Software tools for the quantitative evaluation of dental treatment effects from µCT scans

R. Sinibaldi, A. Conti, R. Pecci, G. Plotino, Roberto Guidotti, N. Grande, M. G. Ortore, C. Becce, R. Bedini, S. D. Penna
{"title":"Software tools for the quantitative evaluation of dental treatment effects from µCT scans","authors":"R. Sinibaldi, A. Conti, R. Pecci, G. Plotino, Roberto Guidotti, N. Grande, M. G. Ortore, C. Becce, R. Bedini, S. D. Penna","doi":"10.5430/JBGC.V3N4P85","DOIUrl":null,"url":null,"abstract":"Background: The 3D images of dental specimens were obtained by means of micro-Computed Tomography (µCT) before and after therapeutic intervention. A suite of software tools has been developed to assess the efficacy of dental treatment as revealed by µCT scans. Endodontic root canal and restorative therapy were selected as model procedures to test and optimize the developed tools. Non destructive µCT imaging allows repeated scans of the same tooth and might provide quantitative information about specimen modifications over time. Preliminary literature has suggested that anatomical characterization and detailed evaluation of dental therapies would considerably benefit from the coupling between detailed 3D imaging and custom software. However, the main drawbacks reside in time consuming pipeline for scanner-time of the specimens and absence of efficient software for accurate data analysis and direct comparison of a set of 3D dental structures. Methods: The software we present here implements co-registration procedures together with an algorithm for the 3D quantitative characterization of teeth hollow spaces and interfaces. The software is targeted to the individualized analysis of the single specimen in an effort to help dentists to quantify the outcome of the surgical intervention performed on teeth. The approach aims to automatically highlight the differences between pre- and post-treatment structures for further anatomical and statistical analysis. Of note, the two different treatments analyzed exploit two different perspectives. As a matter of facts, endodontic therapy aims at the modification of the root canal structure (axe, volume and surface), whereas the restorative treatment focus is on the whole tooth structure. Results: The developed co-registration algorithm allows finding correct superposition in both data sets, despite the preand post-structure can be markedly different, especially after the application of dental adhesive composite in the restorative treatment. Tools for characterization of canal volume and surface are robust with respect to the presence of branches and allow the complete characterization of the endodontic treatments. Modification of the tooth structure after restorative treatments is highlighted after the co-registration procedure in automatic way and allows the user to quantify the volume of voids due to the shrinkage of the material at the interface and eventually the presence of internal cracks or other morphological modification of the tooth structure.","PeriodicalId":89580,"journal":{"name":"Journal of biomedical graphics and computing","volume":"3 1","pages":"85-100"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.5430/JBGC.V3N4P85","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of biomedical graphics and computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5430/JBGC.V3N4P85","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Background: The 3D images of dental specimens were obtained by means of micro-Computed Tomography (µCT) before and after therapeutic intervention. A suite of software tools has been developed to assess the efficacy of dental treatment as revealed by µCT scans. Endodontic root canal and restorative therapy were selected as model procedures to test and optimize the developed tools. Non destructive µCT imaging allows repeated scans of the same tooth and might provide quantitative information about specimen modifications over time. Preliminary literature has suggested that anatomical characterization and detailed evaluation of dental therapies would considerably benefit from the coupling between detailed 3D imaging and custom software. However, the main drawbacks reside in time consuming pipeline for scanner-time of the specimens and absence of efficient software for accurate data analysis and direct comparison of a set of 3D dental structures. Methods: The software we present here implements co-registration procedures together with an algorithm for the 3D quantitative characterization of teeth hollow spaces and interfaces. The software is targeted to the individualized analysis of the single specimen in an effort to help dentists to quantify the outcome of the surgical intervention performed on teeth. The approach aims to automatically highlight the differences between pre- and post-treatment structures for further anatomical and statistical analysis. Of note, the two different treatments analyzed exploit two different perspectives. As a matter of facts, endodontic therapy aims at the modification of the root canal structure (axe, volume and surface), whereas the restorative treatment focus is on the whole tooth structure. Results: The developed co-registration algorithm allows finding correct superposition in both data sets, despite the preand post-structure can be markedly different, especially after the application of dental adhesive composite in the restorative treatment. Tools for characterization of canal volume and surface are robust with respect to the presence of branches and allow the complete characterization of the endodontic treatments. Modification of the tooth structure after restorative treatments is highlighted after the co-registration procedure in automatic way and allows the user to quantify the volume of voids due to the shrinkage of the material at the interface and eventually the presence of internal cracks or other morphological modification of the tooth structure.
微CT扫描牙科治疗效果定量评估的软件工具
研究背景:采用显微计算机断层扫描(micro-Computed Tomography,µCT)对治疗干预前后的牙齿标本进行三维成像。已经开发了一套软件工具来评估微CT扫描显示的牙科治疗效果。选择根管治疗和修复治疗作为模型程序,对所开发的工具进行测试和优化。非破坏性微CT成像允许对同一颗牙齿进行重复扫描,并可能提供标本随时间变化的定量信息。初步文献表明,详细的3D成像和定制软件之间的耦合将大大有利于牙科治疗的解剖表征和详细评估。然而,主要的缺点是耗时的管道扫描时间的标本和缺乏有效的软件来准确的数据分析和一组三维牙齿结构的直接比较。方法:我们在这里展示的软件实现了共同配准程序以及用于牙齿中空空间和界面三维定量表征的算法。该软件旨在对单个标本进行个性化分析,以帮助牙医量化对牙齿进行手术干预的结果。该方法旨在自动突出处理前后结构之间的差异,以便进一步进行解剖和统计分析。值得注意的是,所分析的两种不同的处理方法利用了两种不同的视角。事实上,根管治疗的目的是改变根管结构(斧、体积和表面),而修复治疗的重点是整个牙齿结构。结果:开发的共配准算法允许在两个数据集中找到正确的叠加,尽管前后结构可能明显不同,特别是在修复治疗中应用牙胶粘剂复合材料后。表征根管体积和表面的工具相对于分支的存在是稳健的,并且允许对根管治疗进行完整的表征。修复治疗后牙齿结构的改变在共配准程序后以自动方式突出显示,并允许用户量化由于界面处材料收缩和最终存在内部裂纹或牙齿结构的其他形态改变而产生的空隙体积。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信