errors of 67±34μm and 108μm, and angular misfits of 0.15±0.08° and 1.4°, for experiment 1 and 2, respectively. Moreover, in experiment 3, visual assessment of clinical data results shown a coherent alignment of the reference implant. Overall, a novel image-based framework for implants’ pose estimation from CBCT data was proposed, showing accurate results in agreement with dental prosthesis modelling requirements.

Paper Details

Date Published: 20 March 2015
PDF: 6 pages
Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94143H (20 March 2015); doi: 10.1117/12.2082806
Show Author Affiliations
António H. J. Moreira, ICVS/3B’s, PT Government Associate Lab. (Portugal)
Univ. do Minho (Portugal)
DIGARC, Polytechnic Institute of Cávado and Ave (Portugal)
Sandro Queirós, ICVS/3B’s, PT Government Associate Lab. (Portugal)
Univ. do Muno (Portugal)
Pedro Morais, ICVS/3B’s, PT Government Associate Lab. (Portugal)
Nuno F. Rodrigues, ICVS/3B’s, PT Government Associate Lab.. (Portugal)
Univ. of Minho (Portugal)
DIGARC, Polytechnic Institute of Cávado and Ave, (Portugal)
André Ricardo Correia, Univ. do Porto (Portugal)
Valter Fernandes, ICVS/3B’s, PT Government Associate Lab. (Portugal)
A. C. M. Pinho, Univ. do Minho (Portugal)
Jaime C. Fonseca, Univ. do Minho (Portugal)
João L. Vilaça, ICVS/3B’s - PT Government Associate Lab. (Portugal)
DIGARC, Instituto Politécnico do Cávado e do Ave (Portugal)


Published in SPIE Proceedings Vol. 9414:
Medical Imaging 2015: Computer-Aided Diagnosis
Lubomir M. Hadjiiski; Georgia D. Tourassi, Editor(s)

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