Evaluation of local filter approaches for diffusion tensor-based fiber tracking

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MERHOF, Dorit, Michael BUCHFELDER, Christopher NIMSKY, 2011. Evaluation of local filter approaches for diffusion tensor-based fiber tracking. In: HANDELS, Heinz, ed., Jan EHRHARDT, ed., Thomas M. DESERNO, ed., Hans-Peter MEINZER, ed., Thomas TOLXDORFF, ed.. Bildverarbeitung für die Medizin 2011. Berlin, Heidelberg:Springer Berlin Heidelberg, pp. 354-358. ISBN 978-3-642-19334-7

@inproceedings{Merhof2011-03-13Evalu-17641, title={Evaluation of local filter approaches for diffusion tensor-based fiber tracking}, year={2011}, doi={10.1007/978-3-642-19335-4_73}, isbn={978-3-642-19334-7}, address={Berlin, Heidelberg}, publisher={Springer Berlin Heidelberg}, series={Informatik aktuell}, booktitle={Bildverarbeitung für die Medizin 2011}, pages={354--358}, editor={Handels, Heinz and Ehrhardt, Jan and Deserno, Thomas M. and Meinzer, Hans-Peter and Tolxdorff, Thomas}, author={Merhof, Dorit and Buchfelder, Michael and Nimsky, Christopher} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/17641"> <dc:contributor>Merhof, Dorit</dc:contributor> <dcterms:title>Evaluation of local filter approaches for diffusion tensor-based fiber tracking</dcterms:title> <dc:creator>Merhof, Dorit</dc:creator> <dcterms:abstract xml:lang="eng">Diffusion tensor imaging (DTI) allows investigating white matter structures in vivo which is of great interest for various applications in neuroanatomy and neurosurgery. In order to reconstruct white matter tracts from DTI data, fiber tracking approaches are used which are commonly based on streamline propagation techniques. In order to provide more reliable tracking results, local regularization filters were presented previously, which can be applied during the fiber tracking process and move forward as the fibers are constructed. In this work, Gaussian and least-squares local filters are evaluated and compared against higher order integration schemes. The results provide a more differentiated view on the prospects and limitations of local regularization filters.</dcterms:abstract> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2012-02-01T15:28:26Z</dcterms:available> <dc:creator>Buchfelder, Michael</dc:creator> <dc:language>eng</dc:language> <dcterms:rights rdf:resource="http://nbn-resolving.org/urn:nbn:de:bsz:352-20140905103605204-4002607-1"/> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/17641"/> <dc:creator>Nimsky, Christopher</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2012-02-01T15:28:26Z</dc:date> <dc:contributor>Buchfelder, Michael</dc:contributor> <dc:contributor>Nimsky, Christopher</dc:contributor> <dcterms:issued>2011-03-13</dcterms:issued> <dc:rights>deposit-license</dc:rights> <dcterms:bibliographicCitation>First publ. in: Bildverarbeitung für die Medizin 2011 : Algorithmen - Systeme - Anwendungen ; Proceedings des Workshops vom 20. bis 22. März 2011 in Lübeck / [Tagung Bildverarbeitung für die Medizin (BVM 2011)] / Handels, Heinz; Ehrhardt, Jan; Deserno, Thomas M.; Meinzer, Hans-Peter; Tolxdorff, Thomas [Hrsg.]. - Berlin [u.a.] : Springer, 2011. - pp. 354-358. - (Informatik aktuell). - ISBN 978-3-642-19334-7</dcterms:bibliographicCitation> </rdf:Description> </rdf:RDF>

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