Student Projects
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.
Keywords
Image quantification, physics-informed neural networks (PINN), cardiac MRI
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Semester Project
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Published since: 2025-11-05 , Earliest start: 2026-03-01 , Latest end: 2026-11-30
Organization Cardiovascular Magnetic Resonance
Hosts Yan Chang
Topics Information, Computing and Communication Sciences , Engineering and Technology
In-silico cardiac and cardiovascular modelling with physics informed neural networks
The aim of the project is to investigate the benefits, requirements and drawbacks of physics informed neural networks in the context of personalised cardiac and cardiovascular models
Keywords
cardiac modelling, neural network, in-silico models, personalized medicine, reduced-order modelling, fluid dynamics, continuum mechanics, aortic flow
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Master Thesis
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Published since: 2025-11-04 , Earliest start: 2020-09-01
Organization Cardiovascular Magnetic Resonance
Hosts Buoso Stefano , Kozerke Sebastian, Prof
Topics Information, Computing and Communication Sciences , Engineering and Technology
Digital twinning with physics-informed graph neural networks
The aim of this project is to develop an approach based on physics-based graph neural networks to generate digital twins from PC-MRI data.
Keywords
Physics informed neural networks, graph neural networks, digital twins, blood flow, brain, circulatory system, AI, biophysical
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Master Thesis
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Published since: 2025-11-04 , Earliest start: 2025-11-01
Organization Cardiovascular Magnetic Resonance
Hosts Buoso Stefano , Kozerke Sebastian, Prof
Topics Information, Computing and Communication Sciences , Engineering and Technology