MRI FLAIR lesion segmentation in multiple sclerosis: Does automated segmentation hold up with manual annotation?

2016118 citationsJournal Articlegold Open Access

Authors

Christine Egger · University of Zurich

Roland Opfer · University Hospital of Zurich

Chenyu Wang · University of Sydney

Timo Kepp · Jungheinrich (Germany)

Maria Pia Sormani · University of Genoa

Lothar Spies · Jungheinrich (Germany)

Michael Barnett ·

Abstract

Automated lesion volume quantification can be applied reliably on FLAIR data sets using the SPM based algorithm of Schmidt et al. and shows good agreement with manual segmentation.

Topics & Keywords

Multiple Sclerosis Research Studies Ultrasound Imaging and Elastography Ultrasound and Hyperthermia Applications

Publication Details

Published in: NeuroImage Clinical

Volume 13, pp. 264-270

DOI: 10.1016/j.nicl.2016.11.020

Field-Weighted Citation Impact: 6.64

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MRI FLAIR lesion segmentation in multiple sclerosis: Does automated segmentation hold up with manual annotation?

Authors

Abstract

Topics & Keywords

Publication Details