Journal article
Impact of Matching Point Selections on Image Registration Accuracy between Optical Scan and Computed Tomography
BioMed research international, Vol.2020(2020), pp.3285431-7
2020
DOI: 10.1155/2020/3285431
PMCID: PMC7426779
PMID: 32802841
Abstract
The point-based surface registration method involves the manual selection process of paired matching points on the data of computed tomography and optical scan. The purpose of this study was to investigate the impact of selection error and distribution of fiducial points on the accuracy of image matching between 3-dimensional (3D) images in dental planning software programs. Computed tomography and optical scan images of a partial edentulous dental arch were obtained. Image registration of the optical scan image to computed tomography was performed using the point-based surface registration method in planning software programs under different conditions of 3 fiducial points: point selection error (0, 1, or 2 mm), point distribution (unilateral, bilateral), and planning software (Implant Studio, Blue Bio Plan) (
= 5 per condition,
= 60). The accuracy of image registration at each condition was evaluated by measuring linear discrepancies between matched images at
,
, and
axes. Kruskal-Wallis test, Mann-Whitney
test with Bonferroni correction, and 3-way analysis of variance were used to statistically analyse the measurement data (
= 0.05). No statistically significant difference was exhibited between the 0 and 1 mm point mismatch conditions in either unilateral or bilateral point distributions. The discrepancy values in the 2 mm mismatch condition were significantly different from the other mismatch conditions, especially in the unilateral point distribution (
< 0.05). Strong interactions among point selection error, distribution, and software programs on the image registration were found (
< 0.001). Minor matching point selection error did not influence the accuracy of point-based automatic image registration in the software programs. When the fiducial points are distributed unilaterally with large point selection error, the image matching accuracy could be decreased.
Details
- Title: Subtitle
- Impact of Matching Point Selections on Image Registration Accuracy between Optical Scan and Computed Tomography
- Creators
- Hai Yen Mai - Kyungpook National UniversityDu-Hyeong Lee - Kyungpook National University
- Resource Type
- Journal article
- Publication Details
- BioMed research international, Vol.2020(2020), pp.3285431-7
- DOI
- 10.1155/2020/3285431
- PMID
- 32802841
- PMCID
- PMC7426779
- NLM abbreviation
- Biomed Res Int
- ISSN
- 2314-6133
- eISSN
- 2314-6141
- Language
- English
- Date published
- 2020
- Academic Unit
- Prosthodontics
- Record Identifier
- 9984914149902771
Metrics
2 Record Views