Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis

Isabelle Corouge, P. Thomas Fletcher, Sarang Joshi, John H. Gilmore, Guido Gerig

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

    Abstract

    Diffusion tensor imaging (DTI) has become the major modality to study properties of white matter and the geometry of fiber tracts of the human brain. Clinical studies mostly focus on regional statistics of fractional anisotropy (FA) and mean diffusivity (MD) derived from tensors. Existing analysis techniques do not sufficiently take into account that the measurements are tensors, and thus require proper interpolation and statistics based on tensors, and that regions of interest are fiber tracts with complex spatial geometry. We propose a new framework for quantitative tract-oriented DTI analysis that includes tensor interpolation and averaging, using nonlinear Riemannian symmetric space. As a result, tracts of interest are represented by the geometry of the medial spine attributed with tensor statistics calculated within cross-sections. Examples from a clinical neuroimaging study of the early developing brain illustrate the potential of this new method to assess white matter fiber maturation and integrity.

    Original languageEnglish (US)
    Title of host publicationMedical Image Computing and Computer-Assisted Intervention - MICCAI 2005 - 8th International Conference, Proceedings
    Pages131-139
    Number of pages9
    Volume3749 LNCS
    DOIs
    StatePublished - 2005
    Event8th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005 - Palm Springs, CA, United States
    Duration: Oct 26 2005Oct 29 2005

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume3749 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349

    Other

    Other8th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005
    CountryUnited States
    CityPalm Springs, CA
    Period10/26/0510/29/05

    Fingerprint

    Diffusion Magnetic Resonance Imaging
    Magnetic resonance imaging
    Tensors
    Diffusion Tensor Imaging
    Tensor
    Statistics
    Fiber
    Fibers
    Diffusion tensor imaging
    Anisotropy
    Brain
    Geometry
    Interpolation
    Neuroimaging
    Spine
    Interpolate
    Imaging
    Riemannian Symmetric Space
    Diffusivity
    Region of Interest

    Keywords

    • Diffusion tensor interpolation
    • Diffusion tensor statistics
    • DTI analysis
    • Fiber tract modeling

    ASJC Scopus subject areas

    • Computer Science(all)
    • Biochemistry, Genetics and Molecular Biology(all)
    • Theoretical Computer Science

    Cite this

    Corouge, I., Fletcher, P. T., Joshi, S., Gilmore, J. H., & Gerig, G. (2005). Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005 - 8th International Conference, Proceedings (Vol. 3749 LNCS, pp. 131-139). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3749 LNCS). https://doi.org/10.1007/11566465_17

    Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis. / Corouge, Isabelle; Fletcher, P. Thomas; Joshi, Sarang; Gilmore, John H.; Gerig, Guido.

    Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005 - 8th International Conference, Proceedings. Vol. 3749 LNCS 2005. p. 131-139 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3749 LNCS).

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

    Corouge, I, Fletcher, PT, Joshi, S, Gilmore, JH & Gerig, G 2005, Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis. in Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005 - 8th International Conference, Proceedings. vol. 3749 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3749 LNCS, pp. 131-139, 8th International Conference on Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, Palm Springs, CA, United States, 10/26/05. https://doi.org/10.1007/11566465_17
    Corouge I, Fletcher PT, Joshi S, Gilmore JH, Gerig G. Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis. In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005 - 8th International Conference, Proceedings. Vol. 3749 LNCS. 2005. p. 131-139. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/11566465_17
    Corouge, Isabelle ; Fletcher, P. Thomas ; Joshi, Sarang ; Gilmore, John H. ; Gerig, Guido. / Fiber tract-oriented statistics for quantitative diffusion tensor MRI analysis. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005 - 8th International Conference, Proceedings. Vol. 3749 LNCS 2005. pp. 131-139 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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