Avancerad sökning

Visar resultat 6 - 7 av 7 avhandlingar som matchar ovanstående sökkriterier.

1. 6. Development and application of rule- and learning-based approaches within the scope of neuroimaging : Tensor voting, tractography and machine learning

   Författare :Daniel Jörgens; Rodrigo Moreno; Örjan Smedby; Chunliang Wang; Jesper Andersson; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; tensor voting; tractography; deep learning; tractogram filtering; diffusion magnetic resonance imaging; tensorröstning; traktografi; djupinlärning; traktogramfiltrering; diffusions-MRT; Tillämpad medicinsk teknik; Applied Medical Technology;

   Sammanfattning : The opportunity to non-invasively probe the structure and function of different parts of the human body makes medical imaging an indispensable tool in clinical diagnostics and related fields of research. Especially neuroscientists rely on modalities like structural or functional Magnetic Resonance Imaging, Computed Tomography or Positron Emission Tomography to study the human brain in vivo. LÄS MER

3. 7. Quantitative MRI Biomarkers of Neurodegeneration in Multiple Sclerosis

   Författare :Michael Platten; Tobias Granberg; Chunliang Wang; Fredrik Piehl; Sara Shams; Mattias Vågberg; KTH; Karolinska Institutet; Karolinska Institutet; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Machine learning; Multiple sclerosis; Corpus callosum; Neurodegeneration; Medical Technology; Medicinsk teknologi;

   Sammanfattning : Background: Multiple sclerosis (MS) is a chronic neuroinflammatory and neurodegenerative disease that targets myelin in the brain and spinal cord. The corpus callosum connects the cerebral hemispheres and is composed of heavily myelinated axons. LÄS MER