AIMC Journal:
Magnetic resonance in medicine

Showing 181 to 190 of 217 articles

Task-based assessment of a convolutional neural network for segmenting breast lesions for radiomic analysis.

Magnetic resonance in medicine Apr 8, 2019
PURPOSE: Radiomics allows for powerful data-mining and feature extraction techniques to guide clinical decision making. Image segmentation is a necessary step in such pipelines and different techniques can significantly affect results. We demonstrate...
Humans Neural Networks, Computer Magnetic Resonance Imaging Radiologists Breast Image Interpretation, Computer-Assisted Databases, Factual Female Breast Neoplasms
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Ultrafast (milliseconds), multidimensional RF pulse design with deep learning.

Magnetic resonance in medicine Mar 30, 2019
PURPOSE: Some advanced RF pulses, like multidimensional RF pulses, are often long and require substantial computation time because of a number of constraints and requirements, sometimes hampering clinical use. However, the pulses offer opportunities ...
Male Deep Learning Time Factors Radio Waves Magnetic Resonance Imaging Phantoms, Imaging Humans Databases, Factual
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Intact metabolite spectrum mining by deep learning in proton magnetic resonance spectroscopy of the brain.

Magnetic resonance in medicine Mar 12, 2019
PURPOSE: To develop a robust method for brain metabolite quantification in proton magnetic resonance spectroscopy ( H-MRS) using a convolutional neural network (CNN) that maps in vivo brain spectra that are typically degraded by low SNR, line broaden...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Amino Acids Brain Young Adult Male Proton Magnetic Resonance Spectroscopy Protons gamma-Aminobutyric Acid Brain Chemistry Phantoms, Imaging Humans
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Dynamic MRI using model-based deep learning and SToRM priors: MoDL-SToRM.

Magnetic resonance in medicine Mar 12, 2019
PURPOSE: To introduce a novel framework to combine deep-learned priors along with complementary image regularization penalties to reconstruct free breathing & ungated cardiac MRI data from highly undersampled multi-channel measurements.
Humans Algorithms Magnetic Resonance Imaging Cardiac Imaging Techniques Databases, Factual Heart Respiration Deep Learning Image Processing, Computer-Assisted
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MANTIS: Model-Augmented Neural neTwork with Incoherent k-space Sampling for efficient MR parameter mapping.

Magnetic resonance in medicine Mar 12, 2019
PURPOSE: To develop and evaluate a novel deep learning-based image reconstruction approach called MANTIS (Model-Augmented Neural neTwork with Incoherent k-space Sampling) for efficient MR parameter mapping.
Magnetic Resonance Imaging Knee Joint Middle Aged Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Aged Female Male
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DeepCEST: 9.4 T Chemical exchange saturation transfer MRI contrast predicted from 3 T data - a proof of concept study.

Magnetic resonance in medicine Feb 25, 2019
PURPOSE: To determine the feasibility of employing the prior knowledge of well-separated chemical exchange saturation transfer (CEST) signals in the 9.4 T Z-spectrum to separate overlapping CEST signals acquired at 3 T, using a deep learning approach...
Magnetic Resonance Imaging Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Imaging, Three-Dimensional Proof of Concept Study Brain Contrast Media Brain Neoplasms
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Robust water-fat separation for multi-echo gradient-recalled echo sequence using convolutional neural network.

Magnetic resonance in medicine Feb 20, 2019
PURPOSE: To accurately separate water and fat signals for bipolar multi-echo gradient-recalled echo sequence using a convolutional neural network (CNN).
Humans Neural Networks, Computer Algorithms Image Processing, Computer-Assisted Body Water Magnetic Resonance Imaging Ankle Head Adipose Tissue Knee
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Development and clinical implementation of SeedNet: A sliding-window convolutional neural network for radioactive seed identification in MRI-assisted radiosurgery (MARS).

Magnetic resonance in medicine Feb 8, 2019
PURPOSE: To develop and evaluate a sliding-window convolutional neural network (CNN) for radioactive seed identification in MRI of the prostate after permanent implant brachytherapy.
Prostatic Neoplasms Prostate Brachytherapy Radiosurgery Magnetic Resonance Imaging, Interventional Retrospective Studies Male Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Automated selection of myocardial inversion time with a convolutional neural network: Spatial temporal ensemble myocardium inversion network (STEMI-NET).

Magnetic resonance in medicine Feb 3, 2019
PURPOSE: Delayed enhancement imaging is an essential component of cardiac MRI, which is used widely for the evaluation of myocardial scar and viability. The selection of an optimal inversion time (TI) or null point (TI ) to suppress the background my...
Humans Gadolinium Myocardium Neural Networks, Computer Male Contrast Media Aged Child Heart Middle Aged Pattern Recognition, Automated Magnetic Resonance Imaging Algorithms Aged, 80 and over Image Processing, Computer-Assisted Adolescent Young Adult Retrospective Studies Adult Female
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Parallel imaging in time-of-flight magnetic resonance angiography using deep multistream convolutional neural networks.

Magnetic resonance in medicine Jan 21, 2019
PURPOSE: To develop and evaluate a method of parallel imaging time-of-flight (TOF) MRA using deep multistream convolutional neural networks (CNNs).
Cerebral Angiography Humans Deep Learning Algorithms Image Processing, Computer-Assisted Brain Magnetic Resonance Angiography
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