Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction

Liu, Jiaxiang; Jiang, Hao; Lin, Hangzheng; Pan, Wei; Wang, Dazhuo; Feng, Yaokai; Wang, Gaoang; Li, Jin; Jin, Zuolin; Liu, Zuozhu

doi:10.1016/j.patter.2023.100825

Cited by 13 publications

(6 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This feature enables automatic identification of missing teeth, which is an important aspect of dental analysis and treatment planning. Current methods often lack the ability to accurately capture information about missing teeth 32 , 38 , 40 or require the use of oral scan models 35 which can make the practical application of the algorithm difficult and make it impossible to accurately locate and select specific teeth during software interaction. The ability to accurately capture information about missing teeth makes our method more conducive to comprehensive dental evaluation.…”

Section: Discussionmentioning

confidence: 99%

“…Chung et al 31 proposed to first realign the CBCT image according to the maximum intensities projection. Liu et al’s 35 method requires first automatically registering the intraoral scan model obtained by an intraoral scanner or scanning traditional oral impressions with the CBCT image, and then segmenting the CBCT image based on the segmentation results of the intraoral scan model. Second, current methods are based on CNN networks, which have major problems in modeling long-range information because of the inherent properties of convolutional kernels 24 and obtaining accurate the adjacent relationship between teeth and missing teeth.…”

Section: Introductionmentioning

confidence: 99%

“…It cannot achieve the same classification results for teeth in the same position, which is mapped in the figure as different colors of teeth in the same position. The method proposed by Liu et al 35 requires first segmenting the oral scan model and registering it with the CBCT image to obtain segmentation results. This limits the application of these methods in the analysis and diagnosis of dental defects, since information on missing teeth is essential for the correct localization and assessment of the patient’s oral health status.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Fully automatic AI segmentation of oral surgery-related tissues based on cone beam computed tomography images

Liu,

Xie,

Wang

et al. 2024

Int J Oral Sci

View full text Add to dashboard Cite

Accurate segmentation of oral surgery-related tissues from cone beam computed tomography (CBCT) images can significantly accelerate treatment planning and improve surgical accuracy. In this paper, we propose a fully automated tissue segmentation system for dental implant surgery. Specifically, we propose an image preprocessing method based on data distribution histograms, which can adaptively process CBCT images with different parameters. Based on this, we use the bone segmentation network to obtain the segmentation results of alveolar bone, teeth, and maxillary sinus. We use the tooth and mandibular regions as the ROI regions of tooth segmentation and mandibular nerve tube segmentation to achieve the corresponding tasks. The tooth segmentation results can obtain the order information of the dentition. The corresponding experimental results show that our method can achieve higher segmentation accuracy and efficiency compared to existing methods. Its average Dice scores on the tooth, alveolar bone, maxillary sinus, and mandibular canal segmentation tasks were 96.5%, 95.4%, 93.6%, and 94.8%, respectively. These results demonstrate that it can accelerate the development of digital dentistry.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fully automatic AI segmentation of oral surgery-related tissues based on cone beam computed tomography images

Liu,

Xie,

Wang

et al. 2024

Int J Oral Sci

View full text Add to dashboard Cite

show abstract

“…In comparison to CBCT, intraoral scanning yield greater precision in capturing soft tissue morphotypes, encompassing aspects such as crown and GM, the curve of the gingival margin, and papilla height (PH) [ 27 , 28 ]. Research has suggested that integrating CBCT images with intraoral scanning data could comprehensively assess the periodontal phenotype of both bone and soft tissue in clinical practice [ 21 , 29 , 30 ]. To date, there is a limited number of studies that have utilized this multidimensional methodology to investigate the correlation between SGTDs and other PP.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the correlation between supracrestal gingival tissue dimensions and other periodontal phenotypes components via the digital registration method: a cross‑sectional study in a Chinese population

Lin,

Wang,

et al. 2024

BMC Oral Health

View full text Add to dashboard Cite

Background Supracrestal gingival tissue dimensions (SGTDs) has been considered to be an essential element of periodontal phenotype (PP) components. This study aimed to explore the relationship between SGTDs and other PP components by digital superposition method that integrated cone beam computed tomography (CBCT) with intraoral scanning. Methods This cross-sectional study was conducted at the Stomatology Hospital of Fujian Medical University. Participants were recruited based on the inclusion and exclusion criteria. The data obtained from the digital scanner (TRIOS 3, 3Shape, Denmark) and CBCT images were imported into the TRIOS software (Implant Studio, 3Shape, Denmark) for computing relevant parameters. The significant level was set at 0.05. Results A total of 83 participants with 498 maxillary anterior teeth were finally included. The mean values of supracrestal gingival height (SGH) and the distance from the cementoenamel junction (CEJ) to the crest of the alveolar ridge (CEJ-ABC) on the buccal site were significantly higher than palatal SGH (SGH-p) and palatal CEJ-ABC (CEJ-ABC-p). Men exhibited taller CEJ-ABC and SGH-p than women. Additionally, tooth type was significantly associated with the SGH, SGH-p and CEJ-ABC-p. Taller SGH was associated with wider crown, smaller papilla height (PH), flatter gingival margin, thicker bone thickness (BT) and gingival thickness (GT) at CEJ, the alveolar bone crest (ABC), and 2 mm apical to the ABC. Smaller SGH-p displayed thicker BT and GT at CEJ, the ABC, and 2 and 4 mm apical to the ABC. Higher CEJ-ABC showed lower interproximal bone height, smaller PH, flatter gingival margin, thinner GT and BT at CEJ, and 2 mm apical to the ABC. Smaller CEJ-ABC-p displayed thicker BT at CEJ and 2 and 4 mm apical to the ABC. On the buccal, thicker GT was correlated with thicker BT at 2 and 4 mm below the ABC. Conclusion SGTDs exhibited a correlation with other PP components, especially crown shape, gingival margin and interdental PH. The relationship between SGTDs and gingival and bone phenotypes depended on the apico-coronal level evaluated. Trial registration This study was approved by the Biomedical Research Ethics Committee of Stomatology Hospital of Fujian Medical University (approval no. 2023-24).

show abstract

“…Ultimately, we can highlight that the advent of digital systems, from CBCT to intraoral scan and the software connected to these devices, has speeded up and made the process of diagnosing an orthodontic case more precise. The integration of deep learning within the software has further accelerated the processes of image processing [36,37].…”

Section: Introductionmentioning

confidence: 99%

Predictability of Dental Distalization with Clear Aligners: A Systematic Review

Inchingolo,

Carpentiere

et al. 2023

Bioengineering

View full text Add to dashboard Cite

The current review aims to evaluate the scientific evidence relating to the effectiveness of treatment with clear aligners (CAs) in controlling distalization orthodontic tooth movement. “Orthodontics, aligners” and “distalization” were the search terms used on the Scopus, Web of Science and Pubmed databases with the Boolean operator “AND”. The results of the last ten years of research were 146 studies; of these, 19 publications were included for this review. The distalization movement is possible with invisible masks alone, but the risk of losing anchorage in the anterior sectors is very probable. The stability of the results and the reduction of unwanted effects can be guaranteed by the use of skeletal anchoring devices and interproximal enamel reduction (IPR), with which compensations are obtained to reduce the initial overjet. Temporary anchorage devices (TADs) can be used to manage posterior anchorage after distalization of maxillary molars with aligners. This hybrid approach has demonstrated the greatest orthodontic success. TADs are useful aids to provide direct and indirect skeletal anchorage. The opposite effect must be considered when planning dental distalization, especially of the molars, in patients with large overjet, and corrective measures or the use of auxiliaries may be necessary to prevent midcourse corrections. This systematic review provides a critical evidence-based assessment of the predictability of dental distalization with CAs, an ever-evolving orthodontic technique.

show abstract

Deep learning-enabled 3D multimodal fusion of cone-beam CT and intraoral mesh scans for clinically applicable tooth-bone reconstruction

Cited by 13 publications

References 68 publications

Fully automatic AI segmentation of oral surgery-related tissues based on cone beam computed tomography images

Fully automatic AI segmentation of oral surgery-related tissues based on cone beam computed tomography images

Assessment of the correlation between supracrestal gingival tissue dimensions and other periodontal phenotypes components via the digital registration method: a cross‑sectional study in a Chinese population

Predictability of Dental Distalization with Clear Aligners: A Systematic Review

Contact Info

Product

Resources

About