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Name
Danish Research Centre for Magnetic Resonance (DRCMR)
Type
Publication Repository
Items
22 Publications
Compatibility
OpenAIRE Basic (DRIVER OA)
OAI-PMH
http://eprints.drcmr.dk/cgi/oai2

 

  • Introduktion til teknikken bag MR-skanning

    Man kan optage billeder med en MR-skanner uden at forstå princippet bag, men det kræver forståelse at opsøge de rette parametre og målemetoder, og at fortolke billeder og artefakter. Teksten her udgør en introduktion til teknikken bag magnetisk resonans (MR) skanning. Dele er møntet på begyndere med et minimum af teknisk baggrund, mens andre dele sigter lidt højere. Dette afspejler, at noterne er skrevet i forbindelse med undervisning af personer med blandet baggrund.

    MR-skanning ved 7 tesla feltstyrke etableres i Danmark

    Igennem længere tid har en bred kreds af forskere og klinikere på hospitaler og universiteter [1] forsøgt at rejse de nødvendige midler til at etablere ultrahøjfelts MR-skanning i Danmark. I juni 2010 udløstes jubel, da “the John and Birthe Meyer Foundation” meget generøst bevilgede 38,6 Mkr til indkøb af en human MR-skanner med en feltstyrke på 7 tesla. Dette svarer til cirka 140 tusind gange jordens magnetfelt hvilket mere end fordobler hospitalernes hidt...

    DRCMR Annual Report 2009-2010

    The 2009-2010 annual report of the Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Denmark.

    Encoding of electrophysiology and other signals in MR images.

    PURPOSE: To develop a gradient insensitive, generic technique for recording of non-MR signals by use of surplus scanner bandwidth. MATERIALS AND METHODS: Relatively simple battery driven hardware is used to transform one or more signals into radio waves detectable by the MR scanner. Similar to the "magstripe" technique used for encoding of soundtracks in motion pictures, the electrical signals are in this way encoded as artifacts appearing in the MR images or spectra outside the region of int...

    Shift Invariant Multilinear Decomposition of Neuroimaging Data

    We present an algorithm for multilinear decomposition that allows for arbitrary shifts along one modality. The method is applied to neural activity arranged in the three modalities space, time, and trial. Thus, the algorithm models neural activity as a linear superposition of components with a fixed time course that may vary across either trials or space in its overall intensity and latency. Its utility is demonstrated on simulated data as well as actual EEG, and fMRI data. We show how shift-...
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