AIMC Topic: Lateral Ventricles

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Sex-related differences and associated transcriptional signatures in the brain ventricular system and cerebrospinal fluid development in full-term neonates.

Biology of sex differences May 25, 2025
BACKGROUND: The cerebrospinal fluid (CSF) is known to serve as a unique environment for neurodevelopment, with specific proteins secreted by epithelial cells of the choroid plexus (CP) playing crucial roles in cortical development and cell differenti...
Male Transcriptome Magnetic Resonance Imaging Female Infant, Newborn Cerebral Ventricles Lateral Ventricles Choroid Plexus Cerebrospinal Fluid Sex Characteristics Humans Brain
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High-level feature-guided attention optimized neural network for neonatal lateral ventricular dilatation prediction.

Medical physics Aug 27, 2024
BACKGROUND: Periventricular-intraventricular hemorrhage can lead to posthemorrhagic ventricular dilatation or even posthemorrhagic hydrocephalus if not detected promptly. Sequential cranial ultrasound scans are typically used for their diagnoses. Non...
Ultrasonography Image Processing, Computer-Assisted Lateral Ventricles Infant, Newborn Dilatation, Pathologic Humans Neural Networks, Computer
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Machine learning in prenatal MRI predicts postnatal ventricular abnormalities in fetuses with isolated ventriculomegaly.

European radiology May 10, 2024
OBJECTIVES: To evaluate the intracranial structures and brain parenchyma radiomics surrounding the occipital horn of the lateral ventricle in normal fetuses (NFs) and fetuses with ventriculomegaly (FVs), as well as to predict postnatally enlarged lat...
Adult Male Magnetic Resonance Imaging Female Infant, Newborn Prenatal Diagnosis Cerebral Ventricles Lateral Ventricles Predictive Value of Tests Hydrocephalus Humans Retrospective Studies Pregnancy Machine Learning
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Eliminating the need for manual segmentation to determine size and volume from MRI. A proof of concept on segmenting the lateral ventricles.

PloS one May 11, 2023
Manual segmentation, which is tedious, time-consuming, and operator-dependent, is currently used as the gold standard to validate automatic and semiautomatic methods that quantify geometries from 2D and 3D MR images. This study examines the accuracy ...
Lateral Ventricles Image Processing, Computer-Assisted Magnetic Resonance Imaging Infant Imaging, Three-Dimensional Humans Algorithms Reproducibility of Results Artificial Intelligence
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Automated Lateral Ventricular and Cranial Vault Volume Measurements in 13,851 Patients Using Deep Learning Algorithms.

World neurosurgery Jan 6, 2021
BACKGROUND: No large dataset-derived standard has been established for normal or pathologic human cerebral ventricular and cranial vault volumes. Automated volumetric measurements could be used to assist in diagnosis and follow-up of hydrocephalus or...
Child, Preschool Child Cephalometry Hydrocephalus Natural Language Processing Deep Learning Retrospective Studies Adolescent Humans Tomography, X-Ray Computed Male Lateral Ventricles Young Adult Female Middle Aged Aged Adult Algorithms Neuroimaging Skull Aged, 80 and over Models, Biological Brain Atrophy Datasets as Topic Cross-Sectional Studies
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Simultaneous Tissue Classification and Lateral Ventricle Segmentation via a 2D U-net Driven by a 3D Fully Convolutional Neural Network.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
In this paper, we proposed and validated a novel and fully automatic pipeline for simultaneous tissue classification and lateral ventricle segmentation via a 2D U-net. The 2D U-net was driven by a 3D fully convolutional neural network (FCN). Multiple...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Lateral Ventricles Humans Gray Matter Imaging, Three-Dimensional Neural Networks, Computer
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