Sökning: "4D flow"
Visar resultat 1 - 5 av 24 uppsatser innehållade orden 4D flow.
1. Reconstruction of Accelerated Cardiovascular MRI data
Master-uppsats, Linköpings universitet/Statistik och maskininlärningSammanfattning : Magnetic resonance imaging (MRI), is a noninvasive medical imaging testing techniquewhich is used to produce detailed images of internal structure of the human body, includingbones, muscles, organs, and blood vessels. MRI scanners use large magnets and radiowaves to create images of the body. LÄS MER
2. Generalized super-resolution of 4D Flow MRI : extending capabilities using ensemble learning
Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknikSammanfattning : 4D Flow Magnet Resonance Imaging (4D Flow MRI) is a novel non-invasive technique for imaging of cardiovascular blood flow. However, when utilized as a stand-alone analysis method, 4D Flow MRI has certain limitations including limited spatial resolution and noise artefacts, motivating the application of dedicated post-processing tools. LÄS MER
3. Deep learning for temporal super-resolution of 4D Flow MRI
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : The accurate assessment of hemodynamics and its parameters play an important role when diagnosing cardiovascular diseases. In this context, 4D Flow Magnetic Resonance Imaging (4D Flow MRI) is a non-invasive measurement technique that facilitates hemodynamic parameter assessment as well as quantitative and qualitative analysis of three-directional flow over time. LÄS MER
4. Optimization-Based Geometry Correction Of Blood Flow CFD Simulations Using 4D-Flow Data
Master-uppsats, Lunds universitet/Institutionen för energivetenskaperSammanfattning : 4D-flow is a powerful tool capable of capturing 3-dimensional, time-resolved flow measurements of blood flow in the body. Their current use is limited by resolution and scan times. A proposed solution is to use Simulation Based Imaging (SBI). LÄS MER
5. Semi-Automatic Analysis and Visualization of Cardiac 4D Flow CT
Master-uppsats, Linköpings universitet/Institutionen för hälsa, medicin och vårdSammanfattning : The data obtained from computational fluid dynamics (CFD) simulations of blood flow in the heart is plentiful, and processing this data takes time and the procedure for that is not straightforward. This project aims to develop a tool that can semi-automatically process CFD simulation data, which is based on 4D flow computed tomography (CT) data, with minimal user input. LÄS MER