AIMC Topic: Cranial Sutures

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Convolutional neural network-based classification of craniosynostosis and suture lines from multi-view cranial X-rays.

Scientific reports Nov 5, 2024
Early and precise diagnosis of craniosynostosis (CSO), which involves premature fusion of cranial sutures in infants, is crucial for effective treatment. Although computed topography offers detailed imaging, its high radiation poses risks, especially...
Cranial Sutures Infant Skull Deep Learning X-Rays Image Processing, Computer-Assisted Craniosynostoses Humans Neural Networks, Computer Female Male
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MR Cranial Bone Imaging: Evaluation of Both Motion-Corrected and Automated Deep Learning Pseudo-CT Estimated MR Images.

AJNR. American journal of neuroradiology Sep 9, 2024
BACKGROUND AND PURPOSE: CT imaging exposes patients to ionizing radiation. MR imaging is radiation free but previously has not been able to produce diagnostic-quality images of bone on a timeline suitable for clinical use. We developed automated moti...
Child Magnetic Resonance Imaging Adolescent Child, Preschool Skull Cranial Sutures Skull Fractures Motion Female Sensitivity and Specificity Male Deep Learning Humans Tomography, X-Ray Computed
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Prediction of midpalatal suture maturation stage based on transfer learning and enhanced vision transformer.

BMC medical informatics and decision making Aug 22, 2024
BACKGROUND: Maxillary expansion is an important treatment method for maxillary transverse hypoplasia. Different methods of maxillary expansion should be carried out depending on the midpalatal suture maturation levels, and the diagnosis was validated...
Palatal Expansion Technique Cranial Sutures Humans Neural Networks, Computer Cone-Beam Computed Tomography Palate Machine Learning
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Convolutional neural network-assisted diagnosis of midpalatal suture maturation stage in cone-beam computed tomography.

Journal of dentistry Dec 13, 2023
OBJECTIVES: The selection of treatment for maxillary expansion is closely related to the calcification degree of the midpalatal suture. A classification method for individual assessment of the morphology of midpalatal suture in cone-beam computed tom...
Maxilla Palatal Expansion Technique Cranial Sutures Neural Networks, Computer Cone-Beam Computed Tomography Artificial Intelligence Sutures
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Automated classification of midpalatal suture maturation stages from CBCTs using an end-to-end deep learning framework.

Scientific reports May 29, 2025
Accurate classification of midpalatal suture maturation stages is critical for orthodontic diagnosis, treatment planning, and the assessment of maxillary growth. Cone Beam Computed Tomography (CBCT) imaging offers detailed insights into this craniofa...
Humans Cone-Beam Computed Tomography Image Processing, Computer-Assisted Cranial Sutures Neural Networks, Computer Deep Learning
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Age Estimation by Machine Learning and CT-Multiplanar Reformation of Cranial Sutures in Northern Chinese Han Adults.

Fa yi xue za zhi Apr 25, 2024
OBJECTIVES: To establish age estimation models of northern Chinese Han adults using cranial suture images obtained by CT and multiplanar reformation (MPR), and to explore the applicability of cranial suture closure rule in age estimation of northern ...
East Asian People Tomography, X-Ray Computed Bayes Theorem Female Ethnicity Humans Linear Models Adult Imaging, Three-Dimensional Machine Learning Aged Male Forensic Anthropology Image Processing, Computer-Assisted Aged, 80 and over Retrospective Studies Middle Aged Skull Cranial Sutures Age Determination by Skeleton China
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