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Dokumenttyp:
journal article 
Autor(en):
Schmidt, P; Gaser, C; Arsic, M; Buck, D; Förschler, A; Berthele, A; Hoshi, M; Ilg, R; Schmid, VJ; Zimmer, C; Hemmer, B; Mühlau, M 
Titel:
An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis. 
Abstract:
In Multiple Sclerosis (MS), detection of T2-hyperintense white matter (WM) lesions on magnetic resonance imaging (MRI) has become a crucial criterion for diagnosis and predicting prognosis in early disease. Automated lesion detection is not only desirable with regard to time and cost effectiveness but also constitutes a prerequisite to minimize user bias. Here, we developed and evaluated an algorithm for automated lesion detection requiring a three-dimensional (3D) gradient echo (GRE) T1-weighte...    »
 
Zeitschriftentitel:
Neuroimage 
Jahr:
2012 
Band / Volume:
59 
Heft / Issue:
Seitenangaben Beitrag:
3774-83 
Sprache:
eng 
Print-ISSN:
1053-8119 
TUM Einrichtung:
Neurologische Klinik und Poliklinik; r Neuroradiologie