Publikation: Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates
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2014
Autor:innen
Pipitone, Jon
Park, Min Tae M.
Winterburn, Julie
Lett, Tristram A.
Lerch, Jason P.
Lepage, Martin
Voineskos, Aristotle N.
Chakravarty, M. Mallar
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NeuroImage. 2014, 101, pp. 494-512. ISSN 1053-8119. eISSN 1095-9572. Available under: doi: 10.1016/j.neuroimage.2014.04.054
Zusammenfassung
Advances 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.
Zusammenfassung in einer weiteren Sprache
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150 Psychologie
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PIPITONE, 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.2014.04.054BibTex
@article{Pipitone2014-11Multi-38444,
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}
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