Sökning: "Elin Djerf"

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  1. 1. Automatic Detection of Common Signal Quality Issues in MRI Data using Deep Neural Networks

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Erika Ax; Elin Djerf; [2023]
    Nyckelord :mr; magnetic resonance; machine learning; deep learning; anomaly detection; U-Net; autoencoder; 3D; classification; reconstruction; artefacts;

    Sammanfattning : Magnetic resonance imaging (MRI) is a commonly used non-invasive imaging technique that provides high resolution images of soft tissue. One problem with MRI is that it is sensitive to signal quality issues. The issues can arise for various reasons, for example by metal located either inside or outside of the body. LÄS MER