Abstract：
:A number of algorithms for brain segmentation in preterm born infants have been published, but a reliable comparison of their performance is lacking. The NeoBrainS12 study (http://neobrains12.isi.uu.nl), providing three different image sets of preterm born infants, was set up to provide such a comparison. These sets are (i) axial scans acquired at 40 weeks corrected age, (ii) coronal scans acquired at 30 weeks corrected age and (iii) coronal scans acquired at 40 weeks corrected age. Each of these three sets consists of three T1- and T2-weighted MR images of the brain acquired with a 3T MRI scanner. The task was to segment cortical grey matter, non-myelinated and myelinated white matter, brainstem, basal ganglia and thalami, cerebellum, and cerebrospinal fluid in the ventricles and in the extracerebral space separately. Any team could upload the results and all segmentations were evaluated in the same way. This paper presents the results of eight participating teams. The results demonstrate that the participating methods were able to segment all tissue classes well, except myelinated white matter.
journal_name
Med Image Analjournal_title
Medical image analysisauthors
Išgum I,Benders MJ,Avants B,Cardoso MJ,Counsell SJ,Gomez EF,Gui L,Hűppi PS,Kersbergen KJ,Makropoulos A,Melbourne A,Moeskops P,Mol CP,Kuklisova-Murgasova M,Rueckert D,Schnabel JA,Srhoj-Egekher V,Wu J,Wang S,de Vriesdoi
10.1016/j.media.2014.11.001subject
Has Abstractpub_date
2015-02-01 00:00:00pages
135-51issue
1eissn
1361-8415issn
1361-8423pii
S1361-8415(14)00158-3journal_volume
20pub_type
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