Journal article
Accuracy of the Point-Based Image Registration Method in Integrating Radiographic and Optical Scan Images: A Pilot Study
Journal of Korean dental science, Vol.13(1), pp.28-34
2020
DOI: 10.5856/JKDS.2020.13.1.28
Abstract
Purpose: The purpose of this study was to investigate the influence of different implant computer software on the accuracy of image registration between radiographic and optical scan data. Materials and Methods: Cone-beam computed tomography and optical scan data of a partially edentulous jaw were collected and transferred to three different computer softwares: Blue Sky Plan (Blue Sky Bio), Implant Studio (3M Shape), and Geomagic DesignX (3D systems). In each software, the two image sets were aligned using a point-based automatic image registration algorithm. Image matching error was evaluated by measuring the linear discrepancies between the two images at the anterior and posterior area in the direction of the x-, y-, and z-axes. Kruskal-Wallis test and a post hoc Mann-Whitney U-test with Bonferroni correction were used for statistical analyses. The significance level was set at 0.05. Result: Overall discrepancy values ranged from 0.08 to 0.30 ㎛. The image registration accuracy among the software was significantly different in the x- and z-axes (P=0.009 and <0.001, respectively), but not different in the y-axis (P=0.064). Conclusion: The image registration accuracy performed by a point-based automatic image matching could be different depending on the computer software used.
Details
- Title: Subtitle
- Accuracy of the Point-Based Image Registration Method in Integrating Radiographic and Optical Scan Images: A Pilot Study
- Creators
- Hai Yen MaiDu-Hyeong Lee
- Resource Type
- Journal article
- Publication Details
- Journal of Korean dental science, Vol.13(1), pp.28-34
- DOI
- 10.5856/JKDS.2020.13.1.28
- ISSN
- 2005-4742
- Alternative title
- Accuracy of the Point-Based Image Registration Method in Integrating Radiographic and Optical Scan Images: A Pilot Study
- Language
- Korean
- Date published
- 2020
- Academic Unit
- Prosthodontics
- Record Identifier
- 9984920477902771
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