Sökning: "Magnetic Resonance Imaging Heart"

Visar resultat 1 - 5 av 20 uppsatser innehållade orden Magnetic Resonance Imaging Heart.

  1. 1. Domain Adaptation for Multi-Contrast Image Segmentation in Cardiac Magnetic Resonance Imaging

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

    Författare :Thomas Proudhon; [2023]
    Nyckelord :Cardiac Magnetic Resonance Imaging; Deep Learning; Domain Adaptation; Unsupervised Segmentation; Image-to-image Translation;

    Sammanfattning : Accurate segmentation of the ventricles and myocardium on Cardiac Magnetic Resonance (CMR) images is crucial to assess the functioning of the heart or to diagnose patients suffering from myocardial infarction. However, the domain shift existing between the multiple sequences of CMR data prevents a deep learning model trained on a specific contrast to be used on a different sequence. LÄS MER

  3. 2. 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

  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. 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

  7. 5. Reduction of streak artifacts in radial MRI using CycleGAN

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

    Författare :Amanda Ullvin; [2020]
    Nyckelord :MRI; Cardiovascular; CMR; Medical Imaging; Radial k-space sampling; Sub-Nyquist sampling; Golden Angle; GRASP; Compressed Sensing; Artificial Intelligence; Neural Network; Deep Learning; GAN; CycleGAN;

    Sammanfattning : One way of reducing the examination time in magnetic resonance imaging (MRI) is to reduce the amount of raw data acquired, by performing so-called undersampling. Conventionally, MRI data is acquired line-by-line on a Cartesian grid. LÄS MER