AIMC Journal:
Magnetic resonance in medicine

Showing 171 to 180 of 217 articles

k-Space deep learning for reference-free EPI ghost correction.

Magnetic resonance in medicine Jul 18, 2019
PURPOSE: Nyquist ghost artifacts in echo planar imaging (EPI) are originated from phase mismatch between the even and odd echoes. However, conventional correction methods using reference scans often produce erroneous results especially in high-field ...
Neural Networks, Computer Algorithms Brain Reproducibility of Results Humans Radionuclide Imaging Phantoms, Imaging Echo-Planar Imaging Magnetic Resonance Imaging Artifacts Image Enhancement Deep Learning Signal-To-Noise Ratio Image Processing, Computer-Assisted Models, Theoretical
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Using an artificial neural network for fast mapping of the oxygen extraction fraction with combined QSM and quantitative BOLD.

Magnetic resonance in medicine Jul 4, 2019
PURPOSE: To apply an artificial neural network (ANN) for fast and robust quantification of the oxygen extraction fraction (OEF) from a combined QSM and quantitative BOLD analysis of gradient echo data and to compare the ANN to a traditional quasi-New...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Humans Oxygen Gray Matter Oxygen Consumption Female Neural Networks, Computer White Matter Brain Adult Least-Squares Analysis Cerebrovascular Circulation Computer Simulation Male Positron-Emission Tomography Normal Distribution Healthy Volunteers
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SmartPulse, a machine learning approach for calibration-free dynamic RF shimming: Preliminary study in a clinical environment.

Magnetic resonance in medicine Jun 30, 2019
PURPOSE: A calibration-free pulse design method is introduced to alleviate artifacts in clinical routine with parallel transmission at high field, dealing with significant inter-subject variability, found for instance in the abdomen.
Radio Waves Abdomen Body Mass Index Magnetic Resonance Imaging Cluster Analysis Image Interpretation, Computer-Assisted Artifacts Calibration Adult Male Humans Middle Aged Aged Image Processing, Computer-Assisted Machine Learning Aged, 80 and over Algorithms Young Adult Female Reproducibility of Results
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SANTIS: Sampling-Augmented Neural neTwork with Incoherent Structure for MR image reconstruction.

Magnetic resonance in medicine Jun 5, 2019
PURPOSE: To develop and evaluate a novel deep learning-based reconstruction framework called SANTIS (Sampling-Augmented Neural neTwork with Incoherent Structure) for efficient MR image reconstruction with improved robustness against sampling pattern ...
Contrast Media Magnetic Resonance Imaging Liver Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Knee Gadolinium DTPA
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Deep residual network for off-resonance artifact correction with application to pediatric body MRA with 3D cones.

Magnetic resonance in medicine May 22, 2019
PURPOSE: To enable rapid imaging with a scan time-efficient 3D cones trajectory with a deep-learning off-resonance artifact correction technique.
Female Male Deep Learning Child, Preschool Magnetic Resonance Angiography Humans Child Phantoms, Imaging Imaging, Three-Dimensional Pulmonary Veins Artifacts
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Highly accelerated multishot echo planar imaging through synergistic machine learning and joint reconstruction.

Magnetic resonance in medicine May 20, 2019
PURPOSE: To introduce a combined machine learning (ML)- and physics-based image reconstruction framework that enables navigator-free, highly accelerated multishot echo planar imaging (msEPI) and demonstrate its application in high-resolution structur...
Image Processing, Computer-Assisted Echo-Planar Imaging Machine Learning Algorithms Humans Brain
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Retrospective correction of motion-affected MR images using deep learning frameworks.

Magnetic resonance in medicine May 13, 2019
PURPOSE: Motion is 1 extrinsic source for imaging artifacts in MRI that can strongly deteriorate image quality and, thus, impair diagnostic accuracy. In addition to involuntary physiological motion such as respiration and cardiac motion, intended and...
Young Adult Adult Male Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Head Humans Female Head Movements
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Network Accelerated Motion Estimation and Reduction (NAMER): Convolutional neural network guided retrospective motion correction using a separable motion model.

Magnetic resonance in medicine May 2, 2019
PURPOSE: We introduce and validate a scalable retrospective motion correction technique for brain imaging that incorporates a machine learning component into a model-based motion minimization.
Magnetic Resonance Imaging Brain Artifacts Movement Computer Simulation Humans Deep Learning Neural Networks, Computer Image Processing, Computer-Assisted
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Separation of water and fat signal in whole-body gradient echo scans using convolutional neural networks.

Magnetic resonance in medicine Apr 29, 2019
PURPOSE: To perform and evaluate water-fat signal separation of whole-body gradient echo scans using convolutional neural networks.
Adipose Tissue Middle Aged Body Water Humans Image Processing, Computer-Assisted Whole Body Imaging Neural Networks, Computer Magnetic Resonance Imaging Algorithms Liver
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Conditional generative adversarial network for 3D rigid-body motion correction in MRI.

Magnetic resonance in medicine Apr 22, 2019
PURPOSE: Subject motion in MRI remains an unsolved problem; motion during image acquisition may cause blurring and artifacts that severely degrade image quality. In this work, we approach motion correction as an image-to-image translation problem, wh...
Magnetic Resonance Imaging Movement Humans Neural Networks, Computer Brain Imaging, Three-Dimensional
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