Essays about: "medical resonance imaging"

Showing result 1 - 5 of 61 essays containing the words medical resonance imaging.

  1. 1. Robustness Analysis of Perfusion Parameter Calculations

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Alicia Palmér; [2024]
    Keywords : Perfusion; Medical image analysis; Dynamic Contrast Enhanced Magnetic Resonance Imaging; Tofts model; Functional imaging; Optimization; T1 map; Perfusion; Medicinsk bildanalys; Dynamisk kontrastförstärkt magnetisk resonanstomografibildtagning; Tofts-modell; Funktionell bildbehandling; Optimering; T1 karta;

    Abstract : Cancer is one of the most common causes of death worldwide. When given optimal treatment, however, the risk of severe illness may greatly be reduced. Determining optimal treatment in turn requires evaluation of disease progression and response to potential, previous treatment. READ MORE

  3. 2. Anatomical segmentation of the human brain: comparative assessment of two automatic methods

    University essay from

    Author : Carl von Dorrien; [2023-08-22]
    Keywords : Medical physics; MAPER; FreeSurfer; FastSurfer; Automatic brain segmentation; MRI; Deep Neural Network; Brain;

    Abstract : Magnetic Resonance Imaging (MRI) is a robust and versatile imaging modality and an integral component of a lot of studies, especially when performing quantitative analysis. MRI is the preferred method of imaging the brain because of its excellent soft tissue contrast. READ MORE

  4. 3. Preprocessing for intravoxel incoherent motion analysis in the brain - Signal drift correction

    University essay from

    Author : Amina Warsame; [2023-04-17]
    Keywords : Medical physics; Diffusion magnetic resonance imaging; dMRI; Intravoxel incoherent motion; IVIM;

    Abstract : Diffusion magnetic resonance imaging (dMRI) is a diagnostic imaging technique that is sensitized to the movement of water molecules in tissues. Intravoxel incoherent motion (IVIM) analysis can be used to estimate blood flow in capillaries from weakly diffusion-weighted data. READ MORE

  5. 4. Comparative Analysis of Transformer and CNN Based Models for 2D Brain Tumor Segmentation

    University essay from Linköpings universitet/Institutionen för medicinsk teknik

    Author : Henrik Träff; [2023]
    Keywords : Machine Learning; ML; AI; Computer vision; Vision Transformer; Swin Transformer; U-Net; nnU-Net; Brain Tumor Segmentation; Deep Learning;

    Abstract : A brain tumor is an abnormal growth of cells within the brain, which can be categorized into primary and secondary tumor types. The most common type of primary tumors in adults are gliomas, which can be further classified into high-grade gliomas (HGGs) and low-grade gliomas (LGGs). READ MORE

  6. 5. Deep Learning for the prediction of RASER-MRI profiles

    University essay from Linköpings universitet/Medie- och Informationsteknik

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

    Abstract : 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. READ MORE