Sökning: "K-space"

Visar resultat 1 - 5 av 15 uppsatser innehållade ordet K-space.

  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. 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. 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

  5. 4. 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

  7. 5. CURRENT OVERSAMPLING ANALYSIS FOR ADVANCED CONTROL OF ELECTRIC AC DRIVES

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Marco Giuliato; [2019]
    Nyckelord :;

    Sammanfattning : The main purpose of this thesis is to develop a sensorless control for a synchronous reluctance motor by using the slope measurement of the current ripple introduced by the Space Vector Modulation.The position estimation is performed at each Space Vector Pulse Width Modulation period and it relies on the estimation of current derivatives. LÄS MER