AIMC Topic: Coronary Circulation

Clear Filters Showing 11 to 20 of 25 articles

Deep learning: Opening a third eye to myocardial perfusion imaging.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology May 12, 2022
Humans Deep Learning Perfusion Coronary Circulation Myocardial Perfusion Imaging
View on PubMed DOI

Multi-task Deep Learning of Myocardial Blood Flow and Cardiovascular Risk Traits from PET Myocardial Perfusion Imaging.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Mar 10, 2022
BACKGROUND: Advanced cardiac imaging with positron emission tomography (PET) is a powerful tool for the evaluation of known or suspected cardiovascular disease. Deep learning (DL) offers the possibility to abstract highly complex patterns to optimize...
Risk Factors Cardiovascular Diseases Deep Learning Hypertension Coronary Artery Disease Humans Tomography, X-Ray Computed Positron-Emission Tomography Coronary Circulation Myocardial Perfusion Imaging Fractional Flow Reserve, Myocardial
View on PubMed DOI

Standard SPECT myocardial perfusion estimation from half-time acquisitions using deep convolutional residual neural networks.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Apr 28, 2020
INTRODUCTION: The purpose of this work was to assess the feasibility of acquisition time reduction in MPI-SPECT imaging using deep leering techniques through two main approaches, namely reduction of the acquisition time per projection and reduction o...
Myocardial Perfusion Imaging Cardiac Imaging Techniques Humans Feasibility Studies Neural Networks, Computer Tomography, Emission-Computed, Single-Photon Prospective Studies Coronary Circulation Time Factors
View on PubMed DOI

Cardiac VFM visualization and analysis based on YOLO deep learning model and modified 2D continuity equation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 28, 2020
In order to realize the visual analysis of cardiac fluid motion, according to the characteristics of cardiac flow field ultrasound image, a method for the cardiac Vector Flow Mapping (VFM) analysis and evaluation based on the You-Only-Look-Once (YOLO...
Deep Learning Blood Flow Velocity Coronary Circulation Echocardiography, Doppler, Color Humans
View on PubMed DOI

The Prognostic Significance of Quantitative Myocardial Perfusion: An Artificial Intelligence-Based Approach Using Perfusion Mapping.

Circulation Feb 14, 2020
BACKGROUND: Myocardial perfusion reflects the macro- and microvascular coronary circulation. Recent quantitation developments using cardiovascular magnetic resonance perfusion permit automated measurement clinically. We explored the prognostic signif...
Humans Coronary Circulation Myocardial Perfusion Imaging Middle Aged Coronary Angiography Artificial Intelligence Coronary Artery Disease Female Magnetic Resonance Angiography Aged Male
View on PubMed DOI

Machine learning in cardiovascular magnetic resonance: basic concepts and applications.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Oct 7, 2019
Machine learning (ML) is making a dramatic impact on cardiovascular magnetic resonance (CMR) in many ways. This review seeks to highlight the major areas in CMR where ML, and deep learning in particular, can assist clinicians and engineers in improvi...
Predictive Value of Tests Myocardium Supervised Machine Learning Image Interpretation, Computer-Assisted Cardiovascular Diseases Diagnosis, Computer-Assisted Deep Learning Unsupervised Machine Learning Coronary Circulation Myocardial Perfusion Imaging Magnetic Resonance Imaging, Cine Humans Machine Learning Reproducibility of Results
View on PubMed DOI

Deep Learning for Prediction of Obstructive Disease From Fast Myocardial Perfusion SPECT: A Multicenter Study.

JACC. Cardiovascular imaging Mar 14, 2018
OBJECTIVES: The study evaluated the automatic prediction of obstructive disease from myocardial perfusion imaging (MPI) by deep learning as compared with total perfusion deficit (TPD).
Tomography, Emission-Computed, Single-Photon Coronary Circulation Myocardial Perfusion Imaging Coronary Stenosis Technetium Tc 99m Sestamibi Organotechnetium Compounds Registries Radiopharmaceuticals Image Interpretation, Computer-Assisted Organophosphorus Compounds Male Middle Aged Deep Learning Predictive Value of Tests Female Aged Aged, 80 and over Humans
View on PubMed DOI

In Situ Skeletonized Right Internal Mammary Artery Bypass Grafting to Left Anterior Descending Artery.

International heart journal Dec 27, 2017
This study aimed to evaluate the feasibility and the mid-term efficacy of an in situ skeletonized right internal mammary artery (IMA) bypass grafting to a left anterior descending artery (LAD), and to determine risk factors for IMA graft failure in a...
Computed Tomography Angiography Hospital Mortality Coronary Circulation Treatment Outcome Adult Follow-Up Studies Coronary Artery Bypass Humans Coronary Angiography Coronary Artery Disease Male Vascular Patency Retrospective Studies Middle Aged Coronary Vessels Mammary Arteries Female China Aged
View on PubMed DOI

Prognostic Value of Combined Clinical and Myocardial Perfusion Imaging Data Using Machine Learning.

JACC. Cardiovascular imaging Oct 18, 2017
OBJECTIVES: This study evaluated the added predictive value of combining clinical information and myocardial perfusion single-photon emission computed tomography (SPECT) imaging (MPI) data using machine learning (ML) to predict major adverse cardiac ...
Humans Machine Learning Reproducibility of Results Risk Factors Aged Predictive Value of Tests Prognosis Exercise Test Female Tomography, Emission-Computed, Single-Photon Coronary Circulation Myocardial Perfusion Imaging Risk Assessment Aged, 80 and over Hemodynamics Male Time Factors Cardiovascular Diseases Health Status Middle Aged
View on PubMed DOI

Impact of knowledge-based iterative model reconstruction on myocardial late iodine enhancement in computed tomography and comparison with cardiac magnetic resonance.

The international journal of cardiovascular imaging Apr 13, 2017
We evaluated the image quality and diagnostic performance of late iodine enhancement computed tomography (LIE-CT) with knowledge-based iterative model reconstruction (IMR) for the detection of myocardial infarction (MI) in comparison with late gadoli...
Cardiac-Gated Imaging Techniques Iopamidol Female Coronary Circulation Myocardial Perfusion Imaging Reproducibility of Results Knowledge Bases Gadolinium DTPA Aged Observer Variation Magnetic Resonance Imaging, Cine Myocardium Male Humans Middle Aged Multidetector Computed Tomography Radiographic Image Interpretation, Computer-Assisted Coronary Angiography Electrocardiography Retrospective Studies Computed Tomography Angiography Coronary Artery Disease Contrast Media Myocardial Infarction Predictive Value of Tests
View on PubMed DOI
Popular Topics
Recent Journals