Accurate anatomical head segmentations: a data set for biomedical simulations

Silvia Farcito, Oula Puonti, Hazael Montanaro, Guilherme B. Saturnino, Jesper Duemose Nielsen, Camilla G. Madsen, Hartwig R. Siebner, Esra Neufeld, Niels Kuster, Bryn A. Lloyd, Axel Thielscher

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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 languageEnglish
Title of host publicationProceedings of 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society
Number of pages6
Publication date2019
Pages6118-6123
DOIs
Publication statusPublished - 2019
Event2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society - CityCube Berlin, Berlin, Germany
Duration: 23 Jul 201927 Jul 2019
https://embc.embs.org/2019/

Conference

Conference2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
LocationCityCube Berlin
CountryGermany
CityBerlin
Period23/07/201927/07/2019
Internet address

Cite this

Farcito, S., Puonti, O., Montanaro, H., Saturnino, G. B., Nielsen, J. D., Madsen, C. G., ... Thielscher, A. (2019). Accurate anatomical head segmentations: a data set for biomedical simulations. In Proceedings of 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society (pp. 6118-6123) https://doi.org/10.1109/EMBC.2019.8857041
Farcito, Silvia ; Puonti, Oula ; Montanaro, Hazael ; Saturnino, Guilherme B. ; Nielsen, Jesper Duemose ; Madsen, Camilla G. ; Siebner, Hartwig R. ; Neufeld, Esra ; Kuster, Niels ; Lloyd, Bryn A. ; Thielscher, Axel. / Accurate anatomical head segmentations: a data set for biomedical simulations. Proceedings of 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society. 2019. pp. 6118-6123
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author = "Silvia Farcito and Oula Puonti and Hazael Montanaro and Saturnino, {Guilherme B.} and Nielsen, {Jesper Duemose} and Madsen, {Camilla G.} and Siebner, {Hartwig R.} and Esra Neufeld and Niels Kuster and Lloyd, {Bryn A.} and Axel Thielscher",
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Farcito, S, Puonti, O, Montanaro, H, Saturnino, GB, Nielsen, JD, Madsen, CG, Siebner, HR, Neufeld, E, Kuster, N, Lloyd, BA & Thielscher, A 2019, Accurate anatomical head segmentations: a data set for biomedical simulations. in Proceedings of 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society. pp. 6118-6123, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Berlin, Germany, 23/07/2019. https://doi.org/10.1109/EMBC.2019.8857041

Accurate anatomical head segmentations: a data set for biomedical simulations. / Farcito, Silvia; Puonti, Oula; Montanaro, Hazael; Saturnino, Guilherme B.; Nielsen, Jesper Duemose; Madsen, Camilla G.; Siebner, Hartwig R.; Neufeld, Esra; Kuster, Niels; Lloyd, Bryn A.; Thielscher, Axel.

Proceedings of 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society. 2019. p. 6118-6123.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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AU - Madsen, Camilla G.

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Farcito S, Puonti O, Montanaro H, Saturnino GB, Nielsen JD, Madsen CG et al. Accurate anatomical head segmentations: a data set for biomedical simulations. In Proceedings of 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society. 2019. p. 6118-6123 https://doi.org/10.1109/EMBC.2019.8857041