AIMC Topic: White Matter
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Image quality assessment and white matter hyperintensity quantification in two accelerated high-resolution 3D FLAIR techniques: Wave-CAIPI and deep learning-based SPACE.
Clinical radiology
Dec 19, 2024
AIM: To compare the image quality obtained using two accelerated high-resolution 3D fluid-attenuated inversion recovery (FLAIR) techniques for the brain-deep learning-reconstruction SPACE (DL-SPACE) and Wave-CAIPI FLAIR.
Automated Segmentation of MRI White Matter Hyperintensities in 8421 Patients with Acute Ischemic Stroke.
AJNR. American journal of neuroradiology
Dec 9, 2024
BACKGROUND AND PURPOSE: To date, only a few small studies have attempted deep learning-based automatic segmentation of white matter hyperintensity (WMH) lesions in patients with cerebral infarction; this issue is complicated because stroke-related le...
Portable, low-field magnetic resonance imaging for evaluation of Alzheimer's disease.
Nature communications
Dec 2, 2024
Portable, low-field magnetic resonance imaging (LF-MRI) of the brain may facilitate point-of-care assessment of patients with Alzheimer's disease (AD) in settings where conventional MRI cannot. However, image quality is limited by a lower signal-to-n...
Structural-based uncertainty in deep learning across anatomical scales: Analysis in white matter lesion segmentation.
Computers in biology and medicine
Nov 15, 2024
This paper explores uncertainty quantification (UQ) as an indicator of the trustworthiness of automated deep-learning (DL) tools in the context of white matter lesion (WML) segmentation from magnetic resonance imaging (MRI) scans of multiple sclerosi...
Grade prediction of lesions in cerebral white matter using a convolutional neural network.
PloS one
Nov 11, 2024
We established a diagnostic method for cerebral white matter lesions using MRI images and examined the relationship between the MRI images and the medical checkup data. There were approximately 25 MRI images for each patient's head, from the top of t...
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...
Leukoencephalopathies
Ischemic Stroke
Image Interpretation, Computer-Assisted
White Matter
Retinal Vessels
Risk Factors
Aged
Cross-Sectional Studies
Male
Humans
Retrospective Studies
Female
Middle Aged
Reproducibility of Results
Risk Assessment
Deep Learning
Magnetic Resonance Imaging
Predictive Value of Tests
Accelerating FLAIR imaging via deep learning reconstruction: potential for evaluating white matter hyperintensities.
Japanese journal of radiology
Sep 24, 2024
PURPOSE: To evaluate deep learning-reconstructed (DLR)-fluid-attenuated inversion recovery (FLAIR) images generated from undersampled data, compare them with fully sampled and rapidly acquired FLAIR images, and assess their potential for white matter...
Deep learning for efficient reconstruction of highly accelerated 3D FLAIR MRI in neurological deficits.
Magma (New York, N.Y.)
Aug 30, 2024
OBJECTIVE: To compare compressed sensing (CS) and the Cascades of Independently Recurrent Inference Machines (CIRIM) with respect to image quality and reconstruction times when 12-fold accelerated scans of patients with neurological deficits are reco...
Child, Preschool
Child
Imaging, Three-Dimensional
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
White Matter
Male
Humans
Middle Aged
Image Interpretation, Computer-Assisted
Algorithms
Female
Deep Learning
Artifacts
Brain
Reproducibility of Results
Adolescent
Signal-To-Noise Ratio
Aged
Nervous System Diseases
Young Adult
Adult
Accurate low and high grade glioma classification using free water eliminated diffusion tensor metrics and ensemble machine learning.
Scientific reports
Aug 27, 2024
Glioma, a predominant type of brain tumor, can be fatal. This necessitates an early diagnosis and effective treatment strategies. Current diagnosis is based on biopsy, prompting the need for non invasive neuroimaging alternatives. Diffusion tensor im...
Deep learning-based segmentation in MRI-(immuno)histological examination of myelin and axonal damage in normal-appearing white matter and white matter hyperintensities.
Brain pathology (Zurich, Switzerland)
Aug 23, 2024
The major vascular cause of dementia is cerebral small vessel disease (SVD). Its diagnosis relies on imaging hallmarks, such as white matter hyperintensities (WMH). WMH present a heterogenous pathology, including myelin and axonal loss. Yet, these mi...
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