AIMC Topic: Magnetic Resonance Imaging, Cine

Clear Filters Showing 141 to 150 of 175 articles

A deep learning framework for unsupervised affine and deformable image registration.

Medical image analysis Dec 8, 2018
Image registration, the process of aligning two or more images, is the core technique of many (semi-)automatic medical image analysis tasks. Recent studies have shown that deep learning methods, notably convolutional neural networks (ConvNets), can b...
Humans Neural Networks, Computer Tomography, X-Ray Computed Unsupervised Machine Learning Heart Diseases Radiography, Thoracic Magnetic Resonance Imaging, Cine Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted
View on PubMed DOI

Learning-Based Quality Control for Cardiac MR Images.

IEEE transactions on medical imaging Nov 1, 2018
The effectiveness of a cardiovascular magnetic resonance (CMR) scan depends on the ability of the operator to correctly tune the acquisition parameters to the subject being scanned and on the potential occurrence of imaging artifacts, such as cardiac...
Cardiac Imaging Techniques Image Interpretation, Computer-Assisted Movement Magnetic Resonance Imaging, Cine Heart Quality Control Humans Machine Learning Algorithms
View on PubMed DOI

Fully convolutional multi-scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers.

Medical image analysis Oct 19, 2018
Deep fully convolutional neural network (FCN) based architectures have shown great potential in medical image segmentation. However, such architectures usually have millions of parameters and inadequate number of training samples leading to over-fitt...
Algorithms Reproducibility of Results Cardiovascular Diseases Image Interpretation, Computer-Assisted Humans Neural Networks, Computer Magnetic Resonance Imaging, Cine
View on PubMed DOI

Deep Learning-based Method for Fully Automatic Quantification of Left Ventricle Function from Cine MR Images: A Multivendor, Multicenter Study.

Radiology Oct 9, 2018
Purpose To develop a deep learning-based method for fully automated quantification of left ventricular (LV) function from short-axis cine MR images and to evaluate its performance in a multivendor and multicenter setting. Materials and Methods This r...
Magnetic Resonance Imaging, Cine Ventricular Function Deep Learning Heart Ventricles Image Interpretation, Computer-Assisted Humans Retrospective Studies
View on PubMed DOI

Automated cardiovascular magnetic resonance image analysis with fully convolutional networks.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Sep 14, 2018
BACKGROUND: Cardiovascular resonance (CMR) imaging is a standard imaging modality for assessing cardiovascular diseases (CVDs), the leading cause of death globally. CMR enables accurate quantification of the cardiac chamber volume, ejection fraction ...
Databases, Factual Myocardial Contraction Female Predictive Value of Tests Ventricular Function, Left Heart Diseases Humans Magnetic Resonance Imaging, Cine Stroke Volume Image Interpretation, Computer-Assisted Reproducibility of Results Neural Networks, Computer Ventricular Function, Right Middle Aged Observer Variation Aged Deep Learning Automation Male
View on PubMed DOI

Real-time cardiovascular MR with spatio-temporal artifact suppression using deep learning-proof of concept in congenital heart disease.

Magnetic resonance in medicine Sep 8, 2018
PURPOSE: Real-time assessment of ventricular volumes requires high acceleration factors. Residual convolutional neural networks (CNN) have shown potential for removing artifacts caused by data undersampling. In this study, we investigated the ability...
Fourier Analysis Breath Holding Magnetic Resonance Imaging, Cine Artifacts Respiration Heart Defects, Congenital Cardiac-Gated Imaging Techniques Male Middle Aged Deep Learning Heart Image Interpretation, Computer-Assisted Adolescent Image Processing, Computer-Assisted Retrospective Studies Young Adult Adult Humans Algorithms
View on PubMed DOI

A deep Boltzmann machine-driven level set method for heart motion tracking using cine MRI images.

Medical image analysis Apr 6, 2018
Heart motion tracking for radiation therapy treatment planning can result in effective motion management strategies to minimize radiation-induced cardiotoxicity. However, automatic heart motion tracking is challenging due to factors that include the ...
Radiation Injuries Radiotherapy, Image-Guided Humans Magnetic Resonance Imaging, Cine Heart Neural Networks, Computer Algorithms Motion Image Processing, Computer-Assisted Markov Chains Head and Neck Neoplasms
View on PubMed DOI

A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction.

IEEE transactions on medical imaging Oct 13, 2017
Inspired by recent advances in deep learning, we propose a framework for reconstructing dynamic sequences of 2-D cardiac magnetic resonance (MR) images from undersampled data using a deep cascade of convolutional neural networks (CNNs) to accelerate ...
Humans Neural Networks, Computer Heart Magnetic Resonance Imaging, Cine Algorithms Databases, Factual Image Processing, Computer-Assisted
View on PubMed DOI

Unsupervised Myocardial Segmentation for Cardiac BOLD.

IEEE transactions on medical imaging Jul 12, 2017
A fully automated 2-D+time myocardial segmentation framework is proposed for cardiac magnetic resonance (CMR) blood-oxygen-level-dependent (BOLD) data sets. Ischemia detection with CINE BOLD CMR relies on spatio-temporal patterns in myocardial intens...
Magnetic Resonance Imaging, Cine Unsupervised Machine Learning Animals Algorithms Heart Image Processing, Computer-Assisted Dogs
View on PubMed DOI

Model-Based Generation of Large Databases of Cardiac Images: Synthesis of Pathological Cine MR Sequences From Real Healthy Cases.

IEEE transactions on medical imaging Jun 9, 2017
Collecting large databases of annotated medical images is crucial for the validation and testing of feature extraction, statistical analysis, and machine learning algorithms. Recent advances in cardiac electromechanical modeling and image synthesis p...
Adult Male Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging, Cine Databases, Factual Machine Learning Female Algorithms Young Adult
View on PubMed DOI
Popular Topics
Recent Journals