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锥形束计算机断层扫描灰度值在牙槽骨线性测量中的应用。

The usefulness of cone-beam computed tomography gray values for alveolar bone linear measurements.

出版信息

Angle Orthod. 2018 Mar;88(2):227-232. doi: 10.2319/060617-379.1. Epub 2018 Jan 16.

Abstract

OBJECTIVES

To test a proof-of-concept that the accuracy and reliability of alveolar bone height measurements from orthodontic grade (large field-of-view [FOV], large voxel-size) cone-beam computed tomography (CBCT) images may be improved by using pixel gray values.

MATERIALS AND METHODS

Twenty fresh cadaver pig heads underwent CBCT scans (17 × 23 cm FOV, 0.4-mm voxel size). Buccal alveolar bone heights of maxillary first molars were measured using the conventional vision-based (VB) and the proposed gray value-assisted (GVA) methods. The GVA methods entailed localization of landmarks through observation of gray value pattern changes across tissue boundaries followed by mathematical calculation of distances between landmark pixels. Interrater reliability and accuracy of CBCT measurements made by all methods were statistically analyzed by comparing with physical measurements (gold standards).

RESULTS

The interrater reliability of CBCT measurements made by GVA methods was comparable to physical measurements but higher than those made by the VB method. The GVA (bend-down pattern) method yielded average measurements similar to physical measurements, while those obtained by the VB and the GVA (straight pattern) methods were significantly larger (repeated measures analysis of variance, P < .001). The GVA (bend-down pattern) method also produced significantly more measurements within one voxel size of physical measurements than did the VB and GVA (straight pattern) methods (Chi-square tests, P < .017).

CONCLUSIONS

These data confirm a concept that local gray value change patterns may be used to improve the accuracy and reliability of alveolar bone height measurement from large FOV and large voxel-size CBCT images.

摘要

目的

验证一个概念,即通过使用像素灰度值,可以提高正畸级(大视野[FOV]、大体素尺寸)锥形束 CT(CBCT)图像中牙槽骨高度测量的准确性和可靠性。

材料和方法

20 个新鲜的猪头颅标本进行了 CBCT 扫描(17×23cm FOV,0.4mm 体素大小)。使用传统的基于视觉(VB)和提出的灰度值辅助(GVA)方法测量上颌第一磨牙颊侧牙槽骨高度。GVA 方法通过观察组织边界处灰度值模式的变化来定位标志点,然后通过计算标志点像素之间的距离进行数学计算。通过与物理测量(金标准)进行比较,对所有方法进行的 CBCT 测量的组内可靠性和准确性进行了统计学分析。

结果

GVA 方法的 CBCT 测量的组内可靠性与物理测量相当,但高于 VB 方法。GVA(下弯模式)方法的平均测量值与物理测量值相似,而 VB 和 GVA(直线模式)方法的测量值明显更大(重复测量方差分析,P<0.001)。GVA(下弯模式)方法还产生了比 VB 和 GVA(直线模式)方法更多的测量值,这些测量值与物理测量值相差一个体素大小(卡方检验,P<0.017)。

结论

这些数据证实了一个概念,即局部灰度值变化模式可用于提高大 FOV 和大体素尺寸 CBCT 图像中牙槽骨高度测量的准确性和可靠性。

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