AIMC Topic: Leukoencephalopathies

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Intelligent cholinergic white matter pathways algorithm based on U-net reflects cognitive impairment in patients with silent cerebrovascular disease.

Stroke and vascular neurology Dec 30, 2024
BACKGROUND AND OBJECTIVE: The injury of the cholinergic white matter pathway underlies cognition decline in patients with silent cerebrovascular disease (SCD) with white matter hyperintensities (WMH) of vascular origin. However, the evaluation of the...
Magnetic Resonance Imaging Aged Predictive Value of Tests Aged, 80 and over Cerebrovascular Disorders Middle Aged Cognitive Dysfunction Deep Learning Cognition Male Cholinergic Neurons Algorithms Leukoencephalopathies Humans Image Interpretation, Computer-Assisted Cholinergic Fibers White Matter Female Reproducibility of Results
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Evaluating retinal blood vessels for predicting white matter hyperintensities in ischemic stroke: A deep learning approach.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Oct 10, 2024
OBJECTIVE: This study aims to investigate whether a deep learning approach incorporating retinal blood vessels can effectively identify ischemic stroke patients with a high burden of White Matter Hyperintensities (WMH) using Nuclear Magnetic Resonanc...
Risk Assessment Deep Learning Magnetic Resonance Imaging Male Middle Aged Image Interpretation, Computer-Assisted White Matter Retinal Vessels Predictive Value of Tests Ischemic Stroke Female Reproducibility of Results Aged Cross-Sectional Studies Risk Factors Humans Leukoencephalopathies Retrospective Studies
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A deep learning algorithm for white matter hyperintensity lesion detection and segmentation.

Neuroradiology Oct 2, 2021
PURPOSE: White matter hyperintensity (WMHI) lesions on MR images are an important indication of various types of brain diseases that involve inflammation and blood vessel abnormalities. Automated quantification of the WMHI can be valuable for the cli...
Leukoencephalopathies White Matter Leukoaraiosis Humans Algorithms Deep Learning Magnetic Resonance Imaging Brain
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Lesion probability mapping in MS patients using a regression network on MR fingerprinting.

BMC medical imaging Jul 8, 2021
BACKGROUND: To develop a regression neural network for the reconstruction of lesion probability maps on Magnetic Resonance Fingerprinting using echo-planar imaging (MRF-EPI) in addition to [Formula: see text], [Formula: see text], NAWM, and GM- proba...
Humans Deep Learning Brain Mapping White Matter Neural Networks, Computer Probability Echo-Planar Imaging Leukoencephalopathies Multiple Sclerosis
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Agreement between neuroimages and reports for natural language processing-based detection of silent brain infarcts and white matter disease.

BMC neurology May 11, 2021
BACKGROUND: There are numerous barriers to identifying patients with silent brain infarcts (SBIs) and white matter disease (WMD) in routine clinical care. A natural language processing (NLP) algorithm may identify patients from neuroimaging reports, ...
Humans Leukoencephalopathies Female Male Image Interpretation, Computer-Assisted Reproducibility of Results Middle Aged Aged Neuroimaging Cohort Studies Magnetic Resonance Imaging Brain Infarction Natural Language Processing
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Machine Learning and Multiparametric Brain MRI to Differentiate Hereditary Diffuse Leukodystrophy with Spheroids from Multiple Sclerosis.

Journal of neuroimaging : official journal of the American Society of Neuroimaging May 26, 2020
BACKGROUND AND PURPOSE: Hereditary diffuse leukoencephalopathy with spheroids (HDLS) and multiple sclerosis (MS) are demyelinating and neurodegenerative disorders that can be hard to distinguish clinically and radiologically. HDLS is a rare disorder ...
Leukoencephalopathies Aged Adult Diagnosis, Differential Brain Middle Aged Male Multiple Sclerosis Humans Female Magnetic Resonance Imaging Machine Learning
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