AIMC Topic: Myocardial Perfusion Imaging
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Global quantification of left ventricular myocardial perfusion at dynamic CT imaging: Prognostic value.
Journal of cardiovascular computed tomography
Dec 28, 2016
BACKGROUND: There is no published data on the prognostic value of global myocardial perfusion values at stress dynamic CT myocardial perfusion imaging (CTMPI).
Angina, Unstable
Coronary Stenosis
Asia
Myocardial Revascularization
Computed Tomography Angiography
Severity of Illness Index
Coronary Circulation
United States
Myocardial Perfusion Imaging
Europe
Humans
Predictive Value of Tests
Hospitalization
Registries
Prognosis
Aged
Coronary Angiography
Coronary Artery Disease
Retrospective Studies
Male
Myocardial Infarction
Female
Middle Aged
Proportional Hazards Models
Risk Factors
Risk Assessment
Kaplan-Meier Estimate
Automatic Valve Plane Localization in Myocardial Perfusion SPECT/CT by Machine Learning: Anatomic and Clinical Validation.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Nov 3, 2016
Precise definition of the mitral valve plane (VP) during segmentation of the left ventricle for SPECT myocardial perfusion imaging (MPI) quantification often requires manual adjustment, which affects the quantification of perfusion. We developed a ma...
Artificial neural network modeling enhances risk stratification and can reduce downstream testing for patients with suspected acute coronary syndromes, negative cardiac biomarkers, and normal ECGs.
The international journal of cardiovascular imaging
Dec 1, 2015
Despite uncertain yield, guidelines endorse routine stress myocardial perfusion imaging (MPI) for patients with suspected acute coronary syndromes, unremarkable serial electrocardiograms, and negative troponin measurements. In these patients, outcome...
Coronary Artery Disease
Acute Coronary Syndrome
Tomography, Emission-Computed, Single-Photon
Unnecessary Procedures
Myocardial Perfusion Imaging
Severity of Illness Index
Electrocardiography
Predictive Value of Tests
Coronary Angiography
Troponin
Coronary Stenosis
Decision Support Techniques
Biomarkers
Prognosis
Retrospective Studies
Female
Risk Factors
Aged
Male
Middle Aged
Risk Assessment
Humans
Neural Networks, Computer
Fuzzy Rule-Based Classification System for Assessing Coronary Artery Disease.
Computational and mathematical methods in medicine
Sep 13, 2015
The aim of this study was to determine the accuracy of fuzzy rule-based classification that could noninvasively predict CAD based on myocardial perfusion scan test and clinical-epidemiological variables. This was a cross-sectional study in which the ...
Myocardial perfusion analysis in cardiac computed tomography angiographic images at rest.
Medical image analysis
May 27, 2015
Cardiac computed tomography angiography (CTA) is a non-invasive method for anatomic evaluation of coronary artery stenoses. However, CTA is prone to artifacts that reduce the diagnostic accuracy to identify stenoses. Further, CTA does not allow for d...
Humans
Machine Learning
Algorithms
Tomography, X-Ray Computed
Reproducibility of Results
Myocardial Perfusion Imaging
Sensitivity and Specificity
Coronary Stenosis
Coronary Angiography
Radiographic Image Enhancement
Radiographic Image Interpretation, Computer-Assisted
Pattern Recognition, Automated
Rest
Diagnostic Performance of Artificial Neural Network for Detecting Ischemia in Myocardial Perfusion Imaging.
Circulation journal : official journal of the Japanese Circulation Society
Apr 3, 2015
BACKGROUND: The purpose of this study was to apply an artificial neural network (ANN) in patients with coronary artery disease (CAD) and to characterize its diagnostic ability compared with conventional visual and quantitative methods in myocardial p...
Prediction of revascularization after myocardial perfusion SPECT by machine learning in a large population.
Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
Dec 6, 2014
OBJECTIVE: We aimed to investigate if early revascularization in patients with suspected coronary artery disease can be effectively predicted by integrating clinical data and quantitative image features derived from perfusion SPECT (MPS) by machine l...
Myocardial Perfusion Imaging
Technetium Tc 99m Sestamibi
Thallium Radioisotopes
Heart
Coronary Artery Disease
Radiopharmaceuticals
Tomography, Emission-Computed, Single-Photon
Myocardial Revascularization
Algorithms
Retrospective Studies
Female
Aged
Sensitivity and Specificity
Humans
Male
Electrocardiography
Machine Learning
Middle Aged
Coronary Angiography
Image Processing, Computer-Assisted
Exercise Test
A myocardial reorientation method based on feature point detection for quantitative analysis of PET myocardial perfusion imaging.
Computer methods and programs in biomedicine
Aug 1, 2025
OBJECTIVE: Reorienting cardiac positron emission tomography (PET) images to the transaxial plane is essential for cardiac PET image analysis. This study aims to design a convolutional neural network (CNN) for automatic reorientation and evaluate its ...
Deep learning-quantified body composition from positron emission tomography/computed tomography and cardiovascular outcomes: a multicentre study.
European heart journal
Jun 23, 2025
BACKGROUND AND AIMS: Positron emission tomography (PET)/computed tomography (CT) myocardial perfusion imaging (MPI) is a vital diagnostic tool, especially in patients with cardiometabolic syndrome. Low-dose CT scans are routinely performed with PET f...
Deep Learning-based Quantitative CT Myocardial Perfusion Imaging and Risk Stratification of Coronary Artery Disease.
Radiology
Apr 1, 2025
Background Precise assessment of myocardial ischemia burden and cardiovascular risk stratification based on dynamic CT myocardial perfusion imaging (MPI) is lacking. Purpose To develop and validate a deep learning (DL) model for automated quantificat...
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