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dc.contributor.author
Iacono, Maria I.
dc.contributor.author
Neufeld, Esra
dc.contributor.author
Akinnagbe, Esther
dc.contributor.author
Bower, Kelsey
dc.contributor.author
Wolf, Johanna
dc.contributor.author
Oikonomidis, Ioannis V.
dc.contributor.author
Sharma, Deepika
dc.contributor.author
Lloyd, Bryn
dc.contributor.author
Wilm, Bertram J.
dc.contributor.author
Wyss, Michael
dc.contributor.author
Pruessmann, Klaas P.
dc.contributor.author
Jakab, Andras
dc.contributor.author
Makris, Nikos
dc.contributor.author
Cohen, Ethan D.
dc.contributor.author
Kuster, Niels
dc.contributor.author
Kainz, Wolfgang
dc.contributor.author
Angelone, Leonardo M.
dc.date.accessioned
2018-11-15T13:00:00Z
dc.date.available
2017-06-11T17:31:40Z
dc.date.available
2018-11-15T13:00:00Z
dc.date.issued
2015-04-22
dc.identifier.issn
1932-6203
dc.identifier.other
10.1371/journal.pone.0124126
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/101065
dc.identifier.doi
10.3929/ethz-b-000101065
dc.description.abstract
Computational modeling and simulations are increasingly being used to complement experimental testing for analysis of safety and efficacy of medical devices. Multiple voxel- and surface-based whole- and partial-body models have been proposed in the literature, typically with spatial resolution in the range of 1–2 mm and with 10–50 different tissue types resolved. We have developed a multimodal imaging-based detailed anatomical model of the human head and neck, named “MIDA”. The model was obtained by integrating three different magnetic resonance imaging (MRI) modalities, the parameters of which were tailored to enhance the signals of specific tissues: i) structural T1- and T2-weighted MRIs; a specific heavily T2-weighted MRI slab with high nerve contrast optimized to enhance the structures of the ear and eye; ii) magnetic resonance angiography (MRA) data to image the vasculature, and iii) diffusion tensor imaging (DTI) to obtain information on anisotropy and fiber orientation. The unique multimodal high-resolution approach allowed resolving 153 structures, including several distinct muscles, bones and skull layers, arteries and veins, nerves, as well as salivary glands. The model offers also a detailed characterization of eyes, ears, and deep brain structures. A special automatic atlas-based segmentation procedure was adopted to include a detailed map of the nuclei of the thalamus and midbrain into the head model. The suitability of the model to simulations involving different numerical methods, discretization approaches, as well as DTI-based tensorial electrical conductivity, was examined in a case-study, in which the electric field was generated by transcranial alternating current stimulation. The voxel- and the surface-based versions of the models are freely available to the scientific community.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Public Library of Science
en_US
dc.rights.uri
http://creativecommons.org/publicdomain/zero/1.0/
dc.title
MIDA: A Multimodal Imaging-Based Detailed Anatomical Model of the Human Head and Neck
en_US
dc.type
Journal Article
dc.rights.license
CC0 1.0 Universal
ethz.journal.title
PLoS ONE
ethz.journal.volume
10
en_US
ethz.journal.issue
4
en_US
ethz.journal.abbreviated
PLoS ONE
ethz.pages.start
e0124126
en_US
ethz.size
35 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.nebis
006206116
ethz.publication.place
S.l.
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02631 - Institut für Biomedizinische Technik / Institute for Biomedical Engineering::03628 - Prüssmann, Klaas P. / Prüssmann, Klaas P.
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02631 - Institut für Biomedizinische Technik / Institute for Biomedical Engineering::03628 - Prüssmann, Klaas P. / Prüssmann, Klaas P.
ethz.date.deposited
2017-06-11T17:31:56Z
ethz.source
ECIT
ethz.identifier.importid
imp59365330b4b4622657
ethz.ecitpid
pub:158716
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-14T16:22:26Z
ethz.rosetta.lastUpdated
2018-11-15T13:00:19Z
ethz.rosetta.versionExported
true
ethz.COinS
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