Soft tissue-based registration of intraoral scan with cone beam computed tomography scan

Purpose A fully digital approach to oral prosthodontic rehabilitation requires the possibility of combining (i.e., registering) digital documentation from different sources. This becomes more complex in an edentulous jaw, as fixed dental markers to perform reliable registration are lacking. This validation study aimed to evaluate the reproducibility of 1) intraoral scanning and 2) soft tissue-based registration of an intraoral scan with a cone-beam computed tomography (CBCT) scan for a fully edentulous upper jaw. Materials and Methods Two observers independently performed intraoral scans of the upper jaw in 14 fully edentulous patients. The palatal vault of both surface models was aligned, and the inter-observer variability was assessed by calculating the mean inter-surface distance at the level of the alveolar crest. Additionally, a CBCT scan of all patients was obtained and a soft tissue surface model was generated using patient-specific gray values. This CBCT soft tissue model was registered with the intraoral scans of both observers, and the intraclass correlation coefficient (ICC) was calculated to evaluate the reproducibility of the registration method. Results The mean inter-observer deviation when performing an intraoral scan of the fully edentulous upper jaw was 0.10 ± 0.09 mm. The inter-observer agreement for the soft tissue-based registration method was excellent (ICC=0.94; 95% confidence interval, 0.81–0.98). Conclusion Even when teeth are lacking, intraoral scanning of the jaw and soft tissue-based registration of an intraoral scan with a CBCT scan can be performed with a high degree of precision.

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“…Secondly, the registration method proposed in the current study was validated on dentate jaws and compared with a triple scan procedure. 5 …”

Section: Discussionmentioning

confidence: 99%

“…Using the RMS as the quality standard, the optimization function converged to the most optimal gray value with the lowest RMS, which was selected to reconstruct the final soft tissue mucosal surface from the CBCT scan used for further analysis. 5 …”

Section: Methodsmentioning

confidence: 99%

Intraoral scanning of the edentulous jaw without additional markers: An in vivo validation study on scanning precision and registration of an intraoral scan with a cone-beam computed tomography scan

et al. 2023

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“…It is worth noting that the data used in their research were derived from an artificial skull model, which may not perfectly represent real patient data due to inherent differences. An intriguing approach was proposed by Deferm et al [32], who introduced a novel soft tissue-based method for registering intraoral scans with CBCT scans. Their study commenced with the alignment of dentate jaws via the registration of the palatal mucosal surface, which was followed by a meticulous evaluation of accuracy at the individual tooth level.…”

Section: Discussionmentioning

confidence: 99%

Novel Procedure for Automatic Registration between Cone-Beam Computed Tomography and Intraoral Scan Data Supported with 3D Segmentation

Kim,

Ahn,

Lim

et al. 2023

Bioengineering

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In contemporary practice, intraoral scans and cone-beam computed tomography (CBCT) are widely adopted techniques for tooth localization and the acquisition of comprehensive three-dimensional models. Despite their utility, each dataset presents inherent merits and limitations, prompting the pursuit of an amalgamated solution for optimization. Thus, this research introduces a novel 3D registration approach aimed at harmonizing these distinct datasets to offer a holistic perspective. In the pre-processing phase, a retrained Mask-RCNN is deployed on both sagittal and panoramic projections to partition upper and lower teeth from the encompassing CBCT raw data. Simultaneously, a chromatic classification model is proposed for segregating gingival tissue from tooth structures in intraoral scan data. Subsequently, the segregated datasets are aligned based on dental crowns, employing the robust RANSAC and ICP algorithms. To assess the proposed methodology’s efficacy, the Euclidean distance between corresponding points is statistically evaluated. Additionally, dental experts, including two orthodontists and an experienced general dentist, evaluate the clinical potential by measuring distances between landmarks on tooth surfaces. The computed error in corresponding point distances between intraoral scan data and CBCT data in the automatically registered datasets utilizing the proposed technique is quantified at 0.234 ± 0.019 mm, which is significantly below the 0.3 mm CBCT voxel size. Moreover, the average measurement discrepancy among expert-identified landmarks ranges from 0.368 to 1.079 mm, underscoring the promise of the proposed method.

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“…Since CBCT was first applied in the field of dentistry in the 1990s, it can almost accurately assess the characteristics of soft and hard tissues without obvious magnification and distortion and is increasingly used by clinicians to assess the anatomical morphology of teeth (29,30). The intraclass correlation coefficient of the three measurement items of 50 maxillary first premolars between callipers and CBCT software were pretty high (mesiodistal diameter: 0.959, buccolingual diameter: 0.997, crown length: 0.999).…”

Section: Discussionmentioning

confidence: 99%

Measurement of the morphological data of primary teeth in northwest China

Yang²,

Zhang³

et al. 2022

Front. Pediatr.

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ObjectiveThis study aims to digitally obtain the morphological data of children's primary teeth in northwest China and evaluate the reliability of digitally obtaining the anatomical morphological data of primary teeth.MethodsA total of 308 extracted primary teeth and cone-beam computed tomography (CBCT) images of 407 primary teeth were collected in northwest China. Electronic digital Vernier callipers (accuracy: 0.01 mm) were used to measure the mesiodistal and buccolingual diameters and crown length of the extracted primary teeth and calculate the crown area and crown index. Each sample was scanned with an intraoral scanner (Trios2 3shape, Denmark), and the resulting stl format files were imported into Geomagic Wrap 2015 to measure the axial and buccolingual diameters and crown length. The crown area and crown index were then calculated. After verifying the accuracy of the CBCT image measurement, the CBCT image data of 407 samples were measured in SmartV software using the “measure length” function by referring to the coronal, sagittal, and horizontal planes to adjust the position of the reference line.ResultsNorthern Chinese have larger primary teeth than other populations (Japanese, white American, African, Icelander, Spanish, and Dominican Mestizo) but smaller primary teeth than native Australians. Compared to Indian primary teeth, northwest Chinese's primary teeth have larger diameters on the central axis and smaller diameters on the buccolingual surface. Male teeth are usually larger than female teeth. Compared with the results of Wang Huiyun's study, the axial and buccolingual diameters and crown length of all native tooth types in this total sample were significantly smaller at the 0.1% level, and only the axial diameters of the upper first molar and lower second molar and the crown length of the lower lateral incisor were significantly smaller at the 1% level. The results of the intraclass correlation coefficient of 308 extracted primary teeth expressed an excellent degree of agreement between the callipers and intraoral scanner for the following: mesiodistal diameter (0.956–0.991), buccolingual diameter (0.963–0.989), crown length [0.864–0.992, except for the upper canine (0.690)], crown index (0.850–0.975), and crown area (0.946–0.993).ConclusionThe digital measurements of the intraoral scanner and CBCT image are in good agreement with the manual measurement of the Vernier calliper. The difference between the anatomical morphology size of the primary teeth measured in this study and the results of different populations could be due to different genetic backgrounds and environmental factors.

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Soft tissue-based registration of intraoral scan with cone beam computed tomography scan

Cited by 6 publications

References 13 publications

Intraoral scanning of the edentulous jaw without additional markers: An in vivo validation study on scanning precision and registration of an intraoral scan with a cone-beam computed tomography scan

Intraoral scanning of the edentulous jaw without additional markers: An in vivo validation study on scanning precision and registration of an intraoral scan with a cone-beam computed tomography scan

Novel Procedure for Automatic Registration between Cone-Beam Computed Tomography and Intraoral Scan Data Supported with 3D Segmentation

Measurement of the morphological data of primary teeth in northwest China

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