Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Gino Gulamhussene"'
Autor:
Gino Gulamhussene, Marko Rak, Oleksii Bashkanov, Fabian Joeres, Jazan Omari, Maciej Pech, Christian Hansen
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Time-resolved volumetric magnetic resonance imaging (4D MRI) could be used to address organ motion in image-guided interventions like tumor ablation. Current 4D reconstruction techniques are unsuitable for most interventional settings becaus
Externí odkaz:
https://doaj.org/article/dafafdd333aa46dd9b0d411af05ef1c1
Publikováno v:
PLoS ONE, Vol 15, Iss 6, p e0235175 (2020)
PurposeWe aim to develop a robust 4D MRI method for large FOVs enabling the extraction of irregular respiratory motion that is readily usable with all MRI machines and thus applicable to support a wide range of interventional settings.MethodWe propos
Externí odkaz:
https://doaj.org/article/26e9209badf8405bae55b0a44c4c11cc
Autor:
Gino Gulamhussene, Marko Rak, Oleksii Bashkanov, Fabian Joeres, Jazan Omari, Maciej Pech, Christian Hansen
Time-resolved volumetric magnetic resonance imaging (4D MRI) could be used to address organ motion in image-guidedinterventions like tumor ablation. Current 4D reconstruction techniques are unsuitable for most interventional settings becausethey are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bfda06153cf6b6f26c0a1022d5d0a245
https://doi.org/10.21203/rs.3.rs-2202192/v1
https://doi.org/10.21203/rs.3.rs-2202192/v1
Publikováno v:
Informatik aktuell ISBN: 9783662462232
Bildverarbeitung für die Medizin
Bildverarbeitung für die Medizin
Epidemiology studies on vertebra’s shape and appearance require big databases of medical images and image processing methods, that are robust against deformation and noise. This work presents a solution of the first step: the vertebrae detection. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::101a14689665f9f8c7433d4be7a419c9
https://doi.org/10.1007/978-3-662-46224-9_3
https://doi.org/10.1007/978-3-662-46224-9_3