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Impact of number of registration points on the positional accuracy of a prosthetic treatment plan incorporated into a cone beam computed tomography scan by surface scan registration: An in vitro study
Author(s) -
Jamjoom Faris Z.,
Yilmaz Burak,
Johnston William M.
Publication year - 2019
Publication title -
clinical oral implants research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.407
H-Index - 161
eISSN - 1600-0501
pISSN - 0905-7161
DOI - 10.1111/clr.13490
Subject(s) - cone beam computed tomography , standard deviation , scanner , computer science , absolute deviation , computed tomography , dicom , voxel , reproducibility , nuclear medicine , artificial intelligence , medicine , mathematics , radiology , statistics
Objectives To evaluate the accuracy of a prosthetic treatment plan incorporation into a cone beam computed tomography (CBCT) scan using point‐based registration with three registration points selected and to evaluate the impact of number of registration points on prosthetic plan accuracy. Material and Methods A CBCT scan of a completely dentate master model with removable teeth was exposed after removing the mandibular left first premolar, second premolar, and first molar. A digital scan of the master model with all teeth present was made by scanning a stone replica using a laboratory scanner. The digital model was registered onto the three‐dimensional (3D) volume rendering of the CBCT scan using implant planning software. The point‐based registration was repeated using three, four, five, six, seven, eight, nine, and 10 reference points. Metrology software was used to measure the 3D deviation of the registered models for each reference point group on standard tessellation language (STL) files obtained from the CBCT scans. An STL file of the master model with all teeth present obtained from another CBCT scan was used as reference. Results Using three registration points, the registered prosthetic plan had a mean absolute deviation of 17.63 µm from the reference. Increasing the number of registration points failed to demonstrate statistically significant effects on the deviation ( p > 0.05). Conclusions For this clinical scenario, three registration points provided adequate accuracy for prosthetic plan incorporation into CBCT scans. Increasing the number of registration points had no significant impact on the prosthetic plan accuracy in this study.