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

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-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 language	English
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	https://doi.org/10.1109/EMBC.2019.8857041
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
Number	41
Location	CityCube Berlin
Country/Territory	Germany
City	Berlin
Period	23/07/2019 → 27/07/2019
Internet address	https://embc.embs.org/2019/

Access to Document

10.1109/EMBC.2019.8857041

OpenUrl availability

Full text

Cite this

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. In Proceedings of 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society (pp. 6118-6123). IEEE. https://doi.org/10.1109/EMBC.2019.8857041

@inproceedings{70e72f89df644fe9a97e84b05eef04cf,

title = "Accurate anatomical head segmentations: a data set for biomedical simulations",

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 = "Proceedings of 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society",

publisher = "IEEE",

address = "United States",

note = "41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019 ; Conference date: 23-07-2019 Through 27-07-2019",

url = "https://embc.embs.org/2019/",

}

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. IEEE, pp. 6118-6123, 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Berlin, 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 et al.
Proceedings of 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society. IEEE, 2019. p. 6118-6123.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Accurate anatomical head segmentations: a data set for biomedical simulations

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

N1 - Conference code: 41

PY - 2019

Y1 - 2019

N2 - 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.

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 - Proceedings of 39th Annual International Conference of the Ieee Engineering in Medicine and Biology Society

PB - IEEE

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

Y2 - 23 July 2019 through 27 July 2019

ER -

Accurate anatomical head segmentations: a data set for biomedical simulations

Abstract

Conference

Access to Document

OpenUrl availability

Fingerprint

Cite this