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|Title:||Voxel-based registration of simulated and real patient CBCT data for accurate dental implant pose estimation|
|Author(s):||Moreira, António Herculano Jesus|
Queirós, Sandro Filipe Monteiro
Morais, Pedro André Gonçalves
Rodrigues, Nuno F.
Correia, André Ricardo
Pinho, A. C. Marques
Fonseca, Jaime C.
Vilaça, João L.
Cone-beam CT simulation
Voxel-based rigid registration
|Journal:||Proceedings of SPIE|
|Abstract(s):||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.|
|Description:||"Progress in Biomedical Optics and Imaging, vol. 16, nr. 42"|
|Appears in Collections:||CT2M - Publicações em atas de encontros científicos / Papers in conference proceedings|
DEI - Artigos em atas de congressos internacionais