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小视野锥形束 CT 扫描中外置物产生的金属伪影分布。

Distribution of metal artifacts arising from the exomass in small field-of-view cone beam computed tomography scans.

机构信息

Division of Oral Radiology, Department of Oral Diagnosis, Piracicaba Dental School, University of Campinas, Piracicaba (São Paulo), Brazil.

Université de Paris, Orofacial Pathologies, Imaging and Biotherapies EA2496 Lab, Montrouge, France; Dental Medicine Department, AP-HP, Bretonneau Hospital, Paris, France.

出版信息

Oral Surg Oral Med Oral Pathol Oral Radiol. 2020 Jul;130(1):116-125. doi: 10.1016/j.oooo.2020.01.002. Epub 2020 Feb 11.

Abstract

OBJECTIVES

To evaluate the distribution of metal artifacts from the exomass in small field-of-view (FOV) cone beam computed tomography (CBCT) scans.

STUDY DESIGN

An image phantom was scanned by using 3 CBCT units. Metal objects were positioned in the exomass, and additional CBCT scans were obtained. Mean gray values were obtained from 16 homogeneous areas and the standard deviation was calculated to quantify gray level inhomogeneity according to distinct zones of the FOV: total area and outer, inner, right, left, and mid-zones. The discrepancy between each zone and the total area was calculated to compare different CBCT units. Mean gray, gray level inhomogeneity, and discrepancy values were separately assessed by using analysis of variance (ANOVA) and Tukey's test (α = 0.05).

RESULTS

Overall, the mean gray values were significantly lower in the inner zone, and the gray level inhomogeneity values were significantly higher in the inner and mid-zones irrespective of the presence of metal objects in the exomass. The 3 CBCT units presented significantly different discrepancy values in most conditions.

CONCLUSIONS

The distribution of metal artifacts from the exomass follows the inherent gray value dispersion of CBCT images, with greater inhomogeneity in the inner zone of the FOV. This is exacerbated when metal objects are in the exomass.

摘要

目的

评估小视野(FOV)锥形束计算机断层扫描(CBCT)扫描中外围质量的金属伪影分布。

研究设计

使用 3 台 CBCT 对图像体模进行扫描。将金属物体置于外围质量中,并获取额外的 CBCT 扫描。从 16 个均匀区域获得平均灰度值,并计算标准差,以根据 FOV 的不同区域(总区域和外、内、右、左和中区域)量化灰度不均匀性。计算每个区域与总区域之间的差异,以比较不同的 CBCT 单元。使用方差分析(ANOVA)和 Tukey 检验(α=0.05)分别评估平均灰度值、灰度不均匀性和差异值。

结果

总体而言,无论外围质量中是否存在金属物体,内区的平均灰度值均显著较低,内区和中区的灰度不均匀性值显著较高。在大多数情况下,3 台 CBCT 单元的差异值存在显著差异。

结论

来自外围质量的金属伪影的分布遵循 CBCT 图像固有的灰度值分布,FOV 的内区不均匀性更大。当外围质量中有金属物体时,这种情况会加剧。

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