AIMC Topic: Diffusion Magnetic Resonance Imaging

Clear Filters Showing 211 to 220 of 338 articles

Tissue at Risk and Ischemic Core Estimation Using Deep Learning in Acute Stroke.

AJNR. American journal of neuroradiology Mar 25, 2021
BACKGROUND AND PURPOSE: In acute stroke patients with large vessel occlusions, it would be helpful to be able to predict the difference in the size and location of the final infarct based on the outcome of reperfusion therapy. Our aim was to demonstr...
Female Aged Male Middle Aged Humans Reperfusion Deep Learning Diffusion Magnetic Resonance Imaging Stroke Brain Ischemia
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Deep learning based segmentation of brain tissue from diffusion MRI.

NeuroImage Mar 16, 2021
Segmentation of brain tissue types from diffusion MRI (dMRI) is an important task, required for quantification of brain microstructure and for improving tractography. Current dMRI segmentation is mostly based on anatomical MRI (e.g., T1- and T2-weigh...
Connectome Diffusion Tensor Imaging Diffusion Magnetic Resonance Imaging Brain Female Young Adult Deep Learning Adolescent Adult Male Humans Databases, Factual
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TractLearn: A geodesic learning framework for quantitative analysis of brain bundles.

NeuroImage Mar 6, 2021
Deep learning-based convolutional neural networks have recently proved their efficiency in providing fast segmentation of major brain fascicles structures, based on diffusion-weighted imaging. The quantitative analysis of brain fascicles then relies ...
Humans Neural Networks, Computer Machine Learning Data Analysis Adolescent Cohort Studies Brain Concussion Diffusion Magnetic Resonance Imaging Brain Young Adult Male
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Diffusion histology imaging differentiates distinct pediatric brain tumor histology.

Scientific reports Feb 26, 2021
High-grade pediatric brain tumors exhibit the highest cancer mortality rates in children. While conventional MRI has been widely adopted for examining pediatric high-grade brain tumors clinically, accurate neuroimaging detection and differentiation o...
Diffusion Magnetic Resonance Imaging Brain Neoplasms Male Adolescent Neoplasm Grading White Matter Child ROC Curve Humans Neural Networks, Computer Female
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Quantification of intravoxel incoherent motion with optimized b-values using deep neural network.

Magnetic resonance in medicine Feb 16, 2021
PURPOSE: To develop a framework for quantifying intravoxel incoherent motion (IVIM) parameters, where a neural network for quantification and b-values for diffusion-weighted imaging are simultaneously optimized.
Diffusion Magnetic Resonance Imaging Motion Perfusion Healthy Volunteers Humans Neural Networks, Computer
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Classification of paediatric brain tumours by diffusion weighted imaging and machine learning.

Scientific reports Feb 4, 2021
To determine if apparent diffusion coefficients (ADC) can discriminate between posterior fossa brain tumours on a multicentre basis. A total of 124 paediatric patients with posterior fossa tumours (including 55 Medulloblastomas, 36 Pilocytic Astrocyt...
Pediatrics Diffusion Magnetic Resonance Imaging Astrocytoma Cerebellar Neoplasms Adolescent Child, Preschool Child Medulloblastoma Ependymoma Humans Machine Learning Male Infant Female Brain Neoplasms
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Repeatability of IVIM biomarkers from diffusion-weighted MRI in head and neck: Bayesian probability versus neural network.

Magnetic resonance in medicine Jan 26, 2021
PURPOSE: The intravoxel incoherent motion (IVIM) model for DWI might provide useful biomarkers for disease management in head and neck cancer. This study compared the repeatability of three IVIM fitting methods to the conventional nonlinear least-squ...
Neural Networks, Computer Biomarkers Humans Diffusion Magnetic Resonance Imaging Reproducibility of Results Bayes Theorem Motion
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Impact of the reperfusion status for predicting the final stroke infarct using deep learning.

NeuroImage. Clinical Dec 25, 2020
BACKGROUND: Predictive maps of the final infarct may help therapeutic decisions in acute ischemic stroke patients. Our objectives were to assess whether integrating the reperfusion status into deep learning models would improve their performance, and...
Infarction Brain Ischemia Reperfusion Diffusion Magnetic Resonance Imaging Humans Deep Learning Stroke
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Structural Brain Network Abnormalities and the Probability of Seizure Recurrence After Epilepsy Surgery.

Neurology Dec 22, 2020
OBJECTIVE: We assessed preoperative structural brain networks and clinical characteristics of patients with drug-resistant temporal lobe epilepsy (TLE) to identify correlates of postsurgical seizure recurrences.
Support Vector Machine Magnetic Resonance Imaging Postoperative Period Preoperative Period Middle Aged Case-Control Studies Treatment Outcome Drug Resistant Epilepsy Diffusion Magnetic Resonance Imaging Anterior Temporal Lobectomy Neural Pathways Epilepsy, Temporal Lobe Recurrence Humans Machine Learning Brain Female Adult Male
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Estimating myelin-water content from anatomical and diffusion images using spatially undersampled myelin-water imaging through machine learning.

NeuroImage Dec 8, 2020
Myelin is vital for healthy neuronal development, and can therefore provide valuable information regarding neuronal maturation. Anatomical and diffusion weighted images (DWI) possess information related to the myelin content and the current study inv...
Image Interpretation, Computer-Assisted Body Water Neuroimaging Diffusion Magnetic Resonance Imaging Adult Magnetic Resonance Imaging Humans Myelin Sheath Neural Networks, Computer Machine Learning Brain
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