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[选择性激光烧结(SLS)在颅面三维建模中的术前准确性:与患者CT数据的比较]

[Preoperative accuracy of selective laser sintering (SLS) in craniofacial 3D modeling: comparison with patient CT data].

作者信息

Kaim A H, Kirsch E C, Alder P, Bucher P, Hammer B

机构信息

Institut für Radiologie, Hirslanden-Klinik.

出版信息

Rofo. 2009 Jul;181(7):644-51. doi: 10.1055/s-0028-1109204. Epub 2009 Feb 27.

DOI:10.1055/s-0028-1109204
PMID:19253203
Abstract

PURPOSE

To evaluate the accuracy of craniofacial 3D models produced in the standardized selective laser sintering (SLS) technique from multislice computed tomography (MSCT) data sets in comparison with patient data and to investigate the effect of potential causes of inaccuracies.

MATERIALS AND METHODS

19 models were considered and examined by MSCT. The patient CT data used for 3D modeling was analyzed and compared to the 3D model data. 15 anatomical landmarks were defined and 20 distances were digitally measured. The digital measurements of both CT data sets were compared to manually measured distances of the SLS model.

RESULTS

There was not a statistically significant difference (p < 0.05) between the measurements of the distances concerning all three groups (patient CT data, model CT data, manual measurement of the model). The mean values of the differences were between 0.5455 and -0.3214 mm.

CONCLUSION

We found a high accuracy of SLS 3D models, which is due to a high precision in the modeling process and to the small voxel size of patient CT data achieved by MSCT. Anatomical landmarks in patient and model CT data sets and on the 3D model were able to be accurately reproduced, which is important for preoperative planning.

摘要

目的

评估通过标准化选择性激光烧结(SLS)技术从多层计算机断层扫描(MSCT)数据集生成的颅面三维模型与患者数据相比的准确性,并研究不准确的潜在原因的影响。

材料与方法

考虑19个模型并通过MSCT进行检查。分析用于三维建模的患者CT数据,并将其与三维模型数据进行比较。定义了15个解剖标志点,并数字化测量了20个距离。将两个CT数据集的数字化测量结果与SLS模型的手动测量距离进行比较。

结果

关于所有三组(患者CT数据、模型CT数据、模型的手动测量)的距离测量之间没有统计学上的显著差异(p < 0.05)。差异的平均值在0.5455和 -0.3214毫米之间。

结论

我们发现SLS三维模型具有很高的准确性,这归因于建模过程中的高精度以及MSCT实现的患者CT数据的小体素尺寸。患者和模型CT数据集中以及三维模型上的解剖标志点能够被准确再现,这对术前规划很重要。

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