| Literature DB >> 25487610 |
Ivana Išgum1, Manon J N L Benders2, Brian Avants3, M Jorge Cardoso4, Serena J Counsell5, Elda Fischi Gomez6, Laura Gui7, Petra S Hűppi7, Karina J Kersbergen2, Antonios Makropoulos8, Andrew Melbourne4, Pim Moeskops1, Christian P Mol1, Maria Kuklisova-Murgasova5, Daniel Rueckert9, Julia A Schnabel10, Vedran Srhoj-Egekher11, Jue Wu3, Siying Wang10, Linda S de Vries2, Max A Viergever1.
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.Entities:
Keywords: Brain segmentation; MRI; Neonatal brain; Segmentation comparison; Segmentation evaluation
Mesh：
Year: 2014 PMID： 25487610 DOI： 10.1016/j.media.2014.11.001
Source DB: PubMed Journal: Med Image Anal ISSN： 1361-8415 Impact factor: 8.545