AIMC Journal:
Magnetic resonance in medicine

Showing 201 to 210 of 217 articles

MR fingerprinting Deep RecOnstruction NEtwork (DRONE).

Magnetic resonance in medicine Apr 6, 2018
PURPOSE: Demonstrate a novel fast method for reconstruction of multi-dimensional MR Fingerprinting (MRF) data using Deep Learning methods.
Adult Male Deep Learning Image Processing, Computer-Assisted Algorithms Humans Brain Neural Networks, Computer Computer Simulation Reproducibility of Results Signal-To-Noise Ratio Models, Theoretical Monte Carlo Method Magnetic Resonance Imaging Phantoms, Imaging Healthy Volunteers Normal Distribution Neuroimaging
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Super-resolution musculoskeletal MRI using deep learning.

Magnetic resonance in medicine Mar 26, 2018
PURPOSE: To develop a super-resolution technique using convolutional neural networks for generating thin-slice knee MR images from thicker input slices, and compare this method with alternative through-plane interpolation methods.
Imaging, Three-Dimensional Magnetic Resonance Imaging Signal-To-Noise Ratio Osteoarthritis, Knee Humans Algorithms Deep Learning Pilot Projects Phantoms, Imaging Cartilage Diseases Knee
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Machine learning RF shimming: Prediction by iteratively projected ridge regression.

Magnetic resonance in medicine Mar 23, 2018
PURPOSE: To obviate online slice-by-slice RF shim optimization and reduce B1+ mapping requirements for patient-specific RF shimming in high-field magnetic resonance imaging.
Algorithms Databases, Factual Brain Computer Simulation Humans Head Phantoms, Imaging Image Processing, Computer-Assisted Magnetic Resonance Imaging Supervised Machine Learning
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A convolutional neural network to filter artifacts in spectroscopic MRI.

Magnetic resonance in medicine Mar 9, 2018
PURPOSE: Proton MRSI is a noninvasive modality capable of generating volumetric maps of in vivo tissue metabolism without the need for ionizing radiation or injected contrast agent. Magnetic resonance spectroscopic imaging has been shown to be a viab...
Brain Humans Algorithms Brain Neoplasms Magnetic Resonance Imaging Deep Learning Artifacts Image Processing, Computer-Assisted
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Deep learning with domain adaptation for accelerated projection-reconstruction MR.

Magnetic resonance in medicine Feb 4, 2018
Fourier Analysis Algorithms Tomography, X-Ray Computed Image Processing, Computer-Assisted Humans Reproducibility of Results Magnetic Resonance Imaging Neural Networks, Computer Deep Learning Liver Software Healthy Volunteers
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Deep learning approaches for detection and removal of ghosting artifacts in MR spectroscopy.

Magnetic resonance in medicine Feb 1, 2018
Image Processing, Computer-Assisted Healthy Volunteers Artifacts Gray Matter Algorithms Image Enhancement Brain Signal-To-Noise Ratio Computer Simulation Deep Learning Magnetic Resonance Spectroscopy Humans Neural Networks, Computer Normal Distribution
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Non-water-suppressed H FID-MRSI at 3T and 9.4T.

Magnetic resonance in medicine Dec 29, 2017
PURPOSE: This study investigates metabolite concentrations using metabolite-cycled H free induction decay (FID) magnetic resonance spectroscopic imaging (MRSI) at ultra-high fields.
Image Processing, Computer-Assisted Phantoms, Imaging Humans Magnetic Resonance Imaging Algorithms Signal Processing, Computer-Assisted Brain Aspartic Acid
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Artificial neural networks for stiffness estimation in magnetic resonance elastography.

Magnetic resonance in medicine Nov 28, 2017
PURPOSE: To investigate the feasibility of using artificial neural networks to estimate stiffness from MR elastography (MRE) data.
Brain Elastic Modulus Elasticity Imaging Techniques Computer Simulation Female Humans Reproducibility of Results Image Processing, Computer-Assisted Neural Networks, Computer Magnetic Resonance Imaging Aged Algorithms Liver Aged, 80 and over Regression Analysis Male Middle Aged
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Learning a variational network for reconstruction of accelerated MRI data.

Magnetic resonance in medicine Nov 8, 2017
PURPOSE: To allow fast and high-quality reconstruction of clinical accelerated multi-coil MR data by learning a variational network that combines the mathematical structure of variational models with deep learning.
Female Reproducibility of Results Aged Young Adult Adult Male Middle Aged Adolescent Machine Learning Algorithms Computer Simulation Retrospective Studies Humans Data Compression Image Processing, Computer-Assisted Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Linear Models
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Quality of clinical brain tumor MR spectra judged by humans and machine learning tools.

Magnetic resonance in medicine Oct 10, 2017
PURPOSE: To investigate and compare human judgment and machine learning tools for quality assessment of clinical MR spectra of brain tumors.
Image Interpretation, Computer-Assisted Humans Machine Learning Algorithms Brain Brain Neoplasms Magnetic Resonance Imaging Quality Control
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