Sökning: "Synthetic MRI"

Visar resultat 1 - 5 av 22 uppsatser innehållade orden Synthetic MRI.

  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. Deep Learning for the prediction of RASER-MRI profiles

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik

    Författare :Filip Arvidsson; Jonas Bertilson; [2023]
    Nyckelord :MRI; NMR; AI; Deep Learning; RASER-MRI; Media Technology; KIT; LIU; CNN; Autoencoder; Djupinlärning; Medieteknik; Magnetröntgen;

    Sammanfattning : Magnetic resonance imaging (MRI) is a critical diagnostic tool in medical practice, enabling non-invasive visualization of anatomy and physiological processes. Nonetheless, MRI has inherent spatial resolution limitations, which may limit its diagnostic capabilities. LÄS MER

  4. 3. 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

  5. 4. Generating Synthetic CT Images Using Diffusion Models

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Salih Saleh; [2023]
    Nyckelord :Machine learning; artificial intelligence; generative models; diffusion models; MRI; CT; synthetic CT; radiation therapy;

    Sammanfattning : Magnetic resonance (MR) images together with computed tomography (CT) images are used in many medical practices, such as radiation therapy. To capture those images, patients have to undergo two separate scans: one for the MR image, which involves using strong magnetic fields, and one for the CT image which involves using radiation (x-rays). LÄS MER

  7. 5. osimetric impact of system spe cific geometric distortion on head and neck treatment plans in MRI only based radiation therapy

    Master-uppsats,

    Författare :Jesper Brovall; [2022-01-13]
    Nyckelord :Medical physics; Dosimetry; MRI; Radiation therapy;

    Sammanfattning : Background/ purpose: Because of the superior soft tissue contrast, in comparison with computed tomography (CT) data, magnetic resonance imaging (MRI) is of high interest to include in a larger extent in the ra diation therapy (RT) process. In an MRI only workflow, the CT scan is excluded and a synthetic CT is used for treatment plan ning. LÄS MER