Voxel-based registration of simulated and real patient CBCT data for accurate dental implant pose estimation

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

doi:10.1117/12.2082806

20 March 2015 Voxel-based registration of simulated and real patient CBCT data for accurate dental implant pose estimation

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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Proceedings Volume 9414, Medical Imaging 2015: Computer-Aided Diagnosis; 94143H (2015) https://doi.org/10.1117/12.2082806
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

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.

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António H. J. Moreira, Sandro Queirós, Pedro Morais, Nuno F. Rodrigues, André Ricardo Correia, Valter Fernandes, A. C. M. Pinho, Jaime C. Fonseca, and João L. Vilaça "Voxel-based registration of simulated and real patient CBCT data for accurate dental implant pose estimation", Proc. SPIE 9414, Medical Imaging 2015: Computer-Aided Diagnosis, 94143H (20 March 2015); https://doi.org/10.1117/12.2082806

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KEYWORDS

Data modeling

3D modeling

In vitro testing

Computer simulations

Image resolution

Modeling

Rigid registration

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