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Titel:

An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis.

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; Muhlau, M
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:
4
Seitenangaben Beitrag:
3774-83
Sprache:
eng
Volltext / DOI:
doi:10.1016/j.neuroimage.2011.11.032
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/22119648
Print-ISSN:
1053-8119
TUM Einrichtung:
Fachgebiet Neuroradiologie (Prof. Zimmer); Neurologische Klinik und Poliklinik
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