Essays about: "Phase image MRI"

Showing result 1 - 5 of 20 essays containing the words Phase image MRI.

  1. 1. 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

  3. 2. Phase Unwrapping MRI Flow Measurements

    University essay from Uppsala universitet/Avdelningen Vi3

    Author : Mio Liljeblad; [2023]
    Keywords : phase unwrapping; computer vision; cine MRI; NMR; flow measurements; velocity encoding; venc; energy minimization; magnetic resonance; cardiac MRI; sinotubuar junction; pulmonary artery; ascending descending aorta; laplacian algorithm; iterative graph cuts; IGC; sequential tree-reweighted message passing; TRW-S; velocity to noise ratio; VNR; retrospective wrapping; energy formulation;

    Abstract : Magnetic resonance images (MRI) are acquired by sampling the current of induced electromotiveforce (EMF). EMF is induced due to flux of the net magnetic field from coherent nuclear spins with intrinsic magnetic dipole moments. READ MORE

  4. 3. Designing k-Space Filters to Improve Spatiotemporal Resolution with Sector-Wise Golden Angle (SWIG)

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Jonas Ström Seez; [2022]
    Keywords : Cardiovascular Magnetic Resonance Imaging CMR ; k-Space Filter; Sector Wise Golden-angle SWIG ; Kardiovaskulär Magnetisk Resonans Tomografi CMR ; k-rumsfilter; Sektorsvis Gyllene Vinkel SWIG ;

    Abstract : 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. READ MORE

  5. 4. Functional connectivity analysis in the human brain using ultra-high field MRI

    University essay from Lunds universitet/Examensarbeten i bioinformatik

    Author : Theodor Rumetshofer; [2021]
    Keywords : Biology and Life Sciences;

    Abstract : Introduction: Functional magnetic resonance imaging (MRI) is a non-invasive method which uses a combination of a strong magnetic field and radio frequency pulses to image magnetic difference between oxygenated and deoxygenated blood in the human brain. This contrast differences can be used to identify areas in the brain when subjects performing an active task in the MRI scanner. READ MORE

  6. 5. Movement tracking of the carotid artery with 4D ultrasound imaging

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Anny Eriksson Bernholtz; [2019]
    Keywords : imaging; movement tracking; ultrasound; Technology and Engineering;

    Abstract : The leading cause of death in the world is cardiovascular diseases. Scientific discoveries have been made that correlate the movement of the arterial walls and blood flow patterns with cardiovascular diseases. These movements have been studied with ultrasound 2D imaging. READ MORE