Comparison of automated post-processing techniques for measurement of Body Surface Area from 3D photonic scans
| Autor: | Chuang-Yuan Chiu, Samantha Fawkner, David L. Pease, Ross Sanders, Marcus Dunn |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
template model fitting
Computer science Biomedical Engineering Computational Mechanics 3d scanning 02 engineering and technology Poisson distribution 030218 nuclear medicine & medical imaging 03 medical and health sciences symbols.namesake 0302 clinical medicine 0202 electrical engineering electronic engineering information engineering poisson reconstruction Radiology Nuclear Medicine and imaging mesh processing Reliability (statistics) Body surface area business.industry body surface area Limits of agreement Regression analysis Pattern recognition 3D photonic scans Computer Science Applications symbols 020201 artificial intelligence & image processing Artificial intelligence Photonics business Surface reconstruction |
| Zdroj: | Chiu, C-Y, Pease, D L, Fawkner, S, Dunn, M & Sanders, R 2019, ' Comparison of automated post-processing techniques for measurement of Body Surface Area from 3D photonic scans ', Computer Methods in Biomechanics and Biomedical Engineering, vol. 7, no. 2, pp. 227-234 . https://doi.org/10.1080/21681163.2018.1492971 |
| ISSN: | 1025-5842 |
| Popis: | Body surface area (BSA) measurement is important in engineering and medicine fields to determine parameters for various applications. Three-dimensional scanning techniques may be used to acquire the BSA directly. Nevertheless, the raw data obtained from 3D scanning usually requires some manual post-processing which is time-consuming and requires technical expertise. Automated post-processing of 3D scans enables expedient BSA calculation with minimal technical expertise. The purpose of this research was to compare the accuracy and reliability of three different automated post-processing techniques including Stitched Puppet (SP), Poisson surface reconstruction (PSR), and screened Poisson surface reconstruction (SPSR) using manual post-processing as the criterion. Twenty-nine participants were scanned twice, and raw data were processed with the manual operation and automated techniques to acquire BSAs separately. The reliability of BSAs acquired from these approaches was represented by the relative technical error of measurements (TEM). Pearson’s regressions were applied to correct BSAs acquired from the automated techniques. The limits of agreement (LOA) were used to quantify the accuracy of BSAs acquired from the automated techniques and corrected by regression models. The reliability (relative TEM) of BSAs obtained from PSR, SPSR and SP were 0.32%, 0.30%, 0.82% respectively. After removing bias with the regression models, the LOA for PSR, SPSR and SP were (-0.0134 m2, 0.0135 m2), ±0.0131 m2, ±0.0573 m2 respectively. It is concluded that PSR and SPSR are good alternative approaches to manual post-processing for applications that need reliable and accurate measurements of BSAs with large populations. |
| Databáze: | OpenAIRE |
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