Publikation:

Enhanced visualization of diffusion tensor data for neurosurgery

Vorschaubild

Dateien

Enhanced_Visualization_2005.pdf
Enhanced_Visualization_2005.pdfGröße: 610.54 KBDownloads: 400

Datum

2005

Autor:innen

Enders, Frank
Hastreiter, Peter
Stamminger, Marc
Nimsky, Christopher

Herausgeber:innen

Kontakt

ISSN der Zeitschrift

Electronic ISSN

ISBN

Bibliografische Daten

Verlag

Schriftenreihe

Auflagebezeichnung

URI (zitierfähiger Link)
http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-91997
DOI (zitierfähiger Link)
https://doi.org/10.1007/3-540-26431-0_56
ArXiv-ID

Internationale Patentnummer

Link zur Lizenz
Urheberrechtlich geschützt

Angaben zur Forschungsförderung

Projekt

Open Access-Veröffentlichung
Open Access Green

Sammlungen

Informatik und Informationswissenschaft: Publikationen
Core Facility der Universität Konstanz

Gesperrt bis

Titel in einer weiteren Sprache

Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published

Erschienen in

MEINZER, Hans-Peter, ed., Heinz HANDELS, ed., Alexander HORSCH, ed., Thomas TOLXDORFF, ed.. Bildverarbeitung für die Medizin 2005. Berlin/Heidelberg: Springer-Verlag, 2005, pp. 272-276. Informatik aktuell. ISBN 3-540-25052-2. Available under: doi: 10.1007/3-540-26431-0_56

Zusammenfassung

Diffusion tensor imaging is a recent magnetic resonance technique that provides comprehensive information about water diffusivity. Since diffusivity correlates with tissue structure at the microscopic level diffusion tensor imaging reveals fibrous structures such as white matter pathways in the field of neurosurgery. White matter tracts are thereby of major interest and the ability to distinguish between different white matter patterns is subject of growing research in neurosurgery. Different approaches for the examination of the data such as streamline tracking or direct volume rendering have been developed. In this work an integrated method for visualizing this kind of data is presented utilizing glyph- and streamline-based visualization in combination with magnetic resonance data showing anatomy to obtain a maximum of information.

Zusammenfassung in einer weiteren Sprache

Fachgebiet (DDC)
004 Informatik

Schlagwörter

Konferenz

Rezension
undefined / . - undefined, undefined

Forschungsvorhaben

Organisationseinheiten

Zeitschriftenheft

Zugehörige Datensätze in KOPS

Zitieren

ISO 690ENDERS, Frank, Dorit MERHOF, Peter HASTREITER, Marc STAMMINGER, Christopher NIMSKY, 2005. Enhanced visualization of diffusion tensor data for neurosurgery. In: MEINZER, Hans-Peter, ed., Heinz HANDELS, ed., Alexander HORSCH, ed., Thomas TOLXDORFF, ed.. Bildverarbeitung für die Medizin 2005. Berlin/Heidelberg: Springer-Verlag, 2005, pp. 272-276. Informatik aktuell. ISBN 3-540-25052-2. Available under: doi: 10.1007/3-540-26431-0_56
BibTex
@inproceedings{Enders2005Enhan-5873,
  year={2005},
  doi={10.1007/3-540-26431-0_56},
  title={Enhanced visualization of diffusion tensor data for neurosurgery},
  isbn={3-540-25052-2},
  publisher={Springer-Verlag},
  address={Berlin/Heidelberg},
  series={Informatik aktuell},
  booktitle={Bildverarbeitung für die Medizin 2005},
  pages={272--276},
  editor={Meinzer, Hans-Peter and Handels, Heinz and Horsch, Alexander and Tolxdorff, Thomas},
  author={Enders, Frank and Merhof, Dorit and Hastreiter, Peter and Stamminger, Marc and Nimsky, Christopher}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/5873">
    <dc:format>application/pdf</dc:format>
    <dcterms:abstract xml:lang="eng">Diffusion tensor imaging is a recent magnetic resonance technique that provides comprehensive information about water diffusivity. Since diffusivity correlates with tissue structure at the microscopic level diffusion tensor imaging reveals fibrous structures such as white matter pathways in the field of neurosurgery. White matter tracts are thereby of major interest and the ability to distinguish between different white matter patterns is subject of growing research in neurosurgery. Different approaches for the examination of the data such as streamline tracking or direct volume rendering have been developed. In this work an integrated method for visualizing this kind of data is presented utilizing glyph- and streamline-based visualization in combination with magnetic resonance data showing anatomy to obtain a maximum of information.</dcterms:abstract>
    <dcterms:bibliographicCitation>Zuerst ersch. in: Bildverarbeitung für die Medizin 2005. Algorithmen, Systeme, Anwendungen / Hans-Peter Meinzer, Heinz Handels, Alexander Horsch, Thomas Tolxdorff (eds.). Hamburg: Springer, 2005, S. 272-276</dcterms:bibliographicCitation>
    <dc:contributor>Hastreiter, Peter</dc:contributor>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Enders, Frank</dc:creator>
    <dcterms:title>Enhanced visualization of diffusion tensor data for neurosurgery</dcterms:title>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:creator>Nimsky, Christopher</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:contributor>Nimsky, Christopher</dc:contributor>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:issued>2005</dcterms:issued>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:00:53Z</dcterms:available>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5873/1/Enhanced_Visualization_2005.pdf"/>
    <dc:rights>terms-of-use</dc:rights>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:00:53Z</dc:date>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5873/1/Enhanced_Visualization_2005.pdf"/>
    <dc:creator>Hastreiter, Peter</dc:creator>
    <dc:contributor>Merhof, Dorit</dc:contributor>
    <dc:contributor>Enders, Frank</dc:contributor>
    <dc:language>eng</dc:language>
    <dc:contributor>Stamminger, Marc</dc:contributor>
    <dc:creator>Merhof, Dorit</dc:creator>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5873"/>
    <dc:creator>Stamminger, Marc</dc:creator>
  </rdf:Description>
</rdf:RDF>

Interner Vermerk

xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter

Kontakt
URL der Originalveröffentl.

Prüfdatum der URL

Prüfungsdatum der Dissertation

Finanzierungsart

Kommentar zur Publikation

Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Nein
Begutachtet
Diese Publikation teilen