Results 1 to 10 of about 7,979 (238)
Development of Artificial Intelligence-Supported Automatic Three-Dimensional Surface Cephalometry. [PDF]
Surface‐based three‐dimensional (3D) cephalometry provides detailed clinical information for the analysis of craniofacial structures. This study aimed to develop an automated 3D surface cephalometry system using mesh fitting based on landmarks identified
Tanikawa C +4 more
europepmc +5 more sources
Comparative Analysis of 3D Cephalometry Provided with Artificial Intelligence and Manual Tracing. [PDF]
Objectives: To compare 3D cephalometric analysis performed using AI with that conducted manually by a specialist orthodontist. Methods: The CBCT scans (a field of view of 15 × 15 cm) used in the study were obtained from 30 consecutive patients, aged 18 ...
Khabadze Z, Mordanov O, Shilyaeva E.
europepmc +3 more sources
Background: Cephalometry is fundamental in diagnosis, analysis, and planning of orthodontic-surgical treatment as it reveals skeletal relationship between the upper and lower jaw as well as facial aesthetic parameters.
Giovanna Perrotti +8 more
doaj +2 more sources
Differences in linear and angular measurement of the lower facial third in lateral cephalometry and lateral photometry: A comparative study [PDF]
Background: In clinical orthodontic practice, to evaluate aesthetics in dentistry, lateral cephalometry and lateral photometry are used to measure and assess craniofacial morphology.
Nani Sesqui +2 more
doaj +2 more sources
Cephalometry without complex dedicated postprocessing in an oriented magnetic resonance imaging dataset: a pilot study [PDF]
OBJECTIVES Magnetic resonance imaging (MRI) enables a 3D-volume-imaging without ionizing radiation. Therefore, it was the aim of this study to present a post-processing-free method for cephalometric analysis of a MRI-dataset and to examine whether there ...
Karoline März +7 more
openalex +2 more sources
Comparison of the accuracy of 2D and 3D cephalometry: a systematic review and meta-analysis [PDF]
Objectives To compare the measurement of cephalometric parameters using 3D images obtained from CBCT to 2D images obtained from a conventional cephalogram.
Yuran Qian +6 more
openalex +2 more sources
Accuracy of automated analysis in cephalometry
Background/purpose: Artificial intelligence (AI) has been widely used in medicine, including orthodontics. The aim of this study was to investigate the training process of a cascaded Convolutional Neural Network (CNN), built for landmark detection on ...
Réka Bagdy-Bálint +6 more
doaj +2 more sources
Aim: This study primarily aimed to assess the accuracy of classically-advocated reference points for the measurement of transverse jaw-base and dental relationships using conventional Postero-Anterior Cephalometry (PAC) and Cone-Beam Computed Tomography (
Tai Benjamin +4 more
doaj +2 more sources
Objectives: The aim of this systematic review is to compare cone-beam computed tomography (CBCT) and two-dimensional radiography in the assessment of facial asymmetry.
Vahid Mollabashi +5 more
openalex +2 more sources
Proposition of local automatic algorithm for landmark detection in 3D cephalometry
Objectives: this study proposes a new contribution to solve the problem of automatic landmarks detection in three-dimensional cephalometry. Methods: 3D images of twenty patient obtained from CBCT (Cone Beam Computed Tomography) equipment were used for ...
Mohammed Ed-Dhahraouy +5 more
openalex +3 more sources

