Sökning: "4D flow MRI"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden 4D flow MRI.

1. 1. Reconstruction of Accelerated Cardiovascular MRI data

   Master-uppsats, Linköpings universitet/Statistik och maskininlärning

   Författare :Hussnain Khalid; [2023]
   Nyckelord :medical imaging; deep learning; CNN; Magnetic resonance imaging; MRI; Cardiac MRI; Cardiac; Cardiovascular; reconstruction; 4D flow MRI; Parallel Imaging; Compressed Sensing; FlowVN; Flow Variational Network; K-space; Reference images; sensitivity maps; Respiratory motion; undersampled images;

   Sammanfattning : 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

3. 2. Generalized super-resolution of 4D Flow MRI : extending capabilities using ensemble learning

   Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

   Författare :Adam Hjalmarsson; Leon Ericsson; [2023]
   Nyckelord :4D Flow MRI; Ensemble learning; Super-resolution; Machine learning; Neural networks; 4DFlowNet;

   Sammanfattning : 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

4. 3. Deep learning for temporal super-resolution of 4D Flow MRI

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Pia Callmer; [2023]
   Nyckelord :Temporal super-resolution; 4D Flow MRI; CNN; Artificial Intelligence; MRI; 4D flow; Temporal superupplösning; 4D flöde MRI; CNN; artificiell intelligens; MRI; 4D-flöde;

   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

5. 4. Optimization-Based Geometry Correction Of Blood Flow CFD Simulations Using 4D-Flow Data

   Master-uppsats, Lunds universitet/Institutionen för energivetenskaper

   Författare :Fritiof Hegardt; [2022]
   Nyckelord :Technology and Engineering;

   Sammanfattning : 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

7. 5. Using Deep Learning to SegmentCardiovascular 4D Flow MRI : 3D U-Net for cardiovascular 4D flow MRI segmentation and Bayesian 3D U-Net for uncertainty estimation

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Omkar Bhutra; [2021]
   Nyckelord :Convolutional Neural Networks; 4D flow MRI; 3D U-Net; Cardiovascularimage segmentation; Uncertainty estimation; Bayesian 3D U-Net;

   Sammanfattning : Deep convolutional neural networks (CNN’s) have achieved state-of-the-art accuraciesfor multi-class segmentation in biomedical image science. In this thesis, A 3D U-Net isused to segment 4D flow Magnetic Resonance Images that include the heart and its largevessels. LÄS MER