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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  ...  The primary significance of the proposed method is two-fold: 1) an introduction of pose-aware VOI realignment followed by a robust tooth detection and 2) a metal-robust CNN framework for accurate tooth  ...  Index Terms-Cone beam computed tomography image segmentation, pose-aware tooth detection, pose regression neural network, tooth instance segmentation. I.  ... 
arXiv:2002.02143v1 fatcat:4kpz2aoxejcwdnnnaoqxvsqaxq

Dental pathology detection in 3D cone-beam CT [article]

Adel Zakirov, Matvey Ezhov, Maxim Gusarev, Vladimir Alexandrovsky, Evgeny Shumilov
2018 arXiv   pre-print
Cone-beam computed tomography (CBCT) is a valuable imaging method in dental diagnostics that provides information not available in traditional 2D imaging.  ...  The proposed system achieves 96.3\% accuracy in tooth localization and an average of 0.94 AUROC for 6 common tooth conditions.  ...  Tooth labeling in cone-beam ct using deep convolutional neural network for forensic identification. In Medical Imaging: Computer-Aided Diagnosis, 2017. [14] F. Milletari, N. Navab, and S.  ... 
arXiv:1810.10309v1 fatcat:ys6n7ziggrdlhds2necfqislje

Machine learning in orthodontics: Challenges and perspectives

Jialing Liu, Ye Chen, Shihao Li, Zhihe Zhao, Zhihong Wu
2021 Advances in Clinical and Experimental Medicine  
Machine learning models have been found to perform similar to or with even higher accuracy than humans in landmark identification, skeletal classification, bone age prediction, and tooth segmentation.  ...  It is hopeful that AI, especially machine learning (ML), due to its powerful capacity for image processing and decision support systems, will find extensive application in orthodontics in the future.  ...  Pose regression was found to eliminate the overlapping areas by realigning the volume-of-interest regions. 26 Moreover, it was discovered that for tooth segmentation, the pose-aware R-CNN model outperformed  ... 
doi:10.17219/acem/138702 pmid:34610222 fatcat:re6hs745sjdfhjapvmwzioms44

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-  ...  We would like to thank the Spanish company BQ for the donation of the 3D printing hardware for clinical use.  ...  Intraoperative cone beam CT imaging is performed prior to commencing the second segment which passes the close lying nerves.  ... 
doi:10.1007/s11548-016-1412-5 pmid:27206418 fatcat:uk5r46n2xvhedkfjzmeiweyneq

CARS 2021: Computer Assisted Radiology and Surgery Proceedings of the 35th International Congress and Exhibition Munich, Germany, June 21–25, 2021

2021 International Journal of Computer Assisted Radiology and Surgery  
Acknowledgements This work has been funded by the research project PI18/00169 from Instituto de Salud Carlos III & FEDER funds.  ...  systems such as cone-beam CT and intraoperative MRI.  ...  We found that -DICOM-data from cone beam CT showed less noise and artifacts compared to multislice CT data.  ... 
doi:10.1007/s11548-021-02375-4 pmid:34085172 fatcat:6d564hsv2fbybkhw4wvc7uuxcy

TU-B-I-617-01: High Field MRI - Technology, Applications, Safety, and Limitations

RJ Stafford
2005 Medical Physics (Lancaster)  
multi-mode fluoroscopy and cone-beam CT image-guidance of surgical procedures.  ...  Method and Materials: The platform for the extended view C-arm for Cone-beam CT is a Siemens PowerMobil.  ...  novel technique to fully utilize the 3D anatomic information provided by cone-beam CT (CBCT) on-board imager for automated patient repositioning and quantitatively evaluate its performance by comparing  ... 
doi:10.1118/1.1999700 fatcat:yub56igoe5cl3cthdpzwrdvjp4

SU-EE-A3-06: An Efficient Algorithm for Image-Based Dose Deformation and Accumulation

M Kaus, V Pekar, T McNutt, K Bzdusek
2005 Medical Physics (Lancaster)  
multi-mode fluoroscopy and cone-beam CT image-guidance of surgical procedures.  ...  Method and Materials: The platform for the extended view C-arm for Cone-beam CT is a Siemens PowerMobil.  ...  novel technique to fully utilize the 3D anatomic information provided by cone-beam CT (CBCT) on-board imager for automated patient repositioning and quantitatively evaluate its performance by comparing  ... 
doi:10.1118/1.1997464 fatcat:zue2hfmc5ze6ziwu332w3u2lue

TU-EE-A3-05: Scatter Radiation in Digital Tomosynthesis

B Liu, S Glick, X Gong
2005 Medical Physics (Lancaster)  
multi-mode fluoroscopy and cone-beam CT image-guidance of surgical procedures.  ...  Method and Materials: The platform for the extended view C-arm for Cone-beam CT is a Siemens PowerMobil.  ...  novel technique to fully utilize the 3D anatomic information provided by cone-beam CT (CBCT) on-board imager for automated patient repositioning and quantitatively evaluate its performance by comparing  ... 
doi:10.1118/1.1998434 fatcat:jnqebvqstnhixdmecqmh35gfbi

Learning Capacity in Simulated Virtual Neurological Procedures

Mattia Samuel Mancosu, Silvester Czanner, Martin Punter
2020 Journal of WSCG  
ACKNOWLEDGEMENTS The authors would like to thank Oana Rotaru-Orhei for her comments and the three anonymous reviewers for their insightful suggestions.  ...  ACKNOWLEDGMENTS The authors acknowledge the support of the NSERC/Creaform Industrial Research Chair on 3-D Scanning for conducting the work presented in this paper.  ...  The authors used a graph-based algorithm for tooth contours extraction from panoramic radiographs. Tooth contours were represented using the Shape Context and Beam Angle Statistics (BAS) descriptors.  ... 
doi:10.24132/csrn.2020.3001.13 fatcat:uytlm7nytrhmnk553ellfhl54a

Artificial Intelligence in the Diagnosis of Oral Diseases: Applications and Pitfalls

Shankargouda Patil, Sarah Albogami, Jagadish Hosmani, Sheetal Mujoo, Mona Awad Kamil, Manawar Ahmad Mansour, Hina Naim Abdul, Shilpa Bhandi, Shiek S. S. J. Ahmed
2022 Diagnostics  
diagnosis of various oral diseases, such as dental caries, maxillary sinus diseases, periodontal diseases, salivary gland diseases, TMJ disorders, and oral cancer through clinical data and diagnostic images  ...  Of the total 500 CT images, 400 CT images (200 CT images of the control group, 200 CT images of the Sjogren's syndrome patients) were used as a training dataset while 100 CT images were used as the test  ...  The proposed AUC for detection of model can mucosal thickening accurately detect Hung KF et al. (2022) [40] CNN maxillary sinusitis Cone-beam computed tomography 890 and mucous retention cyst was 0.91  ... 
doi:10.3390/diagnostics12051029 fatcat:d6gbhlrb2vdvle7kt3xae2tce4

Interpretation of chemically created periapical lesions using direct digital imaging

Allen W. Meier, Cecil E. Brown, Dale A. Milles, Mostafa Analoui
1996 Journal of Endodontics  
This poses a dilemma for radiologists, namely, whether to eliminate most of the CT grayscale to preserve the viewer's ability to discriminate low-contrast features, or to hinder this latter ability by  ...  If the length of the cone, for instance, is doubled and mA and kVp remain constant, the exposure time will need to be quadrupled to expose the target tissue to the same quantity of radiation.36 The exposure  ... 
doi:10.1016/s0099-2399(96)80009-4 pmid:9198437 fatcat:lakbubg7n5bkjlu6msvzeydd6m

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  
In previous approaches, we proposed a framework for automating this stage at different levels taking into consideration all the information and uncertainty sources involved.  ...  It involves the process of overlaying a variable number of facial images with the skull.  ...  tomography (CT) or cone beam CT (CBCT), is a well-established technology in Forensic Anthropology, both in the academic and daily case work [36] .  ... 
doi:10.1109/tifs.2018.2791434 fatcat:g2mzlozmjnfcnnth5azgtsofi4

ECR 2015 Book of Abstracts - A - Postgraduate Educational Programme

2015 Insights into Imaging  
their large FOVs (cone beam).  ...  One advantage of using cone-beam CT with conventional DSA is that cone-beam CT gives users the information they need to create an anatomic survey for treatment planning that delineates a patient's vascular  ...  What can be missed on cone-beam CT: pitfalls and challenges R.  ... 
doi:10.1007/s13244-015-0386-0 pmid:25708993 pmcid:PMC4349897 fatcat:m7eyvqcwojfpvf3lr5hy6dwjb4

ECR 2016 Book of Abstracts - A - Postgraduate Educational Programme

2016 Insights into Imaging  
their large FOVs (cone beam).  ...  One advantage of using cone-beam CT with conventional DSA is that cone-beam CT gives users the information they need to create an anatomic survey for treatment planning that delineates a patient's vascular  ...  What can be missed on cone-beam CT: pitfalls and challenges R.  ... 
doi:10.1007/s13244-016-0474-9 pmid:26873353 pmcid:PMC4762839 fatcat:itxslbcacjhh3kixfkcwmdbt44

ECR 2013 Book of Abstracts - A - Postgraduate Educational Programme

2013 Insights into Imaging  
their large FOVs (cone beam).  ...  One advantage of using cone-beam CT with conventional DSA is that cone-beam CT gives users the information they need to create an anatomic survey for treatment planning that delineates a patient's vascular  ...  What can be missed on cone-beam CT: pitfalls and challenges R.  ... 
doi:10.1007/s13244-013-0227-y pmid:23468009 pmcid:PMC3666656 fatcat:yitsk227mba2pl7wcypouf6tz4
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