AIMC Topic: Myocardial Perfusion Imaging
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Application of data mining in a cohort of Italian subjects undergoing myocardial perfusion imaging at an academic medical center.
Computer methods and programs in biomedicine
Jan 16, 2020
INTRODUCTION: Coronary artery disease (CAD) is still one of the primary causes of death in the developed countries. Stress single-photon emission computed tomography is used to evaluate myocardial perfusion and ventricular function in patients with s...
Deep Learning in Quantitative PET Myocardial Perfusion Imaging: A Study on Cardiovascular Event Prediction.
JACC. Cardiovascular imaging
Oct 11, 2019
Humans
Prognosis
Female
Reproducibility of Results
Risk Assessment
Disease Progression
Diagnosis, Computer-Assisted
Deep Learning
Time Factors
Risk Factors
Aged
Male
Middle Aged
Myocardial Perfusion Imaging
Predictive Value of Tests
Models, Cardiovascular
Positron Emission Tomography Computed Tomography
Coronary Artery Disease
Image Interpretation, Computer-Assisted
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...
Coronary Circulation
Myocardial Perfusion Imaging
Magnetic Resonance Imaging, Cine
Reproducibility of Results
Humans
Cardiovascular Diseases
Myocardium
Machine Learning
Unsupervised Machine Learning
Diagnosis, Computer-Assisted
Supervised Machine Learning
Predictive Value of Tests
Deep Learning
Image Interpretation, Computer-Assisted
Improved diagnostic accuracy for myocardial perfusion imaging using artificial neural networks on different input variables including clinical and quantification data.
Revista espanola de medicina nuclear e imagen molecular
Aug 8, 2019
OBJECTIVE: Diagnostic accuracy of myocardial perfusion imaging (MPI) is not optimal to predict the result of angiography. The current study aimed at investigating the application of artificial neural network (ANN) to integrate the clinical data with ...
Classification of Polar Maps from Cardiac Perfusion Imaging with Graph-Convolutional Neural Networks.
Scientific reports
May 20, 2019
Myocardial perfusion imaging is a non-invasive imaging technique commonly used for the diagnosis of Coronary Artery Disease and is based on the injection of radiopharmaceutical tracers into the blood stream. The patient's heart is imaged while at res...
Artificial Intelligence in Nuclear Cardiology.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Mar 29, 2019
Machine learning derived segmentation of phase velocity encoded cardiovascular magnetic resonance for fully automated aortic flow quantification.
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
Jan 7, 2019
BACKGROUND: Phase contrast (PC) cardiovascular magnetic resonance (CMR) is widely employed for flow quantification, but analysis typically requires time consuming manual segmentation which can require human correction. Advances in machine learning ha...
Reproducibility of Results
Aged
Male
Middle Aged
Aortic Valve
Predictive Value of Tests
Heart Diseases
Hemodynamics
United States
Machine Learning
Prospective Studies
Retrospective Studies
Female
Humans
Aorta
Myocardial Perfusion Imaging
Magnetic Resonance Imaging, Cine
Image Interpretation, Computer-Assisted
Automation
Proof of Concept Study
Blood Flow Velocity
Personalized Models for Injected Activity Levels in SPECT Myocardial Perfusion Imaging.
IEEE transactions on medical imaging
Dec 6, 2018
We propose a patient-specific ("personalized") approach for tailoring the injected activities to individual patients in order to achieve dose reduction in SPECT-myocardial perfusion imaging (MPI). First, we develop a strategy to determine the minimum...
Accuracy of an artificial neural network for detecting a regional abnormality in myocardial perfusion SPECT.
Annals of nuclear medicine
Oct 9, 2018
OBJECTIVES: The patient-based diagnosis with an artificial neural network (ANN) has shown potential utility for the detection of coronary artery disease; however, the region-based accuracy of the detected regions has not been fully evaluated. The aim...
Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Sep 27, 2018
Combined analysis of SPECT myocardial perfusion imaging (MPI) performed with a solid-state camera on patients in 2 positions (semiupright, supine) is routinely used to mitigate attenuation artifacts. We evaluated the prediction of obstructive disease...
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