AIMC Topic: Cardiac Imaging Techniques

Clear Filters Showing 21 to 30 of 53 articles

Cardiac MR segmentation based on sequence propagation by deep learning.

PloS one Apr 9, 2020
Accurate segmentation of myocardial in cardiac MRI (magnetic resonance image) is key to effective rapid diagnosis and quantitative pathology analysis. However, a low-quality CMR (cardiac magnetic resonance) image with a large amount of noise makes it...
Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Neural Networks, Computer Heart Ventricles Datasets as Topic Cardiac Imaging Techniques Magnetic Resonance Imaging Myocardium Heart
View on PubMed DOI

Will artificial intelligence change the job of the cardiac imaging specialist?

Archives of cardiovascular diseases Dec 30, 2019
Reproducibility of Results Cardiac Imaging Techniques Artificial Intelligence Diagnosis, Computer-Assisted Machine Learning Humans Predictive Value of Tests Forecasting Heart Diseases Diffusion of Innovation Image Interpretation, Computer-Assisted
View on PubMed DOI

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 ...
Adult Male Middle Aged Female Aged Young Adult Gadolinium Image Enhancement Tachycardia, Ventricular Contrast Media Magnetic Resonance Imaging Cardiomyopathy, Hypertrophic Humans Machine Learning Retrospective Studies Cardiac Imaging Techniques
View on PubMed DOI

Applications of Artificial Intelligence in Cardiology. The Future is Already Here.

Revista espanola de cardiologia (English ed.) Oct 12, 2019
There is currently no other hot topic like the ability of current technology to develop capabilities similar to those of human beings, even in medicine. This ability to simulate the processes of human intelligence with computer systems is known as ar...
Deep Learning Cardiology Artificial Intelligence Cardiac Imaging Techniques Machine Learning Humans Algorithms
View on PubMed DOI

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.
Cardiac Imaging Techniques Databases, Factual Humans Magnetic Resonance Imaging Deep Learning Algorithms Image Processing, Computer-Assisted Heart Respiration
View on PubMed DOI

Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach.

IEEE transactions on medical imaging Jan 23, 2019
Deep learning approaches have achieved state-of-the-art performance in cardiac magnetic resonance (CMR) image segmentation. However, most approaches have focused on learning image intensity features for segmentation, whereas the incorporation of anat...
Cardiac Imaging Techniques Humans Imaging, Three-Dimensional Algorithms Heart Deep Learning Magnetic Resonance Imaging, Cine
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...
Movement Magnetic Resonance Imaging, Cine Cardiac Imaging Techniques Heart Humans Quality Control Image Interpretation, Computer-Assisted Machine Learning Algorithms
View on PubMed DOI

Machine Meets Biology: a Primer on Artificial Intelligence in Cardiology and Cardiac Imaging.

Current cardiology reports Oct 18, 2018
PURPOSE OF REVIEW: An understanding of the basics concepts of deep learning can be helpful in not only understanding the potential applications of this technique but also in critically reviewing literature in which neural networks are utilized for an...
Cardiology Humans Cardiac Imaging Techniques Machine Learning Neural Networks, Computer Cardiovascular Diseases Artificial Intelligence Deep Learning
View on PubMed DOI

Convolutional Neural Network With Shape Prior Applied to Cardiac MRI Segmentation.

IEEE journal of biomedical and health informatics Aug 14, 2018
In this paper, we present a novel convolutional neural network architecture to segment images from a series of short-axis cardiac magnetic resonance slices (CMRI). The proposed model is an extension of the U-net that embeds a cardiac shape prior and ...
Humans Neural Networks, Computer Databases, Factual Image Processing, Computer-Assisted Magnetic Resonance Imaging Heart Cardiac Imaging Techniques
View on PubMed DOI

Ω-Net (Omega-Net): Fully automatic, multi-view cardiac MR detection, orientation, and segmentation with deep neural networks.

Medical image analysis May 22, 2018
Pixelwise segmentation of the left ventricular (LV) myocardium and the four cardiac chambers in 2-D steady state free precession (SSFP) cine sequences is an essential preprocessing step for a wide range of analyses. Variability in contrast, appearanc...
Cardiac Imaging Techniques Algorithms Humans Image Processing, Computer-Assisted Neural Networks, Computer Cardiomyopathy, Hypertrophic
View on PubMed DOI
Popular Topics
Recent Journals