Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Alexandra van Wijnen"'
Multimodal Quantitative MRI Reveals No Evidence for Tissue Pathology in Idiopathic Cervical Dystonia
Autor:
René-Maxime Gracien, Franca Petrov, Pavel Hok, Alexandra van Wijnen, Michelle Maiworm, Alexander Seiler, Ralf Deichmann, Simon Baudrexel
Publikováno v:
Frontiers in Neurology, Vol 10 (2019)
Background: While in symptomatic forms of dystonia cerebral pathology is by definition present, it is unclear so far whether disease is associated with microstructural cerebral changes in idiopathic dystonia. Previous quantitative MRI (qMRI) studies
Externí odkaz:
https://doaj.org/article/f025c139d436410f9411a9bbdf550d27
Autor:
Franca Petrov, Michelle Maiworm, Christian Foerch, Helmuth Steinmetz, Johannes C. Klein, Elke Hattingen, Ralf Deichmann, René-Maxime Gracien, Alexandra van Wijnen, Marlies Wagner, Stefan Frisch
Publikováno v:
European Radiology. 30:1045-1053
We aimed to assess cortical damage in patients with relapsing-remitting multiple sclerosis (RRMS)/clinically isolated syndrome (CIS) with a multiparametric, surface-based quantitative MRI (qMRI) approach and to evaluate the correlation of imaging-der
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc2d8f1096ec5c16ab93d65fbf51e395
https://doi.org/10.1007/s00330-019-06437-9
https://doi.org/10.1007/s00330-019-06437-9
Autor:
Alexandra van Wijnen, Michelle Maiworm, Franca Petrov, Felix Rosenow, Nina Merkel, Ralf Deichmann, René-Maxime Gracien, Helmuth Steinmetz, Susanne Knake, Marlies Wagner, Esther Paule
Publikováno v:
Magnetic Resonance Imaging. 61:158-166
Structural cerebral MRI analysis in patients with neurological diseases usually requires T1-weighted datasets for tissue segmentation. For this purpose, synthetic T1-weighted images which are constructed from quantitative maps of the underlying tissu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0de6b1c390062e198a0a1853508960b6
https://doi.org/10.1016/j.mri.2019.05.013
https://doi.org/10.1016/j.mri.2019.05.013