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...
Saved in:
Published in | Conference proceedings (IEEE Engineering in Medicine and Biology Society. Conf.) Vol. 2019; pp. 6118 - 6123 |
---|---|
Main Authors | , , , , , , , , , , |
Format | Conference Proceeding Journal Article |
Language | English |
Published |
United States
IEEE
01.07.2019
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
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 |