Conference paper ยท Journal article
Accurate anatomical head segmentations: a data set for biomedical simulations
Foundation for Research on Information Technologies in Society1
Department of Health Technology, Technical University of Denmark2
Magnetic Resonance, Department of Health Technology, Technical University of Denmark3
Department of Applied Mathematics and Computer Science, Technical University of Denmark4
Cognitive Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark5
Danish Research Center for Magnetic Resonance6
University of Copenhagen7
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.
Language: | English |
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Publisher: | IEEE |
Year: | 2019 |
Pages: | 6118-6123 |
Proceedings: | 41st Annual International Conference of the IEEE Engineering in Medicine and Biology SocietyAnnual International Conference of the IEEE Engineering in Medicine and Biology Society |
ISBN: | 1538613115 , 1538613123 , 9781538613115 and 9781538613122 |
ISSN: | 15584615 , 1094687x and 26940604 |
Types: | Conference paper and Journal article |
DOI: | 10.1109/EMBC.2019.8857041 |
ORCIDs: | Puonti, Oula , Saturnino, Guilherme B. , Nielsen, Jesper Duemose and Thielscher, Axel |
Atmospheric modeling Bones Brain modeling Computational modeling Computer Simulation Electric Conductivity Head Humans Image segmentation Magnetic heads Models, Anatomic anatomical head segmentations biological tissues biomedical simulations co-aligned multimodal medical image data head models image modalities image registration image segmentation medical image processing silico modeling transcranial stimulation