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

doi:10.1109/EMBC.2019.8857041

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

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.

Originalsprog	Engelsk
Titel	41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Antal sider	6
Forlag	IEEE
Publikationsdato	2019
Sider	6118-6123
DOI	https://doi.org/10.1109/EMBC.2019.8857041
Status	Udgivet - 2019
Begivenhed	41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) - Berlin, Tyskland Varighed: 23 jul. 2019 → 27 jul. 2019

Konference

Konference	41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Land/Område	Tyskland
By	Berlin
Periode	23/07/2019 → 27/07/2019

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10.1109/EMBC.2019.8857041

Citationsformater

Farcito, S., Puonti, O., Montanaro, H., Saturnino, G. B., Nielsen, J. D., Madsen, C. G., Siebner, H. R., Neufeld, E., Kuster, N., Lloyd, B. A., & Thielscher, A. (2019). Accurate anatomical head segmentations: a data set for biomedical simulations. I 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (s. 6118-6123). IEEE. https://doi.org/10.1109/EMBC.2019.8857041

Accurate anatomical head segmentations: a data set for biomedical simulations. / Farcito, Silvia; Puonti, Oula; Montanaro, Hazael et al.
41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2019. s. 6118-6123.

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

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. i 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, s. 6118-6123, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Tyskland, 23/07/2019. https://doi.org/10.1109/EMBC.2019.8857041

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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.",

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",

year = "2019",

doi = "10.1109/EMBC.2019.8857041",

language = "English",

pages = "6118--6123",

booktitle = "41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)",

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AU - Farcito, Silvia

AU - Puonti, Oula

AU - Montanaro, Hazael

AU - Saturnino, Guilherme B.

AU - Nielsen, Jesper Duemose

AU - Madsen, Camilla G.

AU - Siebner, Hartwig R.

AU - Neufeld, Esra

AU - Kuster, Niels

AU - Lloyd, Bryn A.

AU - Thielscher, Axel

PY - 2019

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AB - 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.

U2 - 10.1109/EMBC.2019.8857041

DO - 10.1109/EMBC.2019.8857041

M3 - Article in proceedings

C2 - 31947240

SP - 6118

EP - 6123

BT - 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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T2 - 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

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ER -

Accurate anatomical head segmentations: a data set for biomedical simulations

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