Literature DB >> 24767699

Integration accuracy of laser-scanned dental models into maxillofacial cone beam computed tomography images of different voxel sizes with different segmentation threshold settings.

Niansong Ye1, Hu Long1, Junjie Xue1, Sheng Wang1, Xin Yang1, Wenli Lai2.   

Abstract

OBJECTIVE: The aims were to examine the influence of cone beam computed tomography (CBCT)-scanned voxels and segmentation threshold settings on the accuracy of surface-based registration. STUDY
DESIGN: The samples were obtained from 10 adults. Each laser-scanned model was registered into a CBCT model by use of the iterative closest point algorithm. We calculated the shell-to-shell deviations between the 2 models and evaluated the results with color-mapping methods. The centroid coordinates were used to calculate the positional differences. Thresholds were expressed in relative Hounsfield units (RHU).
RESULTS: There was a statistically significant difference in shell-to-shell deviations between the 0.20-mm-voxel group and the 0.40-mm-voxel group (P < .001). There was a statistically significant difference in anteroposterior and superoinferior directions between the 200- and 700-RHU threshold models in 2 groups (P < .05).
CONCLUSIONS: The results indicated that the accuracy of the integration of laser-scanned dental models into CBCT images is higher with a high-RHU threshold setting in 0.20- and 0.40-mm voxel sizes.
Copyright © 2014 Elsevier Inc. All rights reserved.

Mesh:

Year:  2014        PMID: 24767699     DOI: 10.1016/j.oooo.2014.02.022

Source DB:  PubMed          Journal:  Oral Surg Oral Med Oral Pathol Oral Radiol


  9 in total

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7.  In-vitro assessment of the accuracy and reliability of mandibular dental model superimposition based on voxel-based cone-beam computed tomography registration.

Authors:  Gaofeng Han; Jing Li; Shuo Wang; Yan Liu; Xuedong Wang; Yanheng Zhou
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9.  Accuracy of deep learning-based integrated tooth models by merging intraoral scans and CBCT scans for 3D evaluation of root position during orthodontic treatment.

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  9 in total

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