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Multi-level calcification of intervertebral disc and ossification of posterior longitudinal ligament in a five-year-old child.
Asian J Surg
August 2024
Department of Orthopedics, Northen Jiangsu People's Hospital, Yangzhou, 225001, Jiangsu province, China. Electronic address:
A latent code based multi-variable modulation network for susceptibility mapping.
Front Neurosci
December 2023
Department of Electronic Science, Xiamen University, Xiamen, China.
Quantitative susceptibility mapping (QSM) is a technique for obtaining quantitative information on tissue susceptibility and has shown promising potential for clinical applications, in which the magnetic susceptibility is calculated by solving an ill-posed inverse problem. Recently, deep learning-based methods are proposed to address this issue, but the diversity of data distribution was not well considered, and thus the model generalization is limited in clinical applications. In this paper, we propose a Latent Code based Multi-Variable modulation network for QSM reconstruction (LCMnet).
View Article and Find Full Text PDFDLFFNet: A new dynamical local feature fusion network for automatic aortic valve calcification recognition using echocardiography.
Comput Methods Programs Biomed
January 2024
Key Laboratory of Intelligent Computing in Medical Image, Ministry of Education, Northeastern University, China; Computer Science and Engineering, Northeastern University, Shenyang, China; National Frontiers Science Center for Industrial Intelligence and Systems Optimization, China.
Background And Objective: Aortic valve calcification (AVC) is a strong predictor of adverse cardiovascular events and is correlated with the degree of coronary artery stenosis. Generally, AVC is identified by echocardiography using visual "eyeballing", which results in huge differences between observers and requires a long time to learn. Therefore, accurately identifying AVC from echocardiographic images is a challenging task due to the interference of various factors.
View Article and Find Full Text PDFMulti-Level Approach for Comprehensive Enamel Phenotyping.
Curr Protoc
January 2022
Laboratory of Transgenic Models of Diseases, Institute of Molecular Genetics of the Czech Academy of Sciences, Prague, Czech Republic.
Enamel is the hardest tissue in mammalian organisms and is the layer covering the tooth. It consists of hydroxyapatite (HAP) crystallites, which mineralize on a protein scaffold known as the enamel matrix. Enamel matrix assembly is a very complex process mediated by enamel matrix proteins (EMPs).
View Article and Find Full Text PDFBone up: craniomandibular development and hard-tissue biomineralization in neonate mice.
Zoology (Jena)
October 2017
Department of Biological Sciences, University of Notre Dame, Notre Dame, IN 46556, USA; Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA; Department of Anthropology, University of Notre Dame, Notre Dame, IN 46556, USA. Electronic address:
The presence of regional variation in the osteogenic abilities of cranial bones underscores the fact that the mechanobiology of the mammalian skull is more complex than previously recognized. However, the relationship between patterns of cranial bone formation and biomineralization remains incompletely understood. In four strains of mice, micro-computed tomography was used to measure tissue mineral density during perinatal development in three skull regions (calvarium, basicranium, mandible) noted for variation in loading environment, embryological origin, and ossification mode.
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