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Showing 1 to 5 of 5 for “"TOF-MRA"”.

  1. Non-invasive diagnostic methods of intracranial arteries

    … of different magnetic resonance angiography(MRA) techniques and digital subtraction angiography (DSA) in follow-up of intracranial aneurysms treated with coils in order to select the best MRA method, to evaluate the impact of increased iodine concentration in contrast medium and decreased …

    lund Repository record for Non-invasive diagnostic methods of intracranial arteries (opens in a new tab)

  2. Étude des liens entre les mesures quantitatives de la vascularisation cérébrale, les fonctions cognitives et la neuropathologie dans la maladie d’Alzheimer

    … time-of-flight magnetic resonance angiography (TOF-MRA) and their quantitative measurements were calculated using a newly developed artificial intelligence algorithm. Cognitive status was assessed by MMSE (Mini-Mental State Examination), CDR, and several neuropsychological tests, including …

    sherbrooke Repository record for Étude des liens entre les mesures quantitatives de la vascularisation cérébrale, les fonctions cognitives et la neuropathologie dans la maladie d’Alzheimer (opens in a new tab)

  3. Segmentation et extraction de caractéristiques des vaisseaux sanguins cérébraux à l'aide de l'IRM

    … time-of-flight magnetic resonance angiography (TOF MRA) to visualize the arteries. These images allow having a structural representation of vessels in the brain. This thesis presents a method to segment blood vessels from structural images and extract their features. Using the segmentation mask, …

    sherbrooke Repository record for Segmentation et extraction de caractéristiques des vaisseaux sanguins cérébraux à l'aide de l'IRM (opens in a new tab)

  4. Applications of Machine Learning to Neuroimage Analysis in Cerebral Small Vessel Disease

    … time-of-flight magnetic resonance angiography (TOF-MRA). A two-staged approach was adopted: in the vessel segmentation stage, three leading DL and non-DL segmentation methods were evaluated, namely the DS6 DL model, the nnU-Net DL model, and the classical Frangi filter-based pipeline, MSFDF; in …

    cambridge Repository record for Applications of Machine Learning to Neuroimage Analysis in Cerebral Small Vessel Disease (opens in a new tab)