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A fully automated method for 3D individual tooth identification and segmentation in dental CBCT [article]

Tae Jun Jang, Kang Cheol Kim, Hyun Cheol Cho, Jin Keun Seo
2021 arXiv   pre-print
Thus, this paper proposes a fully automated method of identifying and segmenting 3D individual teeth from dental CBCT images.  ...  Accurate and automatic segmentation of three-dimensional (3D) individual teeth from cone-beam computerized tomography (CBCT) images is a challenging problem because of the difficulty in separating an individual  ...  We would like to express our deepest gratitude HDXWILL which shares dental CBCT images and ground-truth data.  ... 
arXiv:2102.06060v1 fatcat:piwk4gftivfedm7uyfvaijx334

Deep Learning for Automatic Image Segmentation in Stomatology and Its Clinical Application

Dan Luo, Wei Zeng, Jinlong Chen, Wei Tang
2021 Frontiers in Medical Technology  
We divided task formulations into semantic segmentation tasks and instance segmentation tasks.  ...  In particular, for the automatic segmentation of stomatological images, great advances have been made in segmentation performance.  ...  ) for fine segmentation and classification, to perform tooth instance segmentation from CBCT; they achieved a DSC of 0.962 on their own dataset.  ... 
doi:10.3389/fmedt.2021.767836 pmid:35047964 pmcid:PMC8757832 fatcat:gnbf4xxfh5hgdif6ynne3umiqi

AI-enabled Automatic Multimodal Fusion of Cone-Beam CT and Intraoral Scans for Intelligent 3D Tooth-Bone Reconstruction and Clinical Applications [article]

Jin Hao, Jiaxiang Liu, Jin Li, Wei Pan, Ruizhe Chen, Huimin Xiong, Kaiwei Sun, Hangzheng Lin, Wanlu Liu, Wanghui Ding, Jianfei Yang, Haoji Hu (+8 others)
2022 arXiv   pre-print
A critical step in virtual dental treatment planning is to accurately delineate all tooth-bone structures from CBCT with high fidelity and accurate anatomical information.  ...  Previous studies have established several methods for CBCT segmentation using deep learning.  ...  Some prior work formulated tooth segmentation in CBCT as an instance segmentation task on 3D CBCT images, which usually requires annotating both tooth pixels and tooth instances on 3D voxels across the  ... 
arXiv:2203.05784v1 fatcat:7x33rdtgnjgvvanhykfuq6jotu

Pose-Aware Instance Segmentation Framework from Cone Beam CT Images for Tooth Segmentation [article]

Minyoung Chung, Minkyung Lee, Jioh Hong, Sanguk Park, Jusang Lee, Jingyu Lee, Jeongjin Lee, Yeong-Gil Shin
2020 arXiv   pre-print
Individual tooth segmentation from cone beam computed tomography (CBCT) images is an essential prerequisite for an anatomical understanding of orthodontic structures in several applications, such as tooth  ...  However, the presence of severe metal artifacts in CBCT images hinders the accurate segmentation of each individual tooth.  ...  The primary challenges of individual tooth detection and segmentation arise from: 1) high overlapping ratio between instances (i.e., teeth) and 2) the existence of severe metal artifacts in CBCT images  ... 
arXiv:2002.02143v1 fatcat:4kpz2aoxejcwdnnnaoqxvsqaxq

Efficacy of CBCT for assessment of impacted mandibular third molars: a review – based on a hierarchical model of evidence

L H Matzen, A Wenzel
2015 Dentomaxillofacial Radiology  
However, CBCT may be suggested when one or more signs for a close contact between the tooth and the canal are present in the two-dimensional image-if it is believed that CBCT will change the treatment  ...  Efficacy of CBCT for assessment of impacted mandibular third molars: a reviewbased on a hierarchical model of evidence. Dentomaxillofac Radiol 2015; 44: 20140189.  ...  /dmfr Figure 1 1 (a) Segmented panoramic image of the two mandibular third molars.  ... 
doi:10.1259/dmfr.20140189 pmid:25135317 pmcid:PMC4277437 fatcat:ycjpdpa6wrfefmgnp3mikrar2m

Applications of artificial intelligence in dentistry: A comprehensive review

Francisco Carrillo‐Perez, Oscar E. Pecho, Juan Carlos Morales, Rade D. Paravina, Alvaro Della Bona, Razvan Ghinea, Rosa Pulgar, María del Mar Pérez, Luis Javier Herrera
2021 Journal of Esthetic and Restorative Dentistry  
Study methodologies included deep learning (DL; n = 76), fuzzy logic (FL; n = 12), and other ML techniques (n = 32), which were mainly applied to disease identification, image segmentation, image correction  ...  In addition, esthetic dentistry can benefit from those advances by developing models allowing a complete characterization of tooth color, enhancing the accuracy of dental restorations.  ...  Radiographs and SVMs have been used for dental restoration detection, 140 and tooth segmentation and numbering. 143 Images from CBCT scans have been useful also for tooth segmentation and numbering  ... 
doi:10.1111/jerd.12844 pmid:34842324 fatcat:f3auyddxanhove6mqsxnzkwqy4

Modeling Skull-Face Anatomical/Morphological Correspondence for Craniofacial Superimposition-Based Identification

Carmen Campomanes-Alvarez, Ruben Martos-Fernandez, Caroline Wilkinson, Oscar Ibanez, Oscar Cordon
2018 IEEE Transactions on Information Forensics and Security  
It involves the process of overlaying a variable number of facial images with the skull.  ...  The final decision is guided by different criteria depending on the anatomical relations between the skull and the face.  ...  In this study, forensic experts must delineate from each image from one to eight regions in each image (depending on their visibility): chin contour, cranial contour, eyeball center right, eyeball center  ... 
doi:10.1109/tifs.2018.2791434 fatcat:g2mzlozmjnfcnnth5azgtsofi4

Artificial Intelligence Techniques: Analysis, Application, and Outcome in Dentistry—A Systematic Review

Naseer Ahmed, Maria Shakoor Abbasi, Filza Zuberi, Warisha Qamar, Mohamad Syahrizal Bin Halim, Afsheen Maqsood, Mohammad Khursheed Alam, Vincenzo Grassia
2021 BioMed Research International  
Using the MeSH keywords: artificial intelligence (AI), dentistry, AI in dentistry, neural networks and dentistry, machine learning, AI dental imaging, and AI treatment recommendations and dentistry.  ...  of tooth segmentation on dental panoramic images.  ...  segments Oral radiologist manually performed individual tooth annotation on the PA OD and forensic dentistry 846 images with tooth annotations from 30 PA were used for training, and 20 as  ... 
doi:10.1155/2021/9751564 pmid:34258283 pmcid:PMC8245240 fatcat:b3povvwpkbcj3jbf7i4f5sy2hq

CARS 2016—Computer Assisted Radiology and Surgery Proceedings of the 30th International Congress and Exhibition Heidelberg, Germany, June 21–25, 2016

2016 International Journal of Computer Assisted Radiology and Surgery  
Acknowledgements This study was supported in part by grants from the Ohio Department of Development (TVSF 15-  ...  similar morphology from medical image databases for clinical decision support.  ...  of the tooth of interest [4] .  ... 
doi:10.1007/s11548-016-1412-5 pmid:27206418 fatcat:uk5r46n2xvhedkfjzmeiweyneq

ECR 2015 Book of Abstracts - A - Postgraduate Educational Programme

2015 Insights into Imaging  
Complications from image guided ablation are uncommon. Hematomas are rare and seldom require transfusion.  ...  interpretation based on morphological images.  ...  imaging strategies and image-guided therapy.  ... 
doi:10.1007/s13244-015-0386-0 pmid:25708993 pmcid:PMC4349897 fatcat:m7eyvqcwojfpvf3lr5hy6dwjb4

ECR 2013 Book of Abstracts - A - Postgraduate Educational Programme

2013 Insights into Imaging  
Complications from image guided ablation are uncommon. Hematomas are rare and seldom require transfusion.  ...  interpretation based on morphological images.  ...  imaging strategies and image-guided therapy.  ... 
doi:10.1007/s13244-013-0227-y pmid:23468009 pmcid:PMC3666656 fatcat:yitsk227mba2pl7wcypouf6tz4

ECR 2011 Book of Abstracts - A - Postgraduate Educational Programme

2011 Insights into Imaging  
Complications from image guided ablation are uncommon. Hematomas are rare and seldom require transfusion.  ...  interpretation based on morphological images.  ...  imaging strategies and image-guided therapy.  ... 
doi:10.1007/s13244-011-0078-3 pmid:23100070 pmcid:PMC3533621 fatcat:qa3ln4hhvve2hhumgwwnmykgoe

ECR 2016 Book of Abstracts - A - Postgraduate Educational Programme

2016 Insights into Imaging  
Complications from image guided ablation are uncommon. Hematomas are rare and seldom require transfusion.  ...  interpretation based on morphological images.  ...  imaging strategies and image-guided therapy.  ... 
doi:10.1007/s13244-016-0474-9 pmid:26873353 pmcid:PMC4762839 fatcat:itxslbcacjhh3kixfkcwmdbt44

DETECTING APICAL RADIOLUCENCIES USING DEEP LEARNING TECHNOLOGY

Manal Hamdan
2021
Methods: Using CBCT as the ground truth reference, (n=68) IO radiographs were randomly selected to serve as the testing subset.  ...  Readers analyzed the same images under two conditions: with and without AI predictions shown. The readers' performance for both conditions was compared.  ...  Setzer et al. demonstrated excellent results in another study that aimed to use a DL algorithm for the automated segmentation of CBCT images and the detection of periapical lesions.  ... 
doi:10.17615/ty5m-hg11 fatcat:4raseuo6ibcfvmwvsusmzo2xbq

Effect of Laser Phototherapy on the Hyalinization Following Orthodontic Tooth Movement in Rats

Fernando A. L. Habib, Sabrina K. C. Gama, Luciana M. P. Ramalho, Maria Cristina T. Cangussú, Fernando P. dos Santos Neto, Juliana A. Lacerda, Telma M. de Araújo, Antônio L. B. Pinheiro
2012 Photomedicine and Laser Surgery  
Carolyn Stulner-Karthigasu and Paul Sillifant for their exceptional work on this case, and also Mr Mark Walters at Princess Margaret Hospital, for his assistance with the post-surgical computed tomography images  ...  We also wish to thank Mr Yusdirman Ahmad Yusuf from the Information System Unit at the Hospital of the Universiti Sains Malaysia.  ...  The effective absorbed dose from CBCT imaging will be compared with conventional and medical imaging as well as common human activities.  ... 
doi:10.1089/pho.2011.3085 pmid:22321059 fatcat:xquf67thnzdr7h7kk7nskf27hi
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