AIMC Topic: Myocardial Perfusion Imaging

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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
Humans Artificial Intelligence Deep Learning Coronary Artery Disease Myocardial Perfusion Imaging
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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 A2 Receptor Agonists Case-Control Studies Risk Factors Coronary Artery Disease Aged Purines Humans Logistic Models Male Artificial Intelligence Coronary Circulation Body Weight Middle Aged Algorithms Obesity Image Interpretation, Computer-Assisted Myocardial Perfusion Imaging Female Predictive Value of Tests Pyrazoles Adenosine Vasodilator Agents
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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...
Artificial Intelligence Risk Assessment Image Processing, Computer-Assisted Myocardial Perfusion Imaging Cardiology Humans
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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 ...
Humans Neural Networks, Computer Tomography, Emission-Computed, Single-Photon Myocardial Perfusion Imaging Deep Learning Female ROC Curve Aged Image Processing, Computer-Assisted Male Coronary Artery Disease Middle Aged
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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...
Computed Tomography Angiography Humans Myocardial Perfusion Imaging Female Aged Oxygen Radioisotopes Sensitivity and Specificity Male Coronary Angiography Middle Aged Deep Learning Positron Emission Tomography Computed Tomography Coronary Artery Disease Myocardial Ischemia
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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...
Artificial Intelligence Female Hospitalization Aged Male Humans Heart Failure Myocardial Perfusion Imaging Single Photon Emission Computed Tomography Computed Tomography Middle Aged Disease Progression Cohort Studies Acute Disease
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Prognostic value of a novel artificial intelligence-based coronary CTA-derived ischemia algorithm among patients with normal or abnormal myocardial perfusion.

Journal of cardiovascular computed tomography Apr 24, 2024
BACKGROUND: Among patients with obstructive coronary artery disease (CAD) on coronary computed tomography angiography (CTA), downstream positron emission tomography (PET) perfusion imaging can be performed to assess the presence of myocardial ischemi...
Humans Coronary Stenosis Adenosine Artificial Intelligence Severity of Illness Index Coronary Circulation Coronary Artery Disease Time Factors Myocardial Perfusion Imaging Reproducibility of Results Algorithms Predictive Value of Tests Positron-Emission Tomography Finland Risk Factors Prognosis Coronary Angiography Coronary Vessels Aged Angina, Unstable Retrospective Studies Vasodilator Agents Male Female Computed Tomography Angiography Middle Aged
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Deep learning-based rapid image reconstruction and motion correction for high-resolution cartesian first-pass myocardial perfusion imaging at 3T.

Magnetic resonance in medicine Apr 4, 2024
PURPOSE: To develop and evaluate a deep learning (DL) -based rapid image reconstruction and motion correction technique for high-resolution Cartesian first-pass myocardial perfusion imaging at 3T with whole-heart coverage for both single-slice (SS) a...
Artifacts Signal-To-Noise Ratio Myocardial Perfusion Imaging Prospective Studies Female Adult Male Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Heart Motion Humans Algorithms
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Artificial Intelligence in Nuclear Cardiology: An Update and Future Trends.

Seminars in nuclear medicine Mar 22, 2024
Myocardial perfusion imaging (MPI), using either single photon emission computed tomography (SPECT) or positron emission tomography (PET), is one of the most commonly ordered cardiac imaging tests, with prominent clinical roles for disease diagnosis ...
Humans Artificial Intelligence Image Processing, Computer-Assisted Myocardial Perfusion Imaging Cardiology Nuclear Medicine
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AI-Defined Cardiac Anatomy Improves Risk Stratification of Hybrid Perfusion Imaging.

JACC. Cardiovascular imaging Mar 6, 2024
BACKGROUND: Computed tomography attenuation correction (CTAC) improves perfusion quantification of hybrid myocardial perfusion imaging by correcting for attenuation artifacts. Artificial intelligence (AI) can automatically measure coronary artery cal...
Coronary Artery Disease Coronary Vessels Vascular Calcification Computed Tomography Angiography Coronary Circulation Myocardial Perfusion Imaging Single Photon Emission Computed Tomography Computed Tomography Time Factors Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Aged Prognosis Male Retrospective Studies Middle Aged Female Humans Risk Assessment Reproducibility of Results Artificial Intelligence Risk Factors
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