The aim of this study was to identify variables that can be used for osteoporosis detection using strut analysis, fractal dimension (FD) and the gray level co-occurrence matrix (GLCM) multiple regions interest develop an model based on panoramic radiography.A total 454 radiographs from oral examinations in our dental hospital 2012 2015 were randomly selected, equally distributed among osteoporotic non-osteoporotic patients (n = 227 each group). classified by bone mineral density (T-score)....

Abstract This study aimed to develop an artificial intelligence model that can detect mesiodens on panoramic radiographs of various dentition groups. Panoramic 612 patients were used for training. A convolutional neural network (CNN) based YOLOv3 detecting was developed. The performance according three groups (primary, mixed, and permanent dentition) evaluated, both internally (130 images) externally (118 images), using a multi-center dataset. To investigate the effect image preprocessing,...

Abstract The detection of maxillary sinus wall is important in dental fields such as implant surgery, tooth extraction, and odontogenic disease diagnosis. accurate segmentation the required a cornerstone for diagnosis treatment planning. This study proposes deep learning-based method fully automatic sinus, including clear or hazy states, on cone-beam computed tomographic (CBCT) images. A model sinuses was developed using U-Net, convolutional neural network, total 19,350 CBCT images were used...

Purpose:The aim of this study was to investigate the incidence bisphosphonate-related osteonecrosis jaw (BRONJ) after tooth extraction in patients with osteoporosis on oral bisphosphonates Korea and evaluate local factors affecting development BRONJ. Materials Methods:The clinical records 320 who underwent dental while receiving were reviewed.All had a healing period more than 6 months following extractions.Each patient's record used assess BRONJ; if BRONJ occurred, further radiographic...

This study was conducted to assess the clinical usability of zero-echo time (ZTE) technique MRI for evaluating bone changes temporomandibular joint (TMJ) in comparison with CBCT.Twenty patients TMJ disorder who underwent both CBCT and were randomly selected. images obtained an Alphard 3030 device (Asahi Roentgen Ind., Co. Ltd, Kyoto, Japan). MRIs using a 3.0 T scanner (Pioneer; GE Healthcare, Waukesha, WI, USA) 21-channel head coil. An isotropic three-dimensional proton-density-weighted ZTE...

This study aimed to evaluate the performance of transfer learning in a deep convolutional neural network for classifying implant fixtures.Periapical radiographs fixtures obtained using Superline (Dentium Co. Ltd., Seoul, Korea), TS III (Osstem Implant and Bone Level (Institut Straumann AG, Basel, Switzerland) systems were selected from patients who underwent dental treatment. All 355 comprised total dataset annotated with name system. The was split into training test at ratio 8 2,...

This study aimed to propose a fully automatic landmark identification model based on deep learning algorithm using real clinical data and verify its accuracy considering inter-examiner variability.In total, 950 lateral cephalometric images from Yonsei Dental Hospital were used. Two calibrated examiners manually identified the 13 most important landmarks set as references. The proposed has 2-step structure-a region of interest machine detection machine-each consisting 8 convolution layers, 5...

Abstract This study proposes a deep learning model for cortical bone segmentation in the mandibular condyle head using cone-beam computed tomography (CBCT) and an automated method measuring thickness with color display based on results. In total, 12,800 CBCT images from 25 normal subjects, manually labeled by oral radiologist, served as gold-standard. The combined modified U-Net convolutional neural network target region classification. Model performance was evaluated intersection over union...

Objectives This study aimed to evaluate the marginal and internal gaps in 3D-printed interim crowns made from digital models of cone-beam computed tomography (CBCT) conversion data. Materials methods Sixteen polyvinylsiloxane impressions were taken patients for single crown restorations scanned using CBCT. The scanning data converted positive Standard Triangulation Language (STL) files custom-developed software. fabricated stone with an intraoral optical scanner (IOS) compare surface...

The aim of this study was to investigate the available alveolar bone height between maxillary molars and sinus floor according their anatomical relationship using cone-beam computed tomographic (CBCT) images.A total 752 first (M1) second (M2) on CBCT scans 188 patients were selected. First, each molar categorized as type 1, 2, 3, or 4 root with floor. frequency distribution analyzed. Second, shortest vertical distance (VD) measured from furcation midpoints roots lowest point by 2 observers....

Abstract The metal artifact reduction (MAR) algorithm is used in most CBCT unit to reduce from various dental materials. performance of MAR program a according the material type under different imaging mode was evaluated as introducing automatic quantification amount reduced. Four customized phantoms with prostheses (amalgam, gold, porcelain-fused-metal, zirconia) underwent scanning and without option. performed varied conditions; 0.2 0.3 mm 3 voxel sizes; 70 100 kVp. artifacts reduced by...

Abstract Although the effects of osteoporosis on skeleton are well studied, site-specific and long-term studies mandible still lacking. This study investigated time-course changes bone microarchitecture in mandibular condyle comparison to corresponding alveolar bone, body mandible, femur. Thirty-six 11-week-old female Sprague-Dawley rats were divided into ovariectomized (OVX) (24 rats) sham (12 groups. The right femur obtained from 6 OVX 3 at 8, 12, 26, 36 weeks after surgery, respectively....

Temporomandibular joint disorder (TMD), which is a broad category encompassing disc displacement, common condition with an increasing prevalence. This study aimed to develop automated movement tracing algorithm for mouth opening and closing videos, quantitatively analyze the relationship between results obtained using this developed system position on magnetic resonance imaging (MRI).Mouth videos were digital camera from 91 subjects, who underwent MRI. Before video acquisition,...

This study aimed to develop a fully automated human identification method based on convolutional neural network (CNN) with large-scale dental panoramic radiograph (DPR) data set.In total, 2760 DPRs from 746 subjects who had 2-17 various changes in image characteristics due treatments (tooth extraction, oral surgery, prosthetics, orthodontics, or tooth development) were collected. The test set included the latest DPR of each subject (746 images) and other (2014 used for model training. A...

The aim of this study is to introduce a novel program panoramic radiography that shows 41 multilayer images from the buccal lingual aspects in region interest, and evaluate effectiveness for detecting proximal caries.In total, 480 premolars molars on 30 radiographs taken with imaging were included study. presence or absence caries 960 surfaces was assessed by three experienced oral maxillofacial radiologists as consensus-based gold-standard. Two general dentists evaluated scored 980 without...

Cone-beam computed tomography (CBCT) can provide 3D images of a targeted area with the advantage lower dosage than multidetector (MDCT; also simply referred to as CT). However, in CBCT, due cone-shaped geometry X-ray source and absence post-patient collimation, presence more scattering rays deteriorates image quality compared MDCT. CBCT is commonly used dental clinics, artifacts negatively affect radiology workflow diagnosis. Studies have attempted eliminate improve quality; however, vast...

We determined interblink corneal surface-temperature decline and tear-film evaporation rates of localized tear breakup cold regions (LCRs) unbroken warm (LWRs) the surface, as well that overall average surface.

The variety of cone-beam computed tomography (CBCT) machines and their applications has rapidly increased in recent years, making the dose evaluation individual devices an important issue. Patient doses from CBCT were assessed with two different methods: optically stimulated luminescence dosimeter (OSLD) measurements Monte Carlo (MC) simulations, four examination modes. Based on analysis measurement process obtained values, a recommendation is made regarding which method more practical...