Finite element simulation of fracture in a restored premolar tooth using high aspect ratio elements

Ramezani, Maryam; Casas, Estevam Barbosa de Las; Mattos, Claudia Machado de Almeida; Manzoli, Osvaldo L.; Rodrigues, Eduardo A.

doi:10.1590/2446-4740.05817

Cited by 4 publications

(4 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…RF modelling can possibly be improved by moving toward finite element-based modelling. RF initiation and propagation can then be simulated for specific situations, for example, simulations could be performed on a tooth model with RCT under different force loads, 60 or on a healthy tooth model to simulate fracture formation due to trauma. The potential of finite element methods for RF formation can be investigated in future work.Additionally, when studying RFs, secondary bone destruction and periodontal ligament widening should also be considered.…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a 3D anthropomorphic phantom for dental CBCT imaging research

Merken,

Monnens,

Marshall

et al. 2023

Medical Physics

View full text Add to dashboard Cite

BackgroundOptimization of dental cone beam computed tomography (CBCT) imaging is still in a preliminary stage and should be addressed using task‐based methods. Dedicated models containing relevant clinical tasks for image quality studies have yet to be developed.PurposeTo present a methodology to develop and validate a virtual adult anthropomorphic voxel phantom for use in task‐based image quality optimization studies in dental CBCT imaging research, focusing on root fracture (RF) detection tasks in the presence of metal artefacts.MethodsThe phantom was developed from a CBCT scan with an isotropic voxel size of 0.2 mm, from which the main dental structures, mandible and maxilla were segmented. The missing large anatomical structures, including the spine, skull and remaining soft tissues, were segmented from a lower resolution full skull scan. Anatomical abnormalities were absent in the areas of interest. Fine detailed dental structures, that could not be segmented due to the limited resolution and noise in the clinical data, were modelled using a‐priori anatomical knowledge. Model resolution of the teeth was therefore increased to 0.05 mm. Models of RFs as well as dental restorations to create the artefacts, were developed, and could be inserted in the phantom in any desired configuration. Simulated CBCT images of the models were generated using a newly developed multi‐resolution simulation framework that incorporated the geometry, beam quality, noise and spatial resolution characteristics of a real dental CBCT scanner. Ray‐tracing and Monte Carlo techniques were used to create the projection images, which were reconstructed using the classical FDK algorithm. Validation of the models was assessed by measurements of different tooth lengths, the pulp volume and the mandible, and comparison with reference values. Additionally, the simulated images were used in a reader study in which two oral radiologists had to score the realism level of the model's normal anatomy, as well as the modelled RFs and restorations.ResultsA model of an adult head, as well as models of RFs and different types of dental restorations were created. Anatomical measurements were consistent with ranges reported in literature. For the tooth length measurements, the deviations from the mean reference values were less than 20%. In 77% of all the measurements, the deviations were within 10.1%. The pulp volumes, and mandible measurements were within one standard deviation of the reference values. Regarding the normal anatomy, both readers considered the realism level of the dental structures to be good. Background structures received a lower realism score due to the lack of detailed enough trabecular bone structure, which was expected but not the focus of this study. All modelled RFs were scored at least adequate by at least one of the readers, both in appearance and position. The realism level of the modelled restorations was considered to be good.ConclusionsA methodology was proposed to develop and validate an anthropomorphic voxel phantom for image quality optimization studies in dental CBCT imaging, with a main focus on RF detection tasks. The methodology can be extended further to create more models representative of the clinical population.

show abstract

Section: Discussionmentioning

confidence: 99%

Development and validation of a 3D anthropomorphic phantom for dental CBCT imaging research

Merken,

Monnens,

Marshall

et al. 2023

Medical Physics

View full text Add to dashboard Cite

show abstract

“…The modulus of elasticity and Poisson's ratio are 84.1 GPa and 0.33, respectively 16 . The maximum biting force and loading of 453 N were used; see Litonjua et al 17 The first part is building the FE initial mesh using CASCA 18 ; see Figure 1.…”

Section: Linear Elastic Fracture Simulationmentioning

confidence: 99%

“…The distributed constant load was used on the crown of the teeth. The maximum loading magnitude due to the biting force is set up to 453 N 16,17 . The automatic crack propagation is carried out.…”

Section: Linear Elastic Fracture Simulationmentioning

confidence: 99%

Crack simulation in human teeth

Al-Mukhtar

Könke

2020

Mat Design & Process Comms

View full text Add to dashboard Cite

Early observations of cracks protect the teeth. The crack in teeth initiates due to the flaws, defect, or inappropriate fillings design. The brittleness allows the crack to extend from any notches over the enamel due to the lower plasticity. Therefore, in this issue, linear elastic fracture mechanics (LEFM) assumptions will be used instead of the elastic–plastic fracture mechanics (EPFM). Traditionally, the vertical crack in the teeth is predominated. The load distributions over the crown and the cyclic loading will propagate the crack. There are limited works trying to simulate the crack in the teeth. In this work, the crack path (CP) and the fracture behavior of the tooth have been simulated. It was shown that LEFM is sufficient for such simulation.

show abstract

“…Furthermore, the porosity on the surface of the micro-composite is more than nanocomposite which attributed to the detachment of quartz. This is different for LNFs samples in which small filler particles (<1 µm in size) are distributed within the matrix and stick together properly by the polymeric resin.Ramezani et al investigate fracture of a restored tooth with finite element simulation and show pre-existing cracks is the main cause of failure in dental failures(Ramezani, Las Casas, Mattos, Manzoli, & Rodrigues, 2018) and needs further investigation with finite element simulations as studied in other fields(Khalkhali, Afroosheh, Seyedi, Professor, & Student, 2014;Seyedi, Dolzyk, Jung, & Wekezer, 2019).…”

mentioning

confidence: 99%

Effect of nanoparticles on surface characteristics of dental nanocomposite

et al. 2020

View full text Add to dashboard Cite

Light-curable dental composites are, nowadays, the most frequently used restoratives as a replacement of lost hard dental tissues (Asmussen & Peutzfeldt, 1998). This is due to noticeable advantages of polymeric composites over amalgams, such as biocompatibility, handling, inexpensive and teeth colour, that are making them more appealing and widely used dental materials. A dental resin-composite is made of an organic matrix and filler system, in which the resin part consists of multifunctional methacrylate, a dimethacrylate diluent and a photo-initiating system, and dispersed fillers that can be modified to get improved and designed mechanical properties and wear resistance (Amirouche-Korichi, Mouzali, & Watts, 2009; Fugolin & Pfeifer, 2017). Based on dental composition, shrinkage of the restorative, residual stress and gap formation mainly relate to the organic matrix; however, mechanical and tribological properties are considerably depend on filler composition, content and shape (Feng, Suh, & Shortall, 2010; Lawson & Burgess, 2015). Lohbauer et al. investigated the strength and fatigue performance of three types of dental restoratives as flowable, aesthetic hybrid and nanofilled hybrid composites validating highly dependence of elastic modulus and fatigue life on filler content, specifically for flowable resins as compared with others (Lohbauer, Frankenberger, Krämer, & Petschelt, 2006). Filler shape influence on elastic modulus, fracture toughness and bending strength was investigated by Kim et al. showing all properties increased with elastic modulus having a higher rate based on the content of the spherical filler (Kim, Park, Imai, & Kishi, 1994). Similar results showed that increasing fillers improve mechanical properties like wear resistance, fatigue resistance and flexural strength that are essential for the long durability of restorative materials (Htang, Ohsawa, & Matsumoto, 1995). Increasing the wear resistance of restorative resins is an important parameter, which increases their lifespan. Occlusal interactions are the main cause of wear, and material loss in dental restoratives, which if not controlled, could impair masticatory function, and impose possible decline of systemic health (Miura et al., 2000; Watts,

show abstract

Finite element simulation of fracture in a restored premolar tooth using high aspect ratio elements

Cited by 4 publications

References 47 publications

Development and validation of a 3D anthropomorphic phantom for dental CBCT imaging research

Development and validation of a 3D anthropomorphic phantom for dental CBCT imaging research

Crack simulation in human teeth

Effect of nanoparticles on surface characteristics of dental nanocomposite

Contact Info

Product

Resources

About