Evaluation of 3-dimensional superimposition techniques on various skeletal structures of the head using surface models.

Evaluation of 3-dimensional superimposition techniques on various skeletal structures of the head using surface models.
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DOI:
10.1371/journal.pone.0118810
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发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
Ludwig B
Ludwig B
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Gkantidis N;Schauseil M;Pazera P;Zorkun B;Katsaros C;Ludwig B

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为了测试各种3D叠加技术对射线数据的适用性、准确性、精确度和重复性,将其转换为三角化表面数据。对5种叠加技术(3P:三点配准;AC:前颅底;AC+F:前颅底+枕骨大孔;BZ:两个颧弓;1Z:一个颧弓)进行测试。这些数据来自接受上颌快速扩弓治疗的非生长正畸患者。所有数据集由三个独立的算子叠加,一个月后他们重复整个过程。准确性由位于前颅底和枕大孔的三个形态稳定的解剖区域上的重叠数据集之间的距离(D)来评估。使用四个特定地标的模型之间的距离来评估精确度和重复性。采用非参数多变量模型和Bland-Altman差值图进行分析。不同操作者或不同时间点在每种叠加技术的准确性上没有差异(p>0.05)。AC+F技术精确度最高(D<0.17 mm),其次是AC和BZ叠加技术,精确度水平相近(D<0.5 mm)。3P和1Z是最不准确的叠加(0.79D<1.76 mm,p<0.005)。尽管不同操作者或不同时间点在每种重叠技术的精确度上没有差异(p>0.05),但所检测到的结构变化在不同技术之间存在显著差异(p<0.05)。Bland-Altman差值图显示,BZ叠加与AC相似,但其随机误差略高。使用从体素数据创建的表面模型叠加3D数据集可以提供准确、精确和可重现的结果,还提供了高效率和增强的后处理能力。在目前的研究人群中,BZ叠加与AC相当,另外一个优点是适用于视野较小的扫描。
To test the applicability, accuracy, precision, and reproducibility of various 3D superimposition techniques for radiographic data, transformed to triangulated surface data. Five superimposition techniques (3P: three-point registration; AC: anterior cranial base; AC + F: anterior cranial base + foramen magnum; BZ: both zygomatic arches; 1Z: one zygomatic arch) were tested using eight pairs of pre-existing CT data (pre- and post-treatment). These were obtained from non-growing orthodontic patients treated with rapid maxillary expansion. All datasets were superimposed by three operators independently, who repeated the whole procedure one month later. Accuracy was assessed by the distance (D) between superimposed datasets on three form-stable anatomical areas, located on the anterior cranial base and the foramen magnum. Precision and reproducibility were assessed using the distances between models at four specific landmarks. Non parametric multivariate models and Bland-Altman difference plots were used for analyses. There was no difference among operators or between time points on the accuracy of each superimposition technique (p>0.05). The AC + F technique was the most accurate (D<0.17 mm), as expected, followed by AC and BZ superimpositions that presented similar level of accuracy (D<0.5 mm). 3P and 1Z were the least accurate superimpositions (0.79<D<1.76 mm, p<0.005). Although there was no difference among operators or between time points on the precision of each superimposition technique (p>0.05), the detected structural changes differed significantly between different techniques (p<0.05). Bland-Altman difference plots showed that BZ superimposition was comparable to AC, though it presented slightly higher random error. Superimposition of 3D datasets using surface models created from voxel data can provide accurate, precise, and reproducible results, offering also high efficiency and increased post-processing capabilities. In the present study population, the BZ superimposition was comparable to AC, with the added advantage of being applicable to scans with a smaller field of view.
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