Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Lesion filling"'
Autor:
Chris W. J. van der Weijden, Milena S. Pitombeira, Yudith R. A. Haveman, Carlos A. Sanchez-Catasus, Kenia R. Campanholo, Guilherme D. Kolinger, Carolina M. Rimkus, Carlos A. Buchpiguel, Rudi A. J. O. Dierckx, Remco J. Renken, Jan F. Meilof, Erik F. J. de Vries, Daniele de Paula Faria
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-13 (2022)
Abstract Background Graph theoretical network analysis with structural magnetic resonance imaging (MRI) of multiple sclerosis (MS) patients can be used to assess subtle changes in brain networks. However, the presence of multiple focal brain lesions
Externí odkaz:
https://doaj.org/article/f36789f3f1614f2694fe813dd3029138
Autor:
Ahmed M. Radwan, Louise Emsell, Jeroen Blommaert, Andrey Zhylka, Silvia Kovacs, Tom Theys, Nico Sollmann, Patrick Dupont, Stefan Sunaert
Publikováno v:
NeuroImage, Vol 229, Iss , Pp 117731- (2021)
Brain atlases and templates are at the heart of neuroimaging analyses, for which they facilitate multimodal registration, enable group comparisons and provide anatomical reference. However, as atlas-based approaches rely on correspondence mapping bet
Externí odkaz:
https://doaj.org/article/64457171947c4c85abb4021cbf3b7a81
Akademický článek
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Autor:
Ivan Dimitrov, Radoslav Georgiev, Ara Kaprelyan, Yavor Enchev, Margarita Grudkova, Nataliya Usheva, Borislav Ivanov
Publikováno v:
Journal of IMAB, Vol 22, Iss 1, Pp 1029-1032 (2016)
Background: The continuous progress of information technology has made possible the creation of tools for post processing of magnetic resonance and other imaging modalities, including software programmes aimed at volumetric studies of the brain. They
Externí odkaz:
https://doaj.org/article/b01e7611db9d47edb97173467911489e
Quantifying brain tissue volume in multiple sclerosis with automated lesion segmentation and filling
Autor:
Sergi Valverde, Arnau Oliver, Eloy Roura, Deborah Pareto, Joan C. Vilanova, Lluís Ramió-Torrentà, Jaume Sastre-Garriga, Xavier Montalban, Àlex Rovira, Xavier Lladó
Publikováno v:
NeuroImage: Clinical, Vol 9, Iss C, Pp 640-647 (2015)
Lesion filling has been successfully applied to reduce the effect of hypo-intense T1-w Multiple Sclerosis (MS) lesions on automatic brain tissue segmentation. However, a study of fully automated pipelines incorporating lesion segmentation and lesion
Externí odkaz:
https://doaj.org/article/13a2bfe25d104681b78206a8d938ac2e
Publikováno v:
NeuroImage: Clinical, Vol 4, Iss C, Pp 366-373 (2014)
Background: In multiple sclerosis (MS), brain atrophy quantification is affected by white matter lesions. LEAP and FSL-lesion_filling, replace lesion voxels with white matter intensities; however, they require precise lesion identification on 3DT1-im
Externí odkaz:
https://doaj.org/article/ed6dac84143e4a6b8160560b1d861e5a
Publikováno v:
NeuroImage: Clinical, Vol 6, Iss C, Pp 86-92 (2014)
Multiple sclerosis white matter (WM) lesions can affect brain tissue volume measurements of voxel-wise segmentation methods if these lesions are included in the segmentation process. Several authors have presented different techniques to improve brai
Externí odkaz:
https://doaj.org/article/96878d25eda34a87a8d866818875a5b7
Akademický článek
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K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Nico Sollmann, Andrey Zhylka, Patrick Dupont, Silvia Kovacs, Stefan Sunaert, Ahmed Radwan, Louise Emsell, Tom Theys, Jeroen Blommaert
Publikováno v:
Neuroimage, 229:117731. Academic Press Inc.
NeuroImage, Vol 229, Iss, Pp 117731-(2021)
NeuroImage, Vol 229, Iss, Pp 117731-(2021)
Brain atlases and templates are at the heart of neuroimaging analyses, for which they facilitate multimodal registration, enable group comparisons and provide anatomical reference. However, as atlas-based approaches rely on correspondence mapping bet