J Adv Prosthodont.  2020 Jun;12(3):107-113. 10.4047/jap.2020.12.3.107.

The effect of the improperly scanned scan body images on the accuracy of virtual implant positioning in computer-aided design software

• Park SW
• Choi YD
• Lee DH

• KMID: 2504118
• DOI: http://doi.org/10.4047/jap.2020.12.3.107

Abstract

PURPOSE
. The aim of this study was to examine the importance of the defect-free scanning of a scan body by assessing the accuracy of virtual implant positioning in computer-aided design (CAD) software when the scan body image is improperly scanned.
MATERIALS AND METHODS
. A scan body was digitized in a dentiform model using an intraoral scanner, and scanned images with differing levels of image deficiency were generated: 5%, 10%, and 15% deficiency in the flat or rounded area. Using a best-fit image matching algorithm on each of the deficient scan body images, corresponding virtual implants were created. The accuracy of the implant position was evaluated by comparing the linear and angular discrepancies between the actual and virtual positions of the implant. Kruskal-Wallis tests and Mann-Whitney U tests with Bonferroni correction were used to determine the statistical differences among the seven scanned image deficiency groups (α=.05).
RESULTS
. In general, the linear and angular discrepancies of the implant position in the software increased as the deficiency of the scan body images increased. A 15% scan body image deficiency generated larger discrepancies than deficiency of 5% and 10%. The difference of scan defect position, flat or rounded area, did not affect the accuracy of virtual implant orientation at 5% and 10% deficiency level, but did affect the accuracy at 15% deficiency level.
CONCLUSION
. Deficiencies in the scanned images of a scan body can decrease the accuracy of the implant positioning in CAD software when the defect is large, thus leading to the incorrect fabrication of implant prostheses.

Keyword

Scan body; Implant; Image deficiency; Accuracy; Image registration