Microtomography and Its Application in Oral and Implant Research

Bedini, Rossella; Meleo, Deborah; Pecci, R.

doi:10.1007/978-94-007-4270-3_8

Cited by 1 publication

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“…The use of a tailored software in combination with tomographic techniques gives rise to a virtual laboratory [15,16] , able to investigate 3D structures, to characterize homogeneity and interfaces [17,18] , to predict permeability in porous media and hence accessibility of drugs and cells in different tissues [19] . It is becoming more and more common to evaluate physical properties via numerical simulation starting from the real 3D structure of the specimen revealed by µCT, to access micro-mechanic features and failure behavior of materials and composites under simulated stress conditions [20][21][22][23] .…”

Section: Introductionmentioning

confidence: 99%

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

Sinibaldi

Conti

Pecci

et al. 2013

JBGC

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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.www.sciedu.ca/jbgc Journal of Biomedical Graphics and Computing, 2013, Vol. 3, No. 4 ISSN 1925-4008 E-ISSN 1925 86 Conclusions: We demonstrate the effectiveness of customization of 3D data analysis tools to obtain specific characterization and quantitative information about different dental therapies.

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