A toolbox for multiple sclerosis lesion segmentation
dc.contributor.author
dc.date.accessioned
2016-07-07T05:49:53Z
dc.date.available
2016-07-07T05:49:53Z
dc.date.issued
2015-07-31
dc.identifier.issn
0028-3940
dc.identifier.uri
dc.description.abstract
Lesion segmentation plays an important role in the diagnosis and follow-up of multiple sclerosis (MS). This task is very time-consuming and subject to intra- and inter-rater variability. In this paper, we present a new tool for automated MS lesion segmentation using T1w and fluid-attenuated inversion recovery (FLAIR) images. Methods: Our approach is based on two main steps, initial brain tissue segmentation according to the gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF) performed in T1w images, followed by a second step where the lesions are segmented as outliers to the normal apparent GM brain tissue on the FLAIR image. Results: The tool has been validated using data from more than 100 MS patients acquired with different scanners and at different magnetic field strengths. Quantitative evaluation provided a better performance in terms of precision while maintaining similar results on sensitivity and Dice similarity measures compared with those of other approaches. Conclusion: Our tool is implemented as a publicly available SPM8/12 extension that can be used by both the medical and research communities
dc.description.sponsorship
E. Roura holds a BRUdG2013 grant. S. Valverde holds a FI-DGR2013 grant from the Generalitat de Catalunya. This work has been partially supported by BLa Fundació la Marató de TV3^ and by Retos de Investigación TIN2014-55710-R
This work has been partially supported by BLa Fundació la Marató de TV3^ and by Retos de Investigación TIN2014-55710-R
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.relation
info:eu-repo/grantAgreement/MINECO//TIN2014-55710-R/ES/HERRAMIENTAS DE NEUROIMAGEN PARA MEJORAR EL DIAGNOSIS Y EL SEGUIMIENTO CLINICO DE LOS PACIENTES CON ESCLEROSIS MULTIPLE/
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Reproducció digital del document publicat a: http://dx.doi.org/10.1007/s00234-015-1552-2
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© Neuroradiology, 2015, vol. 57, núm. 10, p. 1031-1043
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Articles publicats (D-ATC)
dc.rights
Tots els drets reservats
dc.subject
dc.title
A toolbox for multiple sclerosis lesion segmentation
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/embargoedAccess
dc.embargo.terms
Cap
dc.date.embargoEndDate
info:eu-repo/date/embargoEnd/2026-01-01
dc.type.version
info:eu-repo/semantics/publishedVersion
dc.identifier.doi
dc.identifier.idgrec
023736
dc.contributor.funder
dc.relation.ProjectAcronym
dc.identifier.eissn
1432-1920