Show simple item record

dc.contributor.authorKuijf, Hugo J.
dc.contributor.authorBiesbroek, J. Matthijs
dc.contributor.authorDe Bresser, Jeroen
dc.contributor.authorCasamitjana Díaz, Adrià
dc.contributor.authorVilaplana Besler, Verónica
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2020-01-28T13:47:05Z
dc.date.available2020-01-28T13:47:05Z
dc.date.issued2019-03
dc.identifier.citationKuijf, H. [et al.]. Standardized assessment of automatic segmentation of white matter hyperintensities; results of the WMH segmentation challenge. "IEEE transactions on medical imaging", Març 2019, vol. 38, núm. 11, p. 2556-2568.
dc.identifier.issn0278-0062
dc.identifier.otherhttps://arxiv.org/abs/1904.00682
dc.identifier.urihttp://hdl.handle.net/2117/175943
dc.description© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.description.abstractQuantification of white matter hyperintensities (WMH) of presumed vascular origin is of key importance in many neurological research studies. Advanced measurements are obtained from manual segmentations on brain MR images, which is a laborious procedure. Automatic WMH segmentation methods exist, but a standardized comparison of such methods is lacking. We organized a scientific challenge, in which developers could evaluate their method on a standardized multi-center/-scanner image dataset, giving an objective comparison: the WMH Segmentation Challenge (http://wmh.isi.uu.nl/). Sixty T1+FLAIR images from three MR scanners were released with manual WMH segmentations. A secret test set of 110 images from five MR scanners was used for evaluation. Methods had to be containerized and submitted to the challenge organizers. Five evaluation metrics were used to rank the methods: (1) Dice Similarity Coefficient, (2) modified Hausdorff distance (95th percentile), (3) absolute percentage volume difference, (4) sensitivity for detecting individual lesions, and (5) F1-score for individual lesions. Additionally, methods were ranked on their inter-scanner robustness. Twenty participants submitted their method for evaluation. This paper provides a detailed analysis of the results. In brief, there is a cluster of four methods that rank significantly better than the other methods. There is one clear winner, which also has the best inter-scanner robustness. The challenge remains open for future submissions and provides a public platform for method evaluation.
dc.format.extent13 p.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica::Aparells mèdics::Aparells de radiologia mèdica
dc.subject.lcshMagnetic resonance imaging
dc.subject.lcshBrain -- Magnetic resonance imaging
dc.subject.otherMagnetic resonance imaging (MRI)
dc.subject.otherBrain
dc.subject.otherEvaluation and performance
dc.subject.otherSegmentation
dc.titleStandardized assessment of automatic segmentation of white matter hyperintensities; results of the WMH segmentation challenge
dc.typeArticle
dc.subject.lemacImatgeria per ressonància magnètica
dc.subject.lemacCervell -- Imatges per ressonància magnètica
dc.contributor.groupUniversitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.identifier.doi10.1109/TMI.2019.2905770
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/8669968
dc.rights.accessOpen Access
local.identifier.drac24259662
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/TEC2016-75976-R
local.citation.authorKuijf, H.; Biesbroek, J.; De Bresser, J.; Casamitjana, A.; Vilaplana, V.
local.citation.publicationNameIEEE transactions on medical imaging
local.citation.volume38
local.citation.number11
local.citation.startingPage2556
local.citation.endingPage2568


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder