Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates

Kurzanzeige
dc.contributor.authorPipitone, Jon
dc.contributor.authorPark, Min Tae M.
dc.contributor.authorWinterburn, Julie
dc.contributor.authorLett, Tristram A.
dc.contributor.authorLerch, Jason P.
dc.contributor.authorPruessner, Jens C.
dc.contributor.authorLepage, Martin
dc.contributor.authorVoineskos, Aristotle N.
dc.contributor.authorChakravarty, M. Mallar
dc.date.accessioned2017-04-10T08:49:06Z
dc.date.available2017-04-10T08:49:06Z
dc.date.issued2014-11eng
dc.description.abstractAdvances in image segmentation of magnetic resonance images (MRI) have demonstrated that multi-atlas approaches improve segmentation over regular atlas-based approaches. These approaches often rely on a large number of manually segmented atlases (e.g. 30-80) that take significant time and expertise to produce. We present an algorithm, MAGeT-Brain (Multiple Automatically Generated Templates), for the automatic segmentation of the hippocampus that minimises the number of atlases needed whilst still achieving similar agreement to multi-atlas approaches. Thus, our method acts as a reliable multi-atlas approach when using special or hard-to-define atlases that are laborious to construct.eng
dc.description.versionpublishedeng
dc.identifier.doi10.1016/j.neuroimage.2014.04.054eng
dc.identifier.pmid24784800eng
dc.identifier.ppn1663843333
dc.identifier.urihttps://kops.uni-konstanz.de/handle/123456789/38444
dc.language.isoengeng
dc.rightsterms-of-use
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dc.subject.ddc150eng
dc.titleMulti-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templateseng
dc.typeJOURNAL_ARTICLEeng
dspace.entity.typePublication
kops.citation.bibtex
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  year={2014},
  doi={10.1016/j.neuroimage.2014.04.054},
  title={Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates},
  volume={101},
  issn={1053-8119},
  journal={NeuroImage},
  pages={494--512},
  author={Pipitone, Jon and Park, Min Tae M. and Winterburn, Julie and Lett, Tristram A. and Lerch, Jason P. and Pruessner, Jens C. and Lepage, Martin and Voineskos, Aristotle N. and Chakravarty, M. Mallar}
}
kops.citation.iso690PIPITONE, Jon, Min Tae M. PARK, Julie WINTERBURN, Tristram A. LETT, Jason P. LERCH, Jens C. PRUESSNER, Martin LEPAGE, Aristotle N. VOINESKOS, M. Mallar CHAKRAVARTY, 2014. Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates. In: NeuroImage. 2014, 101, pp. 494-512. ISSN 1053-8119. eISSN 1095-9572. Available under: doi: 10.1016/j.neuroimage.2014.04.054deu
kops.citation.iso690PIPITONE, Jon, Min Tae M. PARK, Julie WINTERBURN, Tristram A. LETT, Jason P. LERCH, Jens C. PRUESSNER, Martin LEPAGE, Aristotle N. VOINESKOS, M. Mallar CHAKRAVARTY, 2014. Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates. In: NeuroImage. 2014, 101, pp. 494-512. ISSN 1053-8119. eISSN 1095-9572. Available under: doi: 10.1016/j.neuroimage.2014.04.054eng
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