Non-linear integration of DTI-based fiber tracts into standard 3D MR data

Lade...
Vorschaubild
Dateien
Non_linear_Integration_2004.pdf
Non_linear_Integration_2004.pdfGröße: 422.24 KBDownloads: 132
Datum
2004
Autor:innen
Hastreiter, Peter
Soza, Grzegorz
Stamminger, Marc
Nimsky, Christopher
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
DOI (zitierfähiger Link)
ArXiv-ID
Internationale Patentnummer
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Open Access Green
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Publikationstyp
Beitrag zu einem Konferenzband
Publikationsstatus
Published
Erschienen in
GIROD, Bernd, ed., Marcus MAGNOR, ed., Hans-Peter SEIDEL, ed.. Vision, Modeling and Visualization 2004. Proceedings. Heidelberg: AKA, 2004, pp. 371-378
Zusammenfassung

Diffusion tensor imaging (DTI) provides information about the location of white matter tracts within the human brain. This information is essential for preoperative neurosurgical planning to achieve maximal tumor resection while avoiding postoperative neurological deficits. Due to the anatomical distortion of echo planar imaging, DT images - and as a result the fiber tracts computed from them - are distorted. In this paper, we present a novel approach to account for those distortions. All voxels containing fibers within the distorted DT dataset were marked. Subsequently, a non-linear registration with standard 3D MR data was performed. The marked voxels were re-extracted from the registered DT dataset and displayed within the 3D MR dataset. The strategy introduced in this paper is an essential prerequisite for the integration of fiber tract data into 3D MR datasets. The fused data is of high value for neuronavigation and thereby a benefit for neurosurgery.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
004 Informatik
Schlagwörter
Konferenz
Rezension
undefined / . - undefined, undefined
Zitieren
ISO 690MERHOF, Dorit, Peter HASTREITER, Grzegorz SOZA, Marc STAMMINGER, Christopher NIMSKY, 2004. Non-linear integration of DTI-based fiber tracts into standard 3D MR data. In: GIROD, Bernd, ed., Marcus MAGNOR, ed., Hans-Peter SEIDEL, ed.. Vision, Modeling and Visualization 2004. Proceedings. Heidelberg: AKA, 2004, pp. 371-378
BibTex
@inproceedings{Merhof2004Nonli-5896,
  year={2004},
  title={Non-linear integration of DTI-based fiber tracts into standard 3D MR data},
  publisher={AKA},
  address={Heidelberg},
  booktitle={Vision, Modeling and Visualization 2004. Proceedings},
  pages={371--378},
  editor={Girod, Bernd and Magnor, Marcus and Seidel, Hans-Peter},
  author={Merhof, Dorit and Hastreiter, Peter and Soza, Grzegorz 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/123456789/5896">
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:01:13Z</dc:date>
    <dc:creator>Merhof, Dorit</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:01:13Z</dcterms:available>
    <dc:contributor>Stamminger, Marc</dc:contributor>
    <dc:rights>terms-of-use</dc:rights>
    <dcterms:abstract xml:lang="eng">Diffusion tensor imaging (DTI) provides information about the location of white matter tracts within the human brain. This information is essential for preoperative neurosurgical planning to achieve maximal tumor resection while avoiding postoperative neurological deficits. Due to the anatomical distortion of echo planar imaging, DT images - and as a result the fiber tracts computed from them - are distorted. In this paper, we present a novel approach to account for those distortions. All voxels containing fibers within the distorted DT dataset were marked. Subsequently, a non-linear registration with standard 3D MR data was performed. The marked voxels were re-extracted from the registered DT dataset and displayed within the 3D MR dataset. The strategy introduced in this paper is an essential prerequisite for the integration of fiber tract data into 3D MR datasets. The fused data is of high value for neuronavigation and thereby a benefit for neurosurgery.</dcterms:abstract>
    <dc:contributor>Soza, Grzegorz</dc:contributor>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5896"/>
    <dc:creator>Soza, Grzegorz</dc:creator>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5896/1/Non_linear_Integration_2004.pdf"/>
    <dcterms:title>Non-linear integration of DTI-based fiber tracts into standard 3D MR data</dcterms:title>
    <dc:creator>Nimsky, Christopher</dc:creator>
    <dc:language>eng</dc:language>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:format>application/pdf</dc:format>
    <dc:contributor>Nimsky, Christopher</dc:contributor>
    <dc:creator>Hastreiter, Peter</dc:creator>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:bibliographicCitation>First publ. in: Vision, Modeling and Visualization 2004. Proceedings / Bernd Girod, Marcus Magnor and Hans-Peter Seidel (eds.). Heidelberg: AKA, 2004, pp. 371-378</dcterms:bibliographicCitation>
    <dc:contributor>Hastreiter, Peter</dc:contributor>
    <dc:creator>Stamminger, Marc</dc:creator>
    <dc:contributor>Merhof, Dorit</dc:contributor>
    <dcterms:issued>2004</dcterms:issued>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5896/1/Non_linear_Integration_2004.pdf"/>
  </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