Influence of material surface on the scanning error of a powder-free 3D measuring system

Kurz, M.A.; Attin, Thomas; Mehl, Albert

doi:10.1007/s00784-015-1440-5

Cited by 86 publications

(87 citation statements)

References 24 publications

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“…21,22 Shiny, rough, undercut, sharp surfaces are known to scan difficult and the saliva is known to create reflective surfaces. 16,35 Additionally, the areas between implants in edentulous arches are large and homogeneous that is difficult to scan accurately. 31,32 Gimenez et al also reported that reference points might lack for correct image stitching in flat mucosal surfaces when combined with a larger interimplant distance.…”

Section: Resultsmentioning

confidence: 99%

“…The patients have various hard and soft tissue textures with different reflective surfaces, have variations along the dental arch and anatomic irregularities are absent in the edentulous area to be scanned . Shiny, rough, undercut, sharp surfaces are known to scan difficult and the saliva is known to create reflective surfaces . Additionally, the areas between implants in edentulous arches are large and homogeneous that is difficult to scan accurately.…”

Section: Discussionmentioning

confidence: 99%

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The effect of scanning the palate and scan body position on the accuracy of complete‐arch implant scans

Mizumoto

Alp

Özcan

et al. 2019

Clin Implant Dent Rel Res

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Background Whether stitching the palate during intraoral digital scans of implants would improve, scanning accuracy is unclear. Purpose Evaluate the effect of stitching the palate and the scan body position on the trueness (distance and angular deviation) and precision of digital scans in a completely edentulous situation. Materials and Methods An edentulous maxillary model with four parallel dental implant analogs was fabricated and intraoral scan bodies were attached. The entire surface was scanned using an industrial scanner to generate a master reference model digital scan (MRM‐DS). Digital scans of the master model were made using an intraoral scanner and the resulting scans were divided into two groups [stitched palate (S) and unstitched palate (U)]. All test scans were converted to STL files and superimposed over the MRM‐DS. Results For trueness, scan body position had a significant effect on distance (P < .001) and angular (P < .001) deviation values. In terms of precision, no significant difference was found in distance (P = .051) and angular deviations (P = .36) between stitched and unstitched techniques. Conclusions The accuracy and precision of digital scans of edentulous maxillary arch was similar independent of stitching or unstitching the palate. Position of the implant had a significant effect on trueness.

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Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

The effect of scanning the palate and scan body position on the accuracy of complete‐arch implant scans

Mizumoto

Alp

Özcan

et al. 2019

Clin Implant Dent Rel Res

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“…Contamination of saliva on the teeth and the presence of various kinds of brackets is one of the intraoral conditions that may have direct impact on the accuracy of the scanned image [16,17]. ere was a study on the effect of water on the surface of dental restorative materials [18]. Design of the study, however, was only about the effect of reflection of water film on the material margin imbedded in a single tooth.…”

Section: Introductionmentioning

confidence: 99%

Accuracy on Scanned Images of Full Arch Models with Orthodontic Brackets by Various Intraoral Scanners in the Presence of Artificial Saliva

Song

Kim

2020

BioMed Research International

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Aim. is study aims to evaluate the accuracy of scanned images of 4 clinically used intraoral scanners (CS3600, i500, Trios3, Omnicam) when scanning the surface of full arch models with various kinds of orthodontic brackets in the presence of artificial saliva. Materials and Methods. Four study models were prepared; bonded with ceramic, metal, and resin brackets, respectively, and without brackets. Reference images were taken by scanning the models with an industrial scanner. Study models were then applied with an artificial saliva and scanned 10 times, respectively, with the above 4 intraoral scanners. All images were converted to STL file format and analyzed with 3D analysis software. By superimposing with the reference images, mean maximum discrepancy values and mean discrepancy values were collected and compared. For statistical analysis, two-way ANOVA was used. Results. Omnicam (1.247 ± 0.255) showed higher mean maximum discrepancy values. CS3600 (0.758 ± 0.170), Trios3 (0.854 ± 0.166), and i500 (0.975 ± 0.172) performed relatively favourably. Resin (1.119 ± 0.255) and metal (1.086 ± 0.132) brackets showed higher mean maximum discrepancy values. Nonbracket (0.776 ± 0.250) and ceramic bracket (0.853 ± 0.269) models generally showed lower mean maximum discrepancy values in studied scanners. In mean discrepancy values, the difference between scanners was not statistically significant whereas among brackets, resin bracketed models (0.093 ± 0.142) showed the highest value. Conclusion. Intraoral scanners and brackets had significant influences on the scanned images with application of artificial saliva on the study models. It may be expected to have similar outcomes in an intraoral environment. Some data showed the discrepancy values up to about 1.5 mm that would require more caution in using intraoral scanners for production of detailed appliances and records.

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“…Direct digitization by means of digital intraoral impressions allows real‐time visualization, enables easy and selective rescanning by the use of a “cut and paste” tool, enables clinicians to check for a possible undercut that may hinder the fabrication of definitive restorations, eliminates the storage space needed for dental casts, and reduces patient discomfort . However, using the method involves a learning curve, and accuracy worsens in the presence of metal restorations and in situations with subgingival margins . Accurate digitization of impressions to create virtual dental casts can also be used to create well‐adapted, long‐lasting dental restorations when using methods that do not involve direct digitization .…”

mentioning

confidence: 99%

“…15,21,22 However, using the method involves a learning curve, and accuracy worsens in the presence of metal restorations and in situations with subgingival margins. 23,24 Accurate digitization of impressions to create virtual dental casts can also be used to create well-adapted, long-lasting dental restorations when using methods that do not involve direct digitization. 2,25,26 The final impression is made with conventional elastomeric impression materials, and the definitive cast fabricated from the impression or the impression itself is scanned with tabletop scanners; these methods are referred to as indirect digitization.…”

mentioning

confidence: 99%

Accuracy of Three Digitization Methods for the Dental Arch with Various Tooth Preparation Designs: An In Vitro Study

Lee²,

Park

et al. 2018

Journal of Prosthodontics

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Purpose To evaluate the accuracy of three digitization methods for the maxillary dental arch. Materials and Methods A maxillary typodont with various tooth preparation designs was used as the reference model. The scanned data were classified into direct scanning (DS), cast scanning (CS), and impression scanning (IS) groups according to the techniques applied for digitization (n = 10/group). An intraoral scanner was used for the DS group. Impressions obtained with polyether impression material were scanned with a tabletop scanner for the IS group. For the CS group, the definitive casts fabricated from the obtained impressions were scanned with the same tabletop scanner. The accuracy (trueness and precision) of the produced virtual dental casts was evaluated with specialized software. The full‐arch and individual abutment deviations were measured with regard to root mean square error (RMSE) values. Data were analyzed with statistical software with an α0.33em=0.33em0.05. Results The RMSE values for both trueness and precision were lowest in the IS group, followed by the CS and DS groups, with statistically significant differences among the groups (p < 0.05). The trueness of individual abutments was significantly higher in the IS group than in the DS group. In addition, the trueness of individual abutments was affected by the location of the abutments in the DS group, whereas it did not differ between individual abutments in the CS and IS groups. Conclusions These findings suggest that the IS method is an accurate digitization technique for the creation of a virtual dental cast.

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Influence of material surface on the scanning error of a powder-free 3D measuring system

Cited by 86 publications

References 24 publications

The effect of scanning the palate and scan body position on the accuracy of complete‐arch implant scans

The effect of scanning the palate and scan body position on the accuracy of complete‐arch implant scans

Accuracy on Scanned Images of Full Arch Models with Orthodontic Brackets by Various Intraoral Scanners in the Presence of Artificial Saliva

Accuracy of Three Digitization Methods for the Dental Arch with Various Tooth Preparation Designs: An In Vitro Study

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