Evaluating free segmentation tools for CBCT-derived models: Cost-effective solutions

IF 2.4 3区 医学 Q2 DENTISTRY, ORAL SURGERY & MEDICINE
Noha M. Elkersh, Hams H. Abdelrahman, Mohamed G. Hassan
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引用次数: 0

Abstract

Objectives

This study evaluated the segmentation accuracy and reliability of free software packages and compared them with commercial alternatives.

Material and Methods

A total of 36 stone models were scanned using a desktop scanner and then imaged by cone beam computed tomography (CBCT). The CBCT volumes were segmented using 2 free software packages (3D Slicer and Blue Sky Plan) and 2 commercial software packages (Mimics and OnDemand3D). Stereolithography (STL) files generated by the desktop scanner were used as the control group (reference models). The accuracy of segmentation was evaluated by (1) comparing 6 linear measurements taken from each STL model generated by the 4 software packages with that obtained by the scanner, and (2) deviation analysis of each STL model generated by the 4 software packages with that obtained by the scanner. Absolute error and percentage error, repeated measures anova and Friedman test followed by post hoc analysis, intraclass correlation coefficient (ICC), and Pearson's r were used to evaluate the accuracy of the tested software packages.

Results

There was no statistically significant difference in all intra-arch measurements obtained using the four software packages. Measurements obtained using the free software packages and the scanner showed excellent positive correlation, ranging from 0.825 to 0.988, confirming equivalence with commercial software packages.

Conclusion

Within the settings of the current study, accurate and time-saving segmentations with high positive correlation could be performed using the tested free segmentation software packages (3D Slicer and Blue Sky Plan). Nevertheless, further evaluation is necessary to gage their accuracy using different CBCT modalities.

评估 CBCT 衍生模型的免费分割工具:具有成本效益的解决方案。
本研究评估了免费软件包的分割准确性和可靠性,并将其与商业软件进行了比较。材料和方法使用台式扫描仪扫描了总共 36 个结石模型,然后用锥束计算机断层扫描(CBCT)成像。使用两个免费软件包(3D Slicer 和 Blue Sky Plan)和两个商业软件包(Mimics 和 OnDemand3D)对 CBCT 图像进行分割。桌面扫描仪生成的立体光刻(STL)文件被用作对照组(参考模型)。评估分割准确性的方法是:(1) 将 4 个软件包生成的每个 STL 模型的 6 次线性测量结果与扫描仪获得的结果进行比较;(2) 对 4 个软件包生成的每个 STL 模型与扫描仪获得的结果进行偏差分析。使用绝对误差和百分比误差、重复测量 anova 和 Friedman 检验(然后进行事后分析)、类内相关系数 (ICC) 和 Pearson's r 来评估测试软件包的准确性。使用免费软件包和扫描仪获得的测量结果显示出极好的正相关性,范围在 0.825 到 0.988 之间,证实了与商业软件包的等效性。结论在当前研究的设置下,使用测试的免费分割软件包(3D Slicer 和 Blue Sky Plan)可以进行准确、省时且正相关性高的分割。尽管如此,仍有必要进一步评估它们在不同 CBCT 模式下的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Orthodontics & Craniofacial Research
Orthodontics & Craniofacial Research 医学-牙科与口腔外科
CiteScore
5.30
自引率
3.20%
发文量
65
审稿时长
>12 weeks
期刊介绍: Orthodontics & Craniofacial Research - Genes, Growth and Development is published to serve its readers as an international forum for the presentation and critical discussion of issues pertinent to the advancement of the specialty of orthodontics and the evidence-based knowledge of craniofacial growth and development. This forum is based on scientifically supported information, but also includes minority and conflicting opinions. The objective of the journal is to facilitate effective communication between the research community and practicing clinicians. Original papers of high scientific quality that report the findings of clinical trials, clinical epidemiology, and novel therapeutic or diagnostic approaches are appropriate submissions. Similarly, we welcome papers in genetics, developmental biology, syndromology, surgery, speech and hearing, and other biomedical disciplines related to clinical orthodontics and normal and abnormal craniofacial growth and development. In addition to original and basic research, the journal publishes concise reviews, case reports of substantial value, invited essays, letters, and announcements. The journal is published quarterly. The review of submitted papers will be coordinated by the editor and members of the editorial board. It is policy to review manuscripts within 3 to 4 weeks of receipt and to publish within 3 to 6 months of acceptance.
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