Accurate anatomical head segmentations: a data set for biomedical simulations

Detailed computational anatomical models of the entire head are needed for accurate in silico modeling in a variety of transcranial stimulation applications. Models from different subjects help to understand and account for population variability. To this end, we have developed a new library of head...

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Published inConference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.) Vol. 2019; pp. 6118 - 6123
Main Authors Farcito, Silvia, Puonti, Oula, Montanaro, Hazael, Saturnino, Guilherme B., Nielsen, Jesper D., Madsen, Camilla G., Siebner, Hartwig R., Neufeld, Esra, Kuster, Niels, Lloyd, Bryn A., Thielscher, Axel
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 01.07.2019
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Summary:Detailed computational anatomical models of the entire head are needed for accurate in silico modeling in a variety of transcranial stimulation applications. Models from different subjects help to understand and account for population variability. To this end, we have developed a new library of head models of 20 individuals, segmented from co-aligned multi-modal medical image data. The acquired image modalities allow to accurately model tissues with different material properties, such as electrical conductivity or spatially varying acoustic properties. The usefulness of the models is illustrated for two example applications.
ISSN:1557-170X
1558-4615
DOI:10.1109/EMBC.2019.8857041