AIMC Journal:
Magnetic resonance in medicine

Showing 161 to 170 of 217 articles

Submillimeter MR fingerprinting using deep learning-based tissue quantification.

Magnetic resonance in medicine Dec 19, 2019
PURPOSE: To develop a rapid 2D MR fingerprinting technique with a submillimeter in-plane resolution using a deep learning-based tissue quantification approach.
Adult Deep Learning Child Magnetic Resonance Imaging Neuroimaging Humans Algorithms Brain
View on PubMed DOI

Optimizing MRF-ASL scan design for precise quantification of brain hemodynamics using neural network regression.

Magnetic resonance in medicine Nov 21, 2019
PURPOSE: Arterial Spin Labeling (ASL) is a quantitative, non-invasive alternative for perfusion imaging that does not use contrast agents. The magnetic resonance fingerprinting (MRF) framework can be adapted to ASL to estimate multiple physiological ...
Phantoms, Imaging Cerebrovascular Circulation Humans Blood Volume Hemodynamics Neural Networks, Computer Brain Image Processing, Computer-Assisted Magnetic Resonance Imaging Image Enhancement
View on PubMed DOI

Accuracy, uncertainty, and adaptability of automatic myocardial ASL segmentation using deep CNN.

Magnetic resonance in medicine Nov 14, 2019
PURPOSE: To apply deep convolution neural network to the segmentation task in myocardial arterial spin labeled perfusion imaging and to develop methods that measure uncertainty and that adapt the convolution neural network model to a specific false-p...
Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Myocardium Humans Uncertainty
View on PubMed DOI

FatSegNet: A fully automated deep learning pipeline for adipose tissue segmentation on abdominal dixon MRI.

Magnetic resonance in medicine Oct 21, 2019
PURPOSE: Introduce and validate a novel, fast, and fully automated deep learning pipeline (FatSegNet) to accurately identify, segment, and quantify visceral and subcutaneous adipose tissue (VAT and SAT) within a consistent, anatomically defined abdom...
Reproducibility of Results Deep Learning Cohort Studies Magnetic Resonance Imaging Prospective Studies Adipose Tissue
View on PubMed DOI

Deep learning-based MR-to-CT synthesis: The influence of varying gradient echo-based MR images as input channels.

Magnetic resonance in medicine Oct 8, 2019
PURPOSE: To study the influence of gradient echo-based contrasts as input channels to a 3D patch-based neural network trained for synthetic CT (sCT) generation in canine and human populations.
Dogs Animals Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted Tomography, X-Ray Computed Magnetic Resonance Imaging
View on PubMed DOI

A deep learning method for image-based subject-specific local SAR assessment.

Magnetic resonance in medicine Sep 4, 2019
PURPOSE: Local specific absorption rate (SAR) cannot be measured and is usually evaluated by offline numerical simulations using generic body models that of course will differ from the patient's anatomy. An additional safety margin is needed to inclu...
Magnetic Resonance Imaging Models, Statistical Prostatic Neoplasms Prostate Reproducibility of Results Male Deep Learning Image Processing, Computer-Assisted Healthy Volunteers Signal-To-Noise Ratio Phantoms, Imaging Humans Neural Networks, Computer Algorithms Databases, Factual Computer Simulation
View on PubMed DOI

Unsupervised learning of a deep neural network for metal artifact correction using dual-polarity readout gradients.

Magnetic resonance in medicine Aug 12, 2019
PURPOSE: A new unsupervised learning method was developed to correct metal artifacts in MRI using 2 distorted images obtained with dual-polarity readout gradients.
Phantoms, Imaging Humans Neural Networks, Computer Algorithms Magnetic Resonance Imaging Reproducibility of Results Models, Statistical Deep Learning Unsupervised Machine Learning Metals Artifacts Image Processing, Computer-Assisted
View on PubMed DOI

Deep learning how to fit an intravoxel incoherent motion model to diffusion-weighted MRI.

Magnetic resonance in medicine Aug 7, 2019
PURPOSE: This prospective clinical study assesses the feasibility of training a deep neural network (DNN) for intravoxel incoherent motion (IVIM) model fitting to diffusion-weighted MRI (DW-MRI) data and evaluates its performance.
Humans Algorithms Prospective Studies Computer Simulation Reproducibility of Results Adult Male Image Interpretation, Computer-Assisted Liver Pancreas Bayes Theorem Middle Aged Spleen Least-Squares Analysis Deep Learning Diffusion Magnetic Resonance Imaging Motion Image Processing, Computer-Assisted Kidney
View on PubMed DOI

MRI Gibbs-ringing artifact reduction by means of machine learning using convolutional neural networks.

Magnetic resonance in medicine Aug 2, 2019
PURPOSE: To develop a machine learning approach using convolutional neural network for reducing MRI Gibbs-ringing artifact.
Phantoms, Imaging Knee Diffusion Magnetic Resonance Imaging Machine Learning Artifacts Brain Neoplasms Algorithms Neuroimaging Image Processing, Computer-Assisted Brain Signal-To-Noise Ratio Humans Signal Processing, Computer-Assisted Connectome Neural Networks, Computer Diffusion
View on PubMed DOI

Fast and accurate reconstruction of human lung gas MRI with deep learning.

Magnetic resonance in medicine Jul 19, 2019
PURPOSE: To fast and accurately reconstruct human lung gas MRI from highly undersampled k-space using deep learning.
Tuberculosis, Pulmonary Healthy Volunteers Smoking Respiration Xenon Isotopes Image Processing, Computer-Assisted Signal-To-Noise Ratio Female Inflammation Reproducibility of Results Bronchiectasis Magnetic Resonance Imaging Aged Fourier Analysis Humans Solitary Pulmonary Nodule Young Adult Protons Middle Aged Algorithms Lung Prospective Studies Deep Learning Retrospective Studies Adult Imaging, Three-Dimensional Pulmonary Disease, Chronic Obstructive Asthma Male
View on PubMed DOI
Popular Topics
Popular Journals