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Virtual myocardial blood flow and flow reserve from static PET imaging using artificial intelligence

2026-02-05 cardiovascular medicine Title + abstract only
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BackgroundQuantitative myocardial blood flow (MBF) and myocardial flow reserve (MFR) provide incremental diagnostic and prognostic value in cardiac PET, but their widespread use is limited by the technical demands of dynamic imaging protocols. We evaluated the feasibility of using artificial intelligence (AI) to predict MBF and MFR from static and gated PET images, without the need for dynamic acquisition. MethodsA machine learning (XGBoost) model was trained on 82Rb PET multi-center dataset us...

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