Quantitative analysis of white matter fiber properties along geodesic paths

Pierre Fillard, John Gilmore, Joseph Piven, Weili Lin, Guido Gerig

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Diffusion Tensor Imaging (DTI) is becoming a routine magnetic resonance technique to study white matter properties and alterations of fiber integrity due to pathology. The advanced MRI technique needs postprocessing by adequate image processing and visualization tools. Analysis of DTI in clinical studies so far use manual definition of regions or interest or image matching followed by voxel-based analysis. This paper presents a novel concept that extracts major fiber bundles by tractography and provides a statistical analysis of diffusion properties along fibers, i.e. geodesic paths within the three-dimensional brain image. Fiber tracing thus serves as a sophisticated, efficient method for defining complex regions of interests along major fiber tracts not accessible otherwise. Fiber bundles extracted from a set of subjects are parametrized by arc-length and mapped to a common coordinate system centered at well-defined anatomical landmarks. The description of the methodology is guided by the example of measuring diffusion properties along the left and right cingulate. We also present preliminary results from an ongoing clinical neonatal study that studies early brain development.

    Original languageEnglish (US)
    Title of host publicationLecture Notes in Computer Science
    EditorsR.E. Ellis, T.M. Peters
    Pages16-23
    Number of pages8
    Volume2879
    EditionPART 2
    StatePublished - 2003
    EventMedical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings - Montreal, Que., Canada
    Duration: Nov 15 2003Nov 18 2003

    Other

    OtherMedical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings
    CountryCanada
    CityMontreal, Que.
    Period11/15/0311/18/03

    Fingerprint

    Fibers
    Chemical analysis
    Diffusion tensor imaging
    Brain
    Image matching
    Pathology
    Magnetic resonance
    Magnetic resonance imaging
    Statistical methods
    Image processing
    Visualization

    ASJC Scopus subject areas

    • Computer Science (miscellaneous)
    • Engineering(all)

    Cite this

    Fillard, P., Gilmore, J., Piven, J., Lin, W., & Gerig, G. (2003). Quantitative analysis of white matter fiber properties along geodesic paths. In R. E. Ellis, & T. M. Peters (Eds.), Lecture Notes in Computer Science (PART 2 ed., Vol. 2879, pp. 16-23)

    Quantitative analysis of white matter fiber properties along geodesic paths. / Fillard, Pierre; Gilmore, John; Piven, Joseph; Lin, Weili; Gerig, Guido.

    Lecture Notes in Computer Science. ed. / R.E. Ellis; T.M. Peters. Vol. 2879 PART 2. ed. 2003. p. 16-23.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Fillard, P, Gilmore, J, Piven, J, Lin, W & Gerig, G 2003, Quantitative analysis of white matter fiber properties along geodesic paths. in RE Ellis & TM Peters (eds), Lecture Notes in Computer Science. PART 2 edn, vol. 2879, pp. 16-23, Medical Image Computing and Computer-Assisted Intervention, MICCAI 2003 - 6th International Conference Proceedings, Montreal, Que., Canada, 11/15/03.
    Fillard P, Gilmore J, Piven J, Lin W, Gerig G. Quantitative analysis of white matter fiber properties along geodesic paths. In Ellis RE, Peters TM, editors, Lecture Notes in Computer Science. PART 2 ed. Vol. 2879. 2003. p. 16-23
    Fillard, Pierre ; Gilmore, John ; Piven, Joseph ; Lin, Weili ; Gerig, Guido. / Quantitative analysis of white matter fiber properties along geodesic paths. Lecture Notes in Computer Science. editor / R.E. Ellis ; T.M. Peters. Vol. 2879 PART 2. ed. 2003. pp. 16-23
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