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dc.contributor.authorStaempfli, Philipp-
dc.contributor.authorJärmann, Thomas-
dc.contributor.authorCrelier, G.R.-
dc.contributor.authorKollias, S.-
dc.contributor.authorValavanis, A.-
dc.contributor.authorBoesiger, Peter-
dc.date.accessioned2018-04-10T15:12:53Z-
dc.date.available2018-04-10T15:12:53Z-
dc.date.issued2006-03-
dc.identifier.issn1053-8119de_CH
dc.identifier.issn1095-9572de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/5024-
dc.description.abstractMagnetic resonance diffusion tensor tractography is a powerful tool for the non-invasive depiction of the white matter architecture in the human brain. However, due to limitations in the underlying tensor model, the technique is often unable to reconstruct correct trajectories in heterogeneous fiber arrangements, such as axonal crossings. A novel tractography method based on fast marching (FM) is proposed which is capable of resolving fiber crossings and also permits trajectories to branch. It detects heterogeneous fiber arrangements by incorporating information from the entire diffusion tensor. The FM speed function is adapted to the local tensor characteristics, allowing in particular to maintain the front evolution direction in crossing situations. In addition, the FM's discretization error is reduced by increasing the number of considered possible front evolution directions. The performance of the technique is demonstrated in artificial data and in the healthy human brain. Comparisons with standard FM tractography and conventional line propagation algorithms show that, in the presence of interfering structures, the proposed method is more accurate in reconstructing trajectories. The in vivo results illustrate that the elucidated major white matter pathways are consistent with known anatomy and that multiple crossings and tract branching are handled correctly.de_CH
dc.language.isoende_CH
dc.publisherElsevierde_CH
dc.relation.ispartofNeuroImagede_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectAlgorithmsde_CH
dc.subjectAxonsde_CH
dc.subjectBrainde_CH
dc.subjectBrain mappingde_CH
dc.subjectComputer simulationde_CH
dc.subjectDiffusion Magnetic Resonance Imagingde_CH
dc.subjectHumansde_CH
dc.subjectImage enhancementde_CH
dc.subjectComputer-assisted image processingde_CH
dc.subjectThree-Dimensional imagingde_CH
dc.subjectMathematical computingde_CH
dc.subjectNeurological modelsde_CH
dc.subjectNerve fibersde_CH
dc.subjectNeural pathwaysde_CH
dc.subject.ddc616.8: Neurologie und Krankheiten des Nervensystemsde_CH
dc.titleResolving fiber crossing using advanced fast marching tractography based on diffusion tensor imagingde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
dc.identifier.doi10.1016/j.neuroimage.2005.09.027de_CH
dc.identifier.pmid16249099de_CH
zhaw.funding.euNode_CH
zhaw.issue1de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end120de_CH
zhaw.pages.start110de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume30de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
Appears in collections:Publikationen School of Engineering

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Staempfli, P., Järmann, T., Crelier, G. R., Kollias, S., Valavanis, A., & Boesiger, P. (2006). Resolving fiber crossing using advanced fast marching tractography based on diffusion tensor imaging. NeuroImage, 30(1), 110–120. https://doi.org/10.1016/j.neuroimage.2005.09.027
Staempfli, P. et al. (2006) ‘Resolving fiber crossing using advanced fast marching tractography based on diffusion tensor imaging’, NeuroImage, 30(1), pp. 110–120. Available at: https://doi.org/10.1016/j.neuroimage.2005.09.027.
P. Staempfli, T. Järmann, G. R. Crelier, S. Kollias, A. Valavanis, and P. Boesiger, “Resolving fiber crossing using advanced fast marching tractography based on diffusion tensor imaging,” NeuroImage, vol. 30, no. 1, pp. 110–120, Mar. 2006, doi: 10.1016/j.neuroimage.2005.09.027.
STAEMPFLI, Philipp, Thomas JÄRMANN, G.R. CRELIER, S. KOLLIAS, A. VALAVANIS und Peter BOESIGER, 2006. Resolving fiber crossing using advanced fast marching tractography based on diffusion tensor imaging. NeuroImage. März 2006. Bd. 30, Nr. 1, S. 110–120. DOI 10.1016/j.neuroimage.2005.09.027
Staempfli, Philipp, Thomas Järmann, G.R. Crelier, S. Kollias, A. Valavanis, and Peter Boesiger. 2006. “Resolving Fiber Crossing Using Advanced Fast Marching Tractography Based on Diffusion Tensor Imaging.” NeuroImage 30 (1): 110–20. https://doi.org/10.1016/j.neuroimage.2005.09.027.
Staempfli, Philipp, et al. “Resolving Fiber Crossing Using Advanced Fast Marching Tractography Based on Diffusion Tensor Imaging.” NeuroImage, vol. 30, no. 1, Mar. 2006, pp. 110–20, https://doi.org/10.1016/j.neuroimage.2005.09.027.


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