AIMC Topic: Magnetic Resonance Imaging, Cine
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Improved Quantification of Myocardium Scar in Late Gadolinium Enhancement Images: Deep Learning Based Image Fusion Approach.
Journal of magnetic resonance imaging : JMRI
Feb 17, 2021
BACKGROUND: Quantification of myocardium scarring in late gadolinium enhanced (LGE) cardiac magnetic resonance imaging can be challenging due to low scar-to-background contrast and low image quality. To resolve ambiguous LGE regions, experienced read...
Deep learning to diagnose cardiac amyloidosis from cardiovascular magnetic resonance.
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Dec 7, 2020
BACKGROUND: Cardiovascular magnetic resonance (CMR) is part of the diagnostic work-up for cardiac amyloidosis (CA). Deep learning (DL) is an application of artificial intelligence that may allow to automatically analyze CMR findings and establish the...
Humans
Female
Male
Ventricular Function, Left
Deep Learning
Reproducibility of Results
Aged
Aged, 80 and over
Magnetic Resonance Imaging, Cine
Amyloid Neuropathies, Familial
Immunoglobulin Light-chain Amyloidosis
Ventricular Remodeling
Image Processing, Computer-Assisted
Cardiomyopathy, Hypertrophic
Predictive Value of Tests
Hypertrophy, Left Ventricular
Myocardium
An unsupervised deep learning method for multi-coil cine MRI.
Physics in medicine and biology
Dec 2, 2020
Deep learning has achieved good success in cardiac magnetic resonance imaging (MRI) reconstruction, in which convolutional neural networks (CNNs) learn a mapping from the undersampled k-space to the fully sampled images. Although these deep learning ...
Retrospective respiratory motion correction in cardiac cine MRI reconstruction using adversarial autoencoder and unsupervised learning.
NMR in biomedicine
Nov 30, 2020
The aim of this study was to develop a deep neural network for respiratory motion compensation in free-breathing cine MRI and evaluate its performance. An adversarial autoencoder network was trained using unpaired training data from healthy volunteer...
Deep learning algorithm to improve hypertrophic cardiomyopathy mutation prediction using cardiac cine images.
European radiology
Nov 25, 2020
OBJECTIVES: The high variability of hypertrophic cardiomyopathy (HCM) genetic phenotypes has prompted the establishment of risk-stratification systems that predict the risk of a positive genetic mutation based on clinical and echocardiographic profil...
Artificial Intelligence Aids Cardiac Image Quality Assessment for Improving Precision in Strain Measurements.
JACC. Cardiovascular imaging
Nov 18, 2020
OBJECTIVES: The aim of this study was to develop an artificial intelligence tool to assess echocardiographic image quality objectively.
Primer and Historical Review on Rapid Cardiac CINE MRI.
Journal of magnetic resonance imaging : JMRI
Nov 12, 2020
Acceleration is an important consideration when imaging moving organs such as the heart. Not only does acceleration enable motion-free scans but, more importantly, it lies at the heart of capturing the dynamics of cardiac motion. For over three decad...
Multi-domain convolutional neural network (MD-CNN) for radial reconstruction of dynamic cardiac MRI.
Magnetic resonance in medicine
Sep 13, 2020
PURPOSE: Cardiac MR cine imaging allows accurate and reproducible assessment of cardiac function. However, its long scan time not only limits the spatial and temporal resolutions but is challenging in patients with breath-holding difficulty or non-si...
Rapid reconstruction of highly undersampled, non-Cartesian real-time cine k-space data using a perceptual complex neural network (PCNN).
NMR in biomedicine
Sep 1, 2020
Highly accelerated real-time cine MRI using compressed sensing (CS) is a promising approach to achieve high spatio-temporal resolution and clinically acceptable image quality in patients with arrhythmia and/or dyspnea. However, its lengthy image reco...
CINENet: deep learning-based 3D cardiac CINE MRI reconstruction with multi-coil complex-valued 4D spatio-temporal convolutions.
Scientific reports
Aug 13, 2020
Cardiac CINE magnetic resonance imaging is the gold-standard for the assessment of cardiac function. Imaging accelerations have shown to enable 3D CINE with left ventricular (LV) coverage in a single breath-hold. However, 3D imaging remains limited t...
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