Subcortical and hippocampal brain segmentation in 5-year-old children: Validation of FSL-FIRST and FreeSurfer against manual segmentation

dc.contributor.authorLidauer Kristian
dc.contributor.authorPulli Elmo P.
dc.contributor.authorCopeland Anni
dc.contributor.authorSilver Eero
dc.contributor.authorKumpulainen Venla
dc.contributor.authorHashempour Niloofar
dc.contributor.authorMerisaari Harri
dc.contributor.authorSaunavaara Jani
dc.contributor.authorParkkola Riitta
dc.contributor.authorLähdesmäki Tuire
dc.contributor.authorSaukko Ekaterina
dc.contributor.authorNolvi Saara
dc.contributor.authorKataja Eeva-Leena
dc.contributor.authorKarlsson Linnea
dc.contributor.authorKarlsson Hasse
dc.contributor.authorTuulari Jetro J.
dc.contributor.organizationfi=kliininen laitos|en=Department of Clinical Medicine|
dc.contributor.organization-code1.2.246.10.2458963.20.16217176722
dc.converis.publication-id176170660
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/176170660
dc.date.accessioned2022-10-28T12:32:40Z
dc.date.available2022-10-28T12:32:40Z
dc.description.abstract<p>Developing accurate subcortical volumetric quantification tools is crucial for neurodevelopmental studies, as they could reduce the need for challenging and time-consuming manual segmentation. In this study, the accuracy of two automated segmentation tools, FSL-FIRST (with three different boundary correction settings) and FreeSurfer, were compared against manual segmentation of the hippocampus and subcortical nuclei, including the amygdala, thalamus, putamen, globus pallidus, caudate and nucleus accumbens, using volumetric and correlation analyses in 80 5-year-olds.</p><p>Both FSL-FIRST and FreeSurfer overestimated the volume on all structures except the caudate, and the accuracy varied depending on the structure. Small structures such as the amygdala and nucleus accumbens, which are visually difficult to distinguish, produced significant overestimations and weaker correlations with all automated methods. Larger and more readily distinguishable structures such as the caudate and putamen produced notably lower overestimations and stronger correlations. Overall, the segmentations performed by FSL-FIRST's default pipeline were the most accurate, whereas FreeSurfer's results were weaker across the structures.</p><p>In line with prior studies, the accuracy of automated segmentation tools was imperfect with respect to manually defined structures. However, apart from amygdala and nucleus accumbens, FSL-FIRST's agreement could be considered satisfactory (Pearson correlation > 0.74, intraclass correlation coefficient (ICC) > 0.68 and Dice score coefficient (DSC) > 0.87) with highest values for the striatal structures (putamen, globus pallidus, caudate) (Pearson correlation > 0.77, ICC > 0.87 and DSC > 0.88, respectively). Overall, automated segmentation tools do not always provide satisfactory results, and careful visual inspection of the automated segmentations is strongly advised.</p>
dc.format.pagerange4641
dc.identifier.eissn1460-9568
dc.identifier.jour-issn0953-816X
dc.identifier.olddbid177186
dc.identifier.oldhandle10024/160280
dc.identifier.urihttps://www.utupub.fi/handle/11111/33084
dc.identifier.urlhttps://onlinelibrary.wiley.com/doi/10.1111/ejn.15761
dc.identifier.urnURN:NBN:fi-fe2022091258572
dc.language.isoen
dc.okm.affiliatedauthorPulli, Elmo
dc.okm.affiliatedauthorCopeland, Anni
dc.okm.affiliatedauthorSilver, Eero
dc.okm.affiliatedauthorKumpulainen, Venla
dc.okm.affiliatedauthorHashempour, Niloofar
dc.okm.affiliatedauthorMerisaari, Harri
dc.okm.affiliatedauthorSaunavaara, Jani
dc.okm.affiliatedauthorParkkola, Riitta
dc.okm.affiliatedauthorLähdesmäki, Tuire
dc.okm.affiliatedauthorSaukko, Ekaterina
dc.okm.affiliatedauthorNolvi, Saara
dc.okm.affiliatedauthorKataja, Eeva-Leena
dc.okm.affiliatedauthorKarlsson, Linnea
dc.okm.affiliatedauthorKarlsson, Hasse
dc.okm.affiliatedauthorTuulari, Jetro
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3124 Neurology and psychiatryen_GB
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherWILEY
dc.publisher.countryUnited Kingdomen_GB
dc.publisher.countryBritanniafi_FI
dc.publisher.country-codeGB
dc.relation.doi10.1111/ejn.15761
dc.relation.ispartofjournalEuropean Journal of Neuroscience
dc.relation.issue5
dc.relation.volume56
dc.source.identifierhttps://www.utupub.fi/handle/10024/160280
dc.titleSubcortical and hippocampal brain segmentation in 5-year-old children: Validation of FSL-FIRST and FreeSurfer against manual segmentation
dc.year.issued2022

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