AIMC Topic: Gadolinium

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Improvement of late gadolinium enhancement image quality using a deep learning-based reconstruction algorithm and its influence on myocardial scar quantification.

European radiology Nov 21, 2020
OBJECTIVES: The aim of this study was to assess the effect of a deep learning (DL)-based reconstruction algorithm on late gadolinium enhancement (LGE) image quality and to evaluate its influence on scar quantification.
Humans Algorithms Magnetic Resonance Imaging Cicatrix Myocardium Gadolinium Image Enhancement Female Male Deep Learning Contrast Media
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Estimation of Multiple Sclerosis lesion age on magnetic resonance imaging.

NeuroImage Oct 16, 2020
We introduce the first-ever statistical framework for estimating the age of Multiple Sclerosis (MS) lesions from magnetic resonance imaging (MRI). Estimating lesion age is an important step when studying the longitudinal behavior of MS lesions and ca...
Multiple Sclerosis Gadolinium Middle Aged Time Factors Contrast Media Magnetic Resonance Imaging Humans Reproducibility of Results Brain Machine Learning Adult Female Male
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Deep learning segmentation of gadolinium-enhancing lesions in multiple sclerosis.

Multiple sclerosis (Houndmills, Basingstoke, England) May 22, 2020
OBJECTIVE: The aim of this study is to assess the performance of deep learning convolutional neural networks (CNNs) in segmenting gadolinium-enhancing lesions using a large cohort of multiple sclerosis (MS) patients.
Multiple Sclerosis Gadolinium Humans Neural Networks, Computer Deep Learning Magnetic Resonance Imaging
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Deep complex convolutional network for fast reconstruction of 3D late gadolinium enhancement cardiac MRI.

NMR in biomedicine Apr 30, 2020
Several deep-learning models have been proposed to shorten MRI scan time. Prior deep-learning models that utilize real-valued kernels have limited capability to learn rich representations of complex MRI data. In this work, we utilize a complex-valued...
Female Male Middle Aged Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Neural Networks, Computer Magnetic Resonance Imaging Heart Gadolinium Numerical Analysis, Computer-Assisted
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Assessment of ventricular tachyarrhythmia in patients with hypertrophic cardiomyopathy with machine learning-based texture analysis of late gadolinium enhancement cardiac MRI.

Diagnostic and interventional imaging Nov 11, 2019
OBJECTIVE: To assess the diagnostic value of machine learning-based texture feature analysis of late gadolinium enhancement images on cardiac magnetic resonance imaging (MRI) for assessing the presence of ventricular tachyarrhythmia (VT) in patients ...
Magnetic Resonance Imaging Cardiomyopathy, Hypertrophic Gadolinium Image Enhancement Adult Male Middle Aged Contrast Media Tachycardia, Ventricular Cardiac Imaging Techniques Humans Machine Learning Retrospective Studies Female Aged Young Adult
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Detection and characterization of MRI breast lesions using deep learning.

Diagnostic and interventional imaging Mar 26, 2019
PURPOSE: The purpose of this study was to assess the potential of a deep learning model to discriminate between benign and malignant breast lesions using magnetic resonance imaging (MRI) and characterize different histological subtypes of breast lesi...
Datasets as Topic Gadolinium Deep Learning Contrast Media Magnetic Resonance Imaging Breast Humans Algorithms Female Breast Neoplasms
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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 Neural Networks, Computer Algorithms Adolescent Child Image Processing, Computer-Assisted Young Adult Contrast Media Adult Heart Retrospective Studies Magnetic Resonance Imaging Male Pattern Recognition, Automated Female Middle Aged Gadolinium Myocardium Aged Aged, 80 and over
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Development and testing of a deep learning-based strategy for scar segmentation on CMR-LGE images.

Magma (New York, N.Y.) Nov 20, 2018
OBJECTIVE: The aim of this paper is to investigate the use of fully convolutional neural networks (FCNNs) to segment scar tissue in the left ventricle from cardiac magnetic resonance with late gadolinium enhancement (CMR-LGE) images.
Cicatrix Heart Ventricles Gadolinium Image Enhancement Myocardial Ischemia Male Deep Learning Contrast Media Magnetic Resonance Imaging Humans Neural Networks, Computer Retrospective Studies Female
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Deep learning enables reduced gadolinium dose for contrast-enhanced brain MRI.

Journal of magnetic resonance imaging : JMRI Feb 13, 2018
BACKGROUND: There are concerns over gadolinium deposition from gadolinium-based contrast agents (GBCA) administration.
Female Aged Adult Brain Neoplasms Humans Contrast Media Motion Machine Learning Male Magnetic Resonance Imaging Artifacts Brain Middle Aged Gadolinium Deep Learning Glioma
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Abnormal elevation of myocardial necrosis biomarkers after coronary artery bypass grafting without established myocardial infarction assessed by cardiac magnetic resonance.

Journal of cardiothoracic surgery Dec 29, 2017
BACKGROUND: The diagnosis of peri-procedural myocardial infarction is complex, especially after the emergence of high-sensitivity markers of myocardial necrosis.
Magnetic Resonance Imaging Necrosis Myocardium Heart Myocardial Infarction Troponin I Gadolinium Coronary Artery Bypass Creatine Kinase, MB Form Male Middle Aged Humans Postoperative Complications Biomarkers Electrocardiography Female Aged
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