Directional volume growing for the extraction of white matter tracts from diffusion tensor data

Loading...
Thumbnail Image
Date
2005
Authors
Hastreiter, Peter
Nimsky, Christopher
Fahlbusch, Rudolf
Greiner, Günther
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
Contribution to a conference collection
Publication status
Published in
Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display / Cleary, Kevin R.; Galloway, Robert L. (ed.). - SPIE, 2005. - (SPIE Proceedings ; 5744). - pp. 165-172
Abstract
Diffusion tensor imaging measures diffusion of water in tissue. Within structured tissue, such as neural fiber tracts of the human brain, anisotropic diffusion is observed since the cell membranes of the long cylindric nerves restrict diffusion. Diffusion tensor imaging thus provides information about neural fiber tracts within the human brain which is of major interest for neurosurgery. However, the visualization is a challenging task due to noise and limited resolution of the data. A common visualization strategy of white matter is fiber tracking which utilizes techniques known from flow visualization. The resulting streamlines provide a good impression of the spatial relation of fibers and anatomy. Therefore, they are a valuable supplement for neurosurgical planning. As a drawback, fibers may diverge from the exact path due to numerical inaccuracies during streamline propagation even if higher order integration is used. To overcome this problem, a novel strategy for directional volume growing is presented which enables the extraction of separate tract systems and thus allows to compare and estimate the quality of fiber tracking algorithms. Furthermore, the presented approach is suited to get a more precise representation of the volume encompassing white matter tracts. Thereby, the entire volume potentially containing fibers is provided in contrast to fiber tracking which only shows a more restricted representation of the actual volume of interest. This is of major importance in brain tumor cases where white matter tracts are in the close vicinity of brain tumors. Overall, the presented strategy contributes to make surgical planning safer and more reliable.
Summary in another language
Subject (DDC)
004 Computer Science
Keywords
Diffusion tensor imaging,Volume growing,Fiber tracts
Conference
Medical Imaging, San Diego, CA
Review
undefined / . - undefined, undefined. - (undefined; undefined)
Cite This
ISO 690MERHOF, Dorit, Peter HASTREITER, Christopher NIMSKY, Rudolf FAHLBUSCH, Günther GREINER, 2005. Directional volume growing for the extraction of white matter tracts from diffusion tensor data. Medical Imaging. San Diego, CA. In: CLEARY, Kevin R., ed., Robert L. GALLOWAY, ed.. Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display. SPIE, pp. 165-172. Available under: doi: 10.1117/12.594621
BibTex
@inproceedings{Merhof2005-04-12Direc-5778,
  year={2005},
  doi={10.1117/12.594621},
  title={Directional volume growing for the extraction of white matter tracts from diffusion tensor data},
  number={5744},
  publisher={SPIE},
  series={SPIE Proceedings},
  booktitle={Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display},
  pages={165--172},
  editor={Cleary, Kevin R. and Galloway, Robert L.},
  author={Merhof, Dorit and Hastreiter, Peter and Nimsky, Christopher and Fahlbusch, Rudolf and Greiner, Günther}
}
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/123456789/5778">
    <dc:creator>Fahlbusch, Rudolf</dc:creator>
    <dc:contributor>Nimsky, Christopher</dc:contributor>
    <dc:creator>Nimsky, Christopher</dc:creator>
    <dcterms:issued>2005-04-12</dcterms:issued>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:00:03Z</dc:date>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5778/1/Directional_Volume_2005.pdf"/>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:format>application/pdf</dc:format>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:language>eng</dc:language>
    <dc:contributor>Hastreiter, Peter</dc:contributor>
    <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/5778"/>
    <dc:rights>terms-of-use</dc:rights>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/5778/1/Directional_Volume_2005.pdf"/>
    <dc:creator>Hastreiter, Peter</dc:creator>
    <dcterms:abstract xml:lang="eng">Diffusion tensor imaging measures diffusion of water in tissue. Within structured tissue, such as neural fiber tracts of the human brain, anisotropic diffusion is observed since the cell membranes of the long cylindric nerves restrict diffusion. Diffusion tensor imaging thus provides information about neural fiber tracts within the human brain which is of major interest for neurosurgery. However, the visualization is a challenging task due to noise and limited resolution of the data. A common visualization strategy of white matter is fiber tracking which utilizes techniques known from flow visualization. The resulting streamlines provide a good impression of the spatial relation of fibers and anatomy. Therefore, they are a valuable supplement for neurosurgical planning. As a drawback, fibers may diverge from the exact path due to numerical inaccuracies during streamline propagation even if higher order integration is used. To overcome this problem, a novel strategy for directional volume growing is presented which enables the extraction of separate tract systems and thus allows to compare and estimate the quality of fiber tracking algorithms. Furthermore, the presented approach is suited to get a more precise representation of the volume encompassing white matter tracts. Thereby, the entire volume potentially containing fibers is provided in contrast to fiber tracking which only shows a more restricted representation of the actual volume of interest. This is of major importance in brain tumor cases where white matter tracts are in the close vicinity of brain tumors. Overall, the presented strategy contributes to make surgical planning safer and more reliable.</dcterms:abstract>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:creator>Merhof, Dorit</dc:creator>
    <dc:contributor>Merhof, Dorit</dc:contributor>
    <dc:contributor>Greiner, Günther</dc:contributor>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-03-24T16:00:03Z</dcterms:available>
    <dcterms:title>Directional volume growing for the extraction of white matter tracts from diffusion tensor data</dcterms:title>
    <dcterms:bibliographicCitation>First publ. in: Visualization, Image-Guided Procedures, and Display / Robert L. Galloway, Jr. and Kevin R. Cleary (eds.). Bellingham: Spie, 2005, pp. 165-172</dcterms:bibliographicCitation>
    <dc:creator>Greiner, Günther</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/36"/>
    <dc:contributor>Fahlbusch, Rudolf</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