Publikation: Evaluation of local filter approaches for diffusion tensor-based fiber tracking
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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.
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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, 2011, pp. 354-358. Informatik aktuell. ISBN 978-3-642-19334-7. Available under: doi: 10.1007/978-3-642-19335-4_73BibTex
@inproceedings{Merhof2011-03-13Evalu-17641, year={2011}, doi={10.1007/978-3-642-19335-4_73}, title={Evaluation of local filter approaches for diffusion tensor-based fiber tracking}, isbn={978-3-642-19334-7}, publisher={Springer Berlin Heidelberg}, address={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} }
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