Abstract
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.
Original language | English |
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Title of host publication | Proceedings of 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society |
Number of pages | 6 |
Publisher | IEEE |
Publication date | 2019 |
Pages | 6118-6123 |
DOIs | |
Publication status | Published - 2019 |
Event | 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society - CityCube Berlin, Berlin, Germany Duration: 23 Jul 2019 → 27 Jul 2019 Conference number: 41 https://embc.embs.org/2019/ |
Conference
Conference | 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
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Number | 41 |
Location | CityCube Berlin |
Country/Territory | Germany |
City | Berlin |
Period | 23/07/2019 → 27/07/2019 |
Internet address |