Comparison between different screening strategies to determine the statistical shape model of the pelvises for implant design
| Autor: | Shang-Chih Lin, Hou Sheng-Mou, Kao-Shang Shih, Che-Wei Liu, Chi-Pin Hsu, Lu-Lin Wang |
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| Rok vydání: | 2018 |
| Předmět: |
Normalization (statistics)
Adult Male Aspect ratio Surface Properties Population Health Informatics Prosthesis Design 030218 nuclear medicine & medical imaging Pelvis Root mean square 03 medical and health sciences 0302 clinical medicine Imaging Three-Dimensional Humans Computer Simulation education Mathematics Aged Orthodontics Bone morphology education.field_of_study Smoothness (probability theory) Models Statistical Implant design Iterative closest point Reproducibility of Results Prostheses and Implants Middle Aged Computer Science Applications Tomography X-Ray Computed 030217 neurology & neurosurgery Software Algorithms |
| Zdroj: | Computer methods and programs in biomedicine. 178 |
| ISSN: | 1872-7565 |
| Popis: | Background and objectives The statistical shape model (SSM) of numerous bones has been used to determine the anatomical representative of the population- or race-specific design for periarticular implants. Whether to include size- and profile-mismatched bones in the SSM calculation is debatable. Therefore, the objective of this study was to characterize the screening strategies for the mismatched bones to improve the SSM calculation. Methods The bone database used in this study consisted of 20 pelvises. A systematic four-staged SSM calculation was used to evaluate the accuracy of the predicted SSM shape among the four size- and profile-screening strategies. Additionally, the surface-smoothing effects on the SSM results were investigated. Two comparison indices were used in terms of profile difference and surface smoothness. Results Significant variations in size and profile existed for the collected bones. By normalizing the aspect ratio of all bones, exclusion of the size-mismatched bones reduced the maximum and root mean square (RMS) error values of the profile difference by 18.9% and 17.5%, respectively. After further excluding the profile-improper bones, normalization reduced the RMS profile difference by 24.1% compared with the non-normalized strategy. Exclusion of the size-improper bones for non-normalized strategy would have reduced the RMS profile difference by 15.4%. After smoothness, the RMS profile difference of SSM was only 6.1% higher than that of the non-smoothness SSM. Conclusions The four-stage calculation showed that the most favorable strategy was to normalize bones to the same aspect ratio and exclude improperly shaped bones. The model permitted inclusion of the original characteristics of the bones and preserved their shapes and excluded only significantly improper bones. After SSM calculation, the smoothed process provided satisfaction in quality with a statistically insignificant loss in bone morphology for population- or race-specific designs of implants. |
| Databáze: | OpenAIRE |
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