3D cephalometric analysis using Magnetic Resonance Imaging: validation of accuracy and reproducibility
The aim of this study was to validate geometric accuracy and in vivo reproducibility of landmark-based cephalometric measurements using high-resolution 3D Magnetic Resonance Imaging (MRI) at 3 Tesla. For accuracy validation, 96 angular and 96 linear measurements were taken on a phantom in 3 differen...
Gespeichert in:
| Hauptverfasser: | , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
29 August 2018
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| In: |
Scientific reports
Year: 2018, Jahrgang: 8 |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/s41598-018-31384-8 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: http://dx.doi.org/10.1038/s41598-018-31384-8 Verlag, kostenfrei, Volltext: https://www.nature.com/articles/s41598-018-31384-8 |
| Verfasserangaben: | Alexander Juerchott, Muhammad Abdullah Saleem, Tim Hilgenfeld, Christian Freudlsperger, Sebastian Zingler, Christopher J. Lux, Martin Bendszus & Sabine Heiland |
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| 520 | |a The aim of this study was to validate geometric accuracy and in vivo reproducibility of landmark-based cephalometric measurements using high-resolution 3D Magnetic Resonance Imaging (MRI) at 3 Tesla. For accuracy validation, 96 angular and 96 linear measurements were taken on a phantom in 3 different positions. In vivo MRI scans were performed on 3 volunteers in five head positions. For each in vivo scan, 27 landmarks were determined from which 19 angles and 26 distances were calculated. Statistical analysis was performed using Bland-Altman analysis, the two one-sided tests procedure and repeated measures one-way analysis of variance. In comparison to ground truth, all MRI-based phantom measurements showed statistical equivalence (p 0.05). Ranges between maximum and minimum in vivo values were consistently smaller than 2° and 2 mm, respectively (average ranges: 0.88°/0.87 mm). In conclusion, this study demonstrates that accurate and reproducible 3D cephalometric analysis can be performed without exposure to ionizing radiation using MRI. | ||
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