AIMC Topic: Myocardial Perfusion Imaging

Clear Filters Showing 51 to 60 of 104 articles

DEep learning-based rapid Spiral Image REconstruction (DESIRE) for high-resolution spiral first-pass myocardial perfusion imaging.

NMR in biomedicine Dec 22, 2021
The objective of the current study was to develop and evaluate a DEep learning-based rapid Spiral Image REconstruction (DESIRE) technique for high-resolution spiral first-pass myocardial perfusion imaging with whole-heart coverage, to provide fast an...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Myocardial Perfusion Imaging Humans Prospective Studies Retrospective Studies
View on PubMed DOI

A Comparison among Different Machine Learning Pretest Approaches to Predict Stress-Induced Ischemia at PET/CT Myocardial Perfusion Imaging.

Computational and mathematical methods in medicine Nov 27, 2021
Traditional approach for predicting coronary artery disease (CAD) is based on demographic data, symptoms such as chest pain and dyspnea, and comorbidity related to cardiovascular diseases. Usually, these variables are analyzed by logistic regression ...
Middle Aged Cohort Studies Computational Biology Exercise Test Predictive Value of Tests Logistic Models Coronary Artery Disease Myocardial Ischemia Support Vector Machine Female Decision Trees Myocardial Perfusion Imaging Aged Male Humans Machine Learning Algorithms Bayes Theorem Positron Emission Tomography Computed Tomography
View on PubMed DOI

Post-reconstruction attenuation correction for SPECT myocardium perfusion imaging facilitated by deep learning-based attenuation map generation.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Oct 20, 2021
BACKGROUND: Attenuation correction can improve the quantitative accuracy of single-photon emission computed tomography (SPECT) images. Existing SPECT-only systems normally can only provide non-attenuation corrected (NC) images which are susceptible t...
Myocardium Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Humans Sensitivity and Specificity Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Comparing the Prognostic Value of Stress Myocardial Perfusion Imaging by Conventional and Cadmium-Zinc Telluride Single-Photon Emission Computed Tomography through a Machine Learning Approach.

Computational and mathematical methods in medicine Oct 16, 2021
We compared the prognostic value of myocardial perfusion imaging (MPI) by conventional- (C-) single-photon emission computed tomography (SPECT) and cadmium-zinc-telluride- (CZT-) SPECT in a cohort of patients with suspected or known coronary artery d...
Exercise Test Coronary Artery Disease Cadmium Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Zinc Computational Biology Tellurium Aged Male Machine Learning Middle Aged Algorithms Prognosis Female Humans Neural Networks, Computer
View on PubMed DOI

Improving detection accuracy of perfusion defect in standard dose SPECT-myocardial perfusion imaging by deep-learning denoising.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Jul 19, 2021
BACKGROUND: We previously developed a deep-learning (DL) network for image denoising in SPECT-myocardial perfusion imaging (MPI). Here we investigate whether this DL network can be utilized for improving detection of perfusion defects in standard-dos...
Deep Learning ROC Curve Image Processing, Computer-Assisted Perfusion Humans Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging
View on PubMed DOI

Impact of train/test sample regimen on performance estimate stability of machine learning in cardiovascular imaging.

Scientific reports Jul 14, 2021
As machine learning research in the field of cardiovascular imaging continues to grow, obtaining reliable model performance estimates is critical to develop reliable baselines and compare different algorithms. While the machine learning community has...
Cardiovascular Diseases Machine Learning Image Processing, Computer-Assisted Humans Myocardial Perfusion Imaging Databases, Factual Area Under Curve Reproducibility of Results
View on PubMed DOI

Multi-input deep learning approach for Cardiovascular Disease diagnosis using Myocardial Perfusion Imaging and clinical data.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Apr 23, 2021
PURPOSE: Accurate detection and treatment of Coronary Artery Disease is mainly based on invasive Coronary Angiography, which could be avoided provided that a robust, non-invasive detection methodology emerged. Despite the progress of computational sy...
Neural Networks, Computer Artificial Intelligence Cardiovascular Diseases Humans Deep Learning Myocardial Perfusion Imaging
View on PubMed DOI

Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine Feb 26, 2021
Dedicated cardiac SPECT scanners with cadmium-zinc-telluride cameras have shown capabilities for shortened scan times or reduced radiation doses, as well as improved image quality. Since most dedicated scanners do not have integrated CT, image quanti...
Myocardial Perfusion Imaging Single Photon Emission Computed Tomography Computed Tomography Deep Learning Image Processing, Computer-Assisted Heart Feasibility Studies Artifacts Tomography, Emission-Computed, Single-Photon Aged Male Middle Aged Humans Retrospective Studies Female
View on PubMed DOI

Diagnostic accuracy of stress-only myocardial perfusion SPECT improved by deep learning.

European journal of nuclear medicine and molecular imaging Jan 29, 2021
PURPOSE: Deep convolutional neural networks (CNN) for single photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) has been used to improve the diagnostic accuracy of coronary artery disease (CAD). This study was to design an...
Humans Perfusion Tomography, Emission-Computed, Single-Photon Male Retrospective Studies Deep Learning Myocardial Perfusion Imaging Female Coronary Artery Disease Sensitivity and Specificity
View on PubMed DOI

Automated abstraction of myocardial perfusion imaging reports using natural language processing.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Jan 20, 2021
Research Report Humans Myocardial Perfusion Imaging Natural Language Processing
View on PubMed DOI
Popular Topics
Recent Journals