AIMC Topic: Cephalometry

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Learning-based local-to-global landmark annotation for automatic 3D cephalometry.

Physics in medicine and biology Apr 23, 2020
The annotation of three-dimensional (3D) cephalometric landmarks in 3D computerized tomography (CT) has become an essential part of cephalometric analysis, which is used for diagnosis, surgical planning, and treatment evaluation. The automation of 3D...
Humans Machine Learning Tomography, X-Ray Computed Cephalometry Automation Skull Reproducibility of Results Imaging, Three-Dimensional Anatomic Landmarks
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Cervical vertebral maturation assessment on lateral cephalometric radiographs using artificial intelligence: comparison of machine learning classifier models.

Dento maxillo facial radiology Mar 9, 2020
OBJECTIVES: This study aimed to develop five different supervised machine learning (ML) classifier models using artificial intelligence (AI) techniques and to compare their performance for cervical vertebral maturation (CVM) analysis. A clinical deci...
Cephalometry Cervical Vertebrae Age Determination by Skeleton Humans Artificial Intelligence Machine Learning
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Automated Skeletal Classification with Lateral Cephalometry Based on Artificial Intelligence.

Journal of dental research Jan 24, 2020
Lateral cephalometry has been widely used for skeletal classification in orthodontic diagnosis and treatment planning. However, this conventional system, requiring manual tracing of individual landmarks, contains possible errors of inter- and intrava...
Artificial Intelligence ROC Curve Cephalometry Neural Networks, Computer
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Automatic evaluation of fetal head biometry from ultrasound images using machine learning.

Physiological measurement Jul 1, 2019
OBJECTIVE: Ultrasound-based fetal biometric measurements, such as head circumference (HC) and biparietal diameter (BPD), are frequently used to evaluate gestational age and diagnose fetal central nervous system pathology. Because manual measurements ...
Machine Learning Ultrasonography, Prenatal Image Processing, Computer-Assisted Humans Head Regression Analysis Biometry Cephalometry Automation
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Integrating spatial configuration into heatmap regression based CNNs for landmark localization.

Medical image analysis Mar 25, 2019
In many medical image analysis applications, only a limited amount of training data is available due to the costs of image acquisition and the large manual annotation effort required from experts. Training recent state-of-the-art machine learning met...
Magnetic Resonance Imaging Anatomic Landmarks Cephalometry Tomography, X-Ray Computed Imaging, Three-Dimensional Image Processing, Computer-Assisted Spine Hand Humans Neural Networks, Computer
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Automatic 3D cephalometric annotation system using shadowed 2D image-based machine learning.

Physics in medicine and biology Feb 20, 2019
This paper presents a new approach to automatic three-dimensional (3D) cephalometric annotation for diagnosis, surgical planning, and treatment evaluation. There has long been considerable demand for automated cephalometric landmarking, since manual ...
Imaging, Three-Dimensional Anatomic Landmarks Cephalometry Automation Humans Machine Learning Reproducibility of Results
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Artificial intelligence assistance for fetal head biometry: Assessment of automated measurement software.

Diagnostic and interventional imaging Sep 1, 2018
PURPOSE: To evaluate the feasibility and reproducibility of artificial intelligence software (Smartplanes) to automatically identify the transthalamic plane from 3D ultrasound volumes and to measure the biparietal diameter (BPD) and head circumferenc...
Cephalometry Feasibility Studies Fetus Artificial Intelligence Software Pregnancy Female Reproducibility of Results Ultrasonography, Prenatal Humans
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Machine learning applied to neuroimaging for diagnosis of adult classic Chiari malformation: role of the basion as a key morphometric indicator.

Journal of neurosurgery Oct 20, 2017
OBJECTIVE The current diagnostic criterion for Chiari malformation Type I (CM-I), based on tonsillar herniation (TH), includes a diversity of patients with amygdalar descent that may be caused by a variety of factors. In contrast, patients presenting...
Adult Logistic Models Decision Trees Diagnosis, Differential Cephalometry Humans Encephalocele Neuroimaging Machine Learning Foramen Magnum Arnold-Chiari Malformation Skull Base Amygdala
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Use of automated learning techniques for predicting mandibular morphology in skeletal class I, II and III.

Forensic science international Oct 12, 2017
BACKGROUND: The prediction of the mandibular bone morphology in facial reconstruction for forensic purposes is usually performed considering a straight profile corresponding to skeletal class I, with application of linear and parametric analysis whic...
Humans Neural Networks, Computer Female Malocclusion Adolescent Regression Analysis Mandible Anatomic Landmarks Support Vector Machine Cephalometry Young Adult Adult Male
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An automatic method for skeletal patterns classification using craniomaxillary variables on a Colombian population.

Forensic science international Dec 25, 2015
BACKGROUND: The mandibular bone is an important part of the forensic facial reconstruction and it has the possibility of getting lost in skeletonized remains; for this reason, it is necessary to facilitate the identification process simulating the ma...
Colombia Female Male Skull Support Vector Machine Adolescent Humans Young Adult Forensic Anthropology Image Processing, Computer-Assisted Prospective Studies Adult Anatomic Landmarks Cephalometry
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