AIMC Topic: Myocardial Perfusion Imaging

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Deep learning model for low-dose CT late iodine enhancement imaging and extracellular volume quantification.

European radiology Dec 20, 2024
OBJECTIVES: To develop and validate deep learning (DL)-models that denoise late iodine enhancement (LIE) images and enable accurate extracellular volume (ECV) quantification.
Aged Male Middle Aged Deep Learning Humans Retrospective Studies Tomography, X-Ray Computed Female Signal-To-Noise Ratio Computed Tomography Angiography Myocardial Perfusion Imaging Radiographic Image Enhancement Iodine Contrast Media Radiographic Image Interpretation, Computer-Assisted Radiation Dosage
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Cardiac motion correction with a deep learning network for perfusion defect assessment in single-photon emission computed tomography myocardial perfusion imaging.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Nov 2, 2024
BACKGROUND: In myocardial perfusion imaging (MPI) with single-photon emission computed tomography (SPECT), ungated studies are used for evaluation of perfusion defects despite motion blur. We investigate the potential benefit of motion correction usi...
Middle Aged Deep Learning ROC Curve Image Processing, Computer-Assisted Heart Humans Female Motion Aged Tomography, Emission-Computed, Single-Photon Male Myocardial Perfusion Imaging
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A novel algorithm developed using machine learning and a J-ACCESS database can estimate defect scores from myocardial perfusion single-photon emission tomography images.

Annals of nuclear medicine Aug 29, 2024
BACKGROUND: Stress myocardial perfusion single-photon emission computed tomography (SPECT) imaging (MPI) has been used to diagnose and predict the prognoses of patients with coronary artery disease (CAD). An ongoing multicenter collaboration establis...
Female Aged Male Middle Aged Humans Machine Learning Algorithms Databases, Factual Image Processing, Computer-Assisted Coronary Artery Disease Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging
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Improved robustness for deep learning-based segmentation of multi-center myocardial perfusion cardiovascular MRI datasets using data-adaptive uncertainty-guided space-time analysis.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Aug 12, 2024
BACKGROUND: Fully automatic analysis of myocardial perfusion cardiovascular magnetic resonance imaging datasets enables rapid and objective reporting of stress/rest studies in patients with suspected ischemic heart disease. Developing deep learning t...
United States Magnetic Resonance Imaging Predictive Value of Tests Male Image Interpretation, Computer-Assisted Datasets as Topic Humans Middle Aged Coronary Circulation Deep Learning Female Myocardial Perfusion Imaging Time Factors Reproducibility of Results Uncertainty Aged
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Deeper insights from deep learning: Enhanced myocardial perfusion assessments using multimodal artificial intelligence.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Jul 30, 2024
Coronary Artery Disease Myocardial Perfusion Imaging Humans Artificial Intelligence Deep Learning
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Reduced response to regadenoson with increased weight: An artificial intelligence-based quantitative myocardial perfusion study.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance Jul 25, 2024
BACKGROUND: There is conflicting evidence regarding the response to a fixed dose of regadenoson in patients with high body weight. The aim of this study was to evaluate the effectiveness of regadenoson in patients with varying body weights using nove...
Adenosine Risk Factors Aged Adenosine A2 Receptor Agonists Humans Male Coronary Artery Disease Middle Aged Artificial Intelligence Body Weight Vasodilator Agents Case-Control Studies Image Interpretation, Computer-Assisted Algorithms Purines Logistic Models Pyrazoles Female Obesity Coronary Circulation Predictive Value of Tests Myocardial Perfusion Imaging
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Current status and future directions in artificial intelligence for nuclear cardiology.

Expert review of cardiovascular therapy Jul 16, 2024
INTRODUCTION: Myocardial perfusion imaging (MPI) is one of the most commonly ordered cardiac imaging tests. Accurate motion correction, image registration, and reconstruction are critical for high-quality imaging, but this can be technically challeng...
Risk Assessment Image Processing, Computer-Assisted Myocardial Perfusion Imaging Cardiology Humans Artificial Intelligence
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A deep learning-based automated diagnosis system for SPECT myocardial perfusion imaging.

Scientific reports Jun 12, 2024
Images obtained from single-photon emission computed tomography for myocardial perfusion imaging (MPI SPECT) contain noises and artifacts, making cardiovascular disease diagnosis difficult. We developed a deep learning-based diagnosis support system ...
Middle Aged Deep Learning ROC Curve Image Processing, Computer-Assisted Coronary Artery Disease Neural Networks, Computer Tomography, Emission-Computed, Single-Photon Female Myocardial Perfusion Imaging Humans Aged Male
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Explainable deep-learning-based ischemia detection using hybrid O-15 HO perfusion positron emission tomography and computed tomography imaging with clinical data.

Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology Jun 8, 2024
BACKGROUND: We developed an explainable deep-learning (DL)-based classifier to identify flow-limiting coronary artery disease (CAD) by O-15 HO perfusion positron emission tomography computed tomography (PET/CT) and coronary CT angiography (CTA) imagi...
Coronary Artery Disease Myocardial Ischemia Computed Tomography Angiography Myocardial Perfusion Imaging Oxygen Radioisotopes Middle Aged Deep Learning Coronary Angiography Positron Emission Tomography Computed Tomography Female Aged Sensitivity and Specificity Male Humans
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Artificial Intelligence Predicts Hospitalization for Acute Heart Failure Exacerbation in Patients Undergoing Myocardial Perfusion Imaging.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine May 1, 2024
Heart failure (HF) is a leading cause of morbidity and mortality in the United States and worldwide, with a high associated economic burden. This study aimed to assess whether artificial intelligence models incorporating clinical, stress test, and im...
Female Hospitalization Aged Male Middle Aged Disease Progression Cohort Studies Acute Disease Humans Artificial Intelligence Heart Failure Myocardial Perfusion Imaging Single Photon Emission Computed Tomography Computed Tomography
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