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Quantification of myocardial blood perfusion from cardiac perfusion MRI using physics-informed neural networks (PINN)

Ischemia is a less-than-normal amount of blood flow to part of your body. It can happen particularly in heart and brain which causes severe life-threatening conditions. However, most of the current imaging technics only provides qualitative assessment, resulting in uncertainty in determining the severity of the disease. This study focuses on assessment of ischemia in heart muscles (myocardium) using cardiac perfusion magnetic resonance imaging (Perfusion MRI) and physics-informed neural networks (PINN) to quantify the level of perfusion in different locations of myocardium.

Schlagwörter

Image quantification, physics-informed neural networks (PINN), cardiac MRI

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Publiziert seit: 2025-11-05 , Frühester Start: 2026-03-01 , Spätestes Ende: 2026-11-30

Organisation(en) Cardiovascular Magnetic Resonance

Host(s) Yan Chang

Themen Information, Computing and Communication Sciences , Engineering and Technology

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