Sökning: "Cardiovascular Magnetic Resonance Imaging"

Visar resultat 1 - 5 av 22 uppsatser innehållade orden Cardiovascular Magnetic Resonance Imaging.

1. 1. Enabling Hybrid Real Time and Retrospectively Gated Imaging in a Numerical Phantom

   Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Författare :Sara Mineur; [2023]
   Nyckelord :Cardiovascular Magnetic resonance Imaging CMR ; Sector Wise Golden-Angle SWIG ;

   Sammanfattning : Sector-Wise Golden Angle (SWIG) is a novel approach that was developed to address the limitations associated with Golden Angle radial imaging, commonly used for high temporal resolution flow measurements. Golden angle radial imaging is a time-efficient method that effectively reduces motion sensitivity. LÄS MER

3. 2. Validation of Simultaneous T1 and T2 Mapping Using Cardiac Magnetic Resonance Fingerprinting in Self-Constructed Phantoms : An Analysis of the Reproducibility and Accuracy

   Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Författare :Sasithon Meesan; [2023]
   Nyckelord :Cardiac Magnetic Resonance Fingerprinting cMRF ; Cardiac Magnetic Resonance Imaging CMR ; Simultaneous T1 and T2 Mapping; Validation; Accuracy; Reproducibility; Cardiac Magnetic Resonance Fingerprinting cMRF ; Kardiovaskulär Magnetresonans CMR ; Simultant T1 och T2 Parametrisk-Karaktärisering; Validering; Noggrannhet; Reproducerbarhet;

   Sammanfattning : Quantitative cardiac magnetic resonance imaging (CMR) has gained traction within both the clinical and research field due to high prevalence of cardiovascular diseases. Cardiac magnetic resonance fingerprinting (cMRF) is a novel approach introduced to address the limitation associated with evaluation of multiparametric quantitative CMR. LÄS MER

4. 3. 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

5. 4. 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

7. 5. Designing k-Space Filters to Improve Spatiotemporal Resolution with Sector-Wise Golden Angle (SWIG)

   Master-uppsats, KTH/Medicinteknik och hälsosystem

   Författare :Jonas Ström Seez; [2022]
   Nyckelord :Cardiovascular Magnetic Resonance Imaging CMR ; k-Space Filter; Sector Wise Golden-angle SWIG ; Kardiovaskulär Magnetisk Resonans Tomografi CMR ; k-rumsfilter; Sektorsvis Gyllene Vinkel SWIG ;

   Sammanfattning : The aim of this thesis is to design and evaluate k-space weighting filters for simultaneously improving the spatial and temporal resolution of cardiovascular MRI, with the ultimate goal of improving the accuracy of quantitative flow measurements, which are important for diagnosis and follow-up of heart dysfunction. Two different k-space filters were implemented and evaluated retrospectively to already acquired data. LÄS MER