Automatic segmentation of nucleus accumbens

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorVigario, Ricardo
dc.contributor.authorSem, Federico
dc.contributor.departmentTietotekniikan laitosfi
dc.contributor.schoolPerustieteiden korkeakoulufi
dc.contributor.schoolSchool of Scienceen
dc.contributor.supervisorOja, Erkki|Igual, Laura
dc.date.accessioned2020-12-28T10:28:48Z
dc.date.available2020-12-28T10:28:48Z
dc.date.issued2012
dc.description.abstractSegmentation of subcortical structures in the brain through MRI scans has become an increasingly important topic in contemporary medicine. An area of the brain whose possible segmentation has received particular attention is the Nucleus Accumbens (NA), which is believed to play a central role in the reward circuit. The use of a reliable automated segmentation method would represent an extremely helpful and efficient tool for medical teams, since many disorders (such as ADHD) cause variations in the volume of the NA. Consequently, the main objective of the thesis is the implementation of a robust algorithm for segmenting the Nucleus Accumbens structure. We apply state of the art segmentation methods to the NA, using three different methods; firstly, the standard Atlas Segmentation Approach is used, showing generally poor results paired with long computational times and high complexity. In addition, Multi Atlas Segmentation and Adaptive Multi Atlas Segmentation methods are implemented. The results show improved accuracy and better performance than the single Atlas approach. Finally, we propose a prototype of GUI aimed at implementing a semi supervised segmentation approach, aimed at exploiting the knowledge of human experts to refine the segmentation results, and targeted to medical use.en
dc.format.extent[7] + 123
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/100311
dc.identifier.urnURN:NBN:fi:aalto-2020122859142
dc.language.isoenen
dc.programme.majorInformaatiotekniikkafi
dc.programme.mcodeT-61fi
dc.rights.accesslevelclosedAccess
dc.subject.keywordnucleus accumbensen
dc.subject.keywordsegmentationen
dc.subject.keywordmanualen
dc.subject.keywordautomaticen
dc.subject.keywordAtlasen
dc.subject.keywordMRIen
dc.titleAutomatic segmentation of nucleus accumbensen
dc.type.okmG2 Pro gradu, diplomityö
dc.type.ontasotMaster's thesisen
dc.type.ontasotPro gradu -tutkielmafi
dc.type.publicationmasterThesis
local.aalto.digiauthask
local.aalto.digifolderAalto_11871
local.aalto.idinssi45388
local.aalto.openaccessno
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