DTI-based visualization strategies for the pyramidal tract

Loading...
Thumbnail Image
Date
2006
Authors
Enders, Frank
Hastreiter, Peter
Stamminger, Marc
Fahlbusch, Rudolf
Nimsky, Christopher
Editors
Contact
Journal ISSN
Electronic ISSN
ISBN
Bibliographical data
Publisher
Series
DOI (citable link)
ArXiv-ID
International patent number
Link to the license
EU project number
Project
Open Access publication
Restricted until
Title in another language
Research Projects
Organizational Units
Journal Issue
Publication type
Journal article
Publication status
Published in
GMS current topics in computer and robot assisted surgery ; 1 (2006). - Doc07
Abstract
With the introduction of diffusion tensor imaging a method became available which is capable to detect major white matter tracts in-vivo. For the visualization of the data several techniques have been developed which, however, show various drawbacks for a comprehensive medical and technical analysis. Although fractional anisotropy maps and streamlines, typically denoted as fiber tracking, are widely used they are suboptimal in several situations of pre- and intraoperative application. Going beyond these standard approaches, several new and more advanced visualization techniques, namely directional volume growing, hulls and hardware-accelerated glyphs are introduced for an improved exploration of the pyramidal tract. The approaches have been evaluated with respect to diagnosis and therapy planning in neurosurgery. Overall, it is shown that the presented strategies for the visualization of diffusion tensor imaging data are capable to significantly support neurosurgical planning and intervention.
Summary in another language
Subject (DDC)
004 Computer Science
Keywords
diffusion tensor imaging,glyphs,fiber tracking,visualization,pyramidal tract
Conference
Review
undefined / . - undefined, undefined. - (undefined; undefined)
Cite This
ISO 690ENDERS, Frank, Dorit MERHOF, Peter HASTREITER, Marc STAMMINGER, Rudolf FAHLBUSCH, Christopher NIMSKY, 2006. DTI-based visualization strategies for the pyramidal tract. In: GMS current topics in computer and robot assisted surgery. 1, Doc07
BibTex
@article{Enders2006DTIba-5841,
  year={2006},
  title={DTI-based visualization strategies for the pyramidal tract},
  volume={1},
  journal={GMS current topics in computer and robot assisted surgery},
  author={Enders, Frank and Merhof, Dorit and Hastreiter, Peter and Stamminger, Marc and Fahlbusch, Rudolf and Nimsky, Christopher},
  note={Article Number: Doc07}
}
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/123456789/5841">
    <dc:creator>Merhof, Dorit</dc:creator>
    <dcterms:issued>2006</dcterms:issued>
    <dcterms:bibliographicCitation>First publ. in: GMS current topics in computer and robot assisted surgery 1 (2006), Doc07</dcterms:bibliographicCitation>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5841/1/DTI_based_visualization_2006.pdf"/>
    <dc:contributor>Nimsky, Christopher</dc:contributor>
    <dc:contributor>Hastreiter, Peter</dc:contributor>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:00:33Z</dcterms:available>
    <dc:creator>Fahlbusch, Rudolf</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5841"/>
    <dcterms:title>DTI-based visualization strategies for the pyramidal tract</dcterms:title>
    <dc:rights>terms-of-use</dc:rights>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Enders, Frank</dc:contributor>
    <dc:creator>Nimsky, Christopher</dc:creator>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:creator>Enders, Frank</dc:creator>
    <dc:contributor>Merhof, Dorit</dc:contributor>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:00:33Z</dc:date>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5841/1/DTI_based_visualization_2006.pdf"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:creator>Stamminger, Marc</dc:creator>
    <dc:format>application/pdf</dc:format>
    <dc:contributor>Fahlbusch, Rudolf</dc:contributor>
    <dcterms:abstract xml:lang="eng">With the introduction of diffusion tensor imaging a method became available which is capable to detect major white matter tracts in-vivo. For the visualization of the data several techniques have been developed which, however, show various drawbacks for a comprehensive medical and technical analysis. Although fractional anisotropy maps and streamlines, typically denoted as fiber tracking, are widely used they are suboptimal in several situations of pre- and intraoperative application. Going beyond these standard approaches, several new and more advanced visualization techniques, namely directional volume growing, hulls and hardware-accelerated glyphs are introduced for an improved exploration of the pyramidal tract. The approaches have been evaluated with respect to diagnosis and therapy planning in neurosurgery. Overall, it is shown that the presented strategies for the visualization of diffusion tensor imaging data are capable to significantly support neurosurgical planning and intervention.</dcterms:abstract>
    <dc:language>eng</dc:language>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>Hastreiter, Peter</dc:creator>
    <dc:contributor>Stamminger, Marc</dc:contributor>
  </rdf:Description>
</rdf:RDF>
Internal note
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Contact
URL of original publication
Test date of URL
Examination date of dissertation
Method of financing
Comment on publication
Alliance license
Corresponding Authors der Uni Konstanz vorhanden
International Co-Authors
Bibliography of Konstanz
No
Refereed