Voxel-wise group analysis of dti

Zhexing Liu, Hongtu Zhu, Bonita L. Marks, Laurence M. Katz, Casey B. Goodlett, Guido Gerig, Martin Styner

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

    Abstract

    Diffusion tensor MRI (DTI) is now a widely used modality to investigate the fiber tissues in vivo, especially the white matter in brain. An automatic pipeline is described in this paper to conduct a localized voxel-wise multiple-subject group comparison study of DTI. The pipeline consists of 3 steps: 1) Preprocessing, including image format converting, image quality check, eddy-current and motion artifact correction, skull stripping and tensor image estimation, 2) study-specific unbiased DTI atlas computation via affine followed by fluid nonlinear registration and warping of all individual DTI images into the common atlas space to achieve voxel-wise correspondence, 3) voxel-wise statistical analysis via heterogeneous linear regression and wild bootstrap technique for correcting for multiple comparisons. This pipeline was applied to process data from a fitness and aging study and preliminary results are presented. The results show that this fully automatic pipeline is suitable for voxel-wise group DTI analysis.

    Original languageEnglish (US)
    Title of host publicationProceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
    Pages807-810
    Number of pages4
    DOIs
    StatePublished - 2009
    Event2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 - Boston, MA, United States
    Duration: Jun 28 2009Jul 1 2009

    Other

    Other2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
    CountryUnited States
    CityBoston, MA
    Period6/28/097/1/09

    Fingerprint

    Diffusion Magnetic Resonance Imaging
    Tensors
    Magnetic resonance imaging
    Pipelines
    Atlases
    Skull
    Artifacts
    Eddy currents
    Linear Models
    Linear regression
    Image quality
    Brain
    Statistical methods
    Aging of materials
    Tissue
    Fluids
    Fibers

    Keywords

    • Diffusion tensor
    • Group comparison.
    • MRI
    • Voxel-wise analysis

    ASJC Scopus subject areas

    • Biomedical Engineering
    • Radiology Nuclear Medicine and imaging

    Cite this

    Liu, Z., Zhu, H., Marks, B. L., Katz, L. M., Goodlett, C. B., Gerig, G., & Styner, M. (2009). Voxel-wise group analysis of dti. In Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 (pp. 807-810). [5193172] https://doi.org/10.1109/ISBI.2009.5193172

    Voxel-wise group analysis of dti. / Liu, Zhexing; Zhu, Hongtu; Marks, Bonita L.; Katz, Laurence M.; Goodlett, Casey B.; Gerig, Guido; Styner, Martin.

    Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. 2009. p. 807-810 5193172.

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

    Liu, Z, Zhu, H, Marks, BL, Katz, LM, Goodlett, CB, Gerig, G & Styner, M 2009, Voxel-wise group analysis of dti. in Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009., 5193172, pp. 807-810, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009, Boston, MA, United States, 6/28/09. https://doi.org/10.1109/ISBI.2009.5193172
    Liu Z, Zhu H, Marks BL, Katz LM, Goodlett CB, Gerig G et al. Voxel-wise group analysis of dti. In Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. 2009. p. 807-810. 5193172 https://doi.org/10.1109/ISBI.2009.5193172
    Liu, Zhexing ; Zhu, Hongtu ; Marks, Bonita L. ; Katz, Laurence M. ; Goodlett, Casey B. ; Gerig, Guido ; Styner, Martin. / Voxel-wise group analysis of dti. Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. 2009. pp. 807-810
    @inproceedings{d1ee3dc832c742fc9439610c58f62844,
    title = "Voxel-wise group analysis of dti",
    abstract = "Diffusion tensor MRI (DTI) is now a widely used modality to investigate the fiber tissues in vivo, especially the white matter in brain. An automatic pipeline is described in this paper to conduct a localized voxel-wise multiple-subject group comparison study of DTI. The pipeline consists of 3 steps: 1) Preprocessing, including image format converting, image quality check, eddy-current and motion artifact correction, skull stripping and tensor image estimation, 2) study-specific unbiased DTI atlas computation via affine followed by fluid nonlinear registration and warping of all individual DTI images into the common atlas space to achieve voxel-wise correspondence, 3) voxel-wise statistical analysis via heterogeneous linear regression and wild bootstrap technique for correcting for multiple comparisons. This pipeline was applied to process data from a fitness and aging study and preliminary results are presented. The results show that this fully automatic pipeline is suitable for voxel-wise group DTI analysis.",
    keywords = "Diffusion tensor, Group comparison., MRI, Voxel-wise analysis",
    author = "Zhexing Liu and Hongtu Zhu and Marks, {Bonita L.} and Katz, {Laurence M.} and Goodlett, {Casey B.} and Guido Gerig and Martin Styner",
    year = "2009",
    doi = "10.1109/ISBI.2009.5193172",
    language = "English (US)",
    isbn = "9781424439324",
    pages = "807--810",
    booktitle = "Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009",

    }

    TY - GEN

    T1 - Voxel-wise group analysis of dti

    AU - Liu, Zhexing

    AU - Zhu, Hongtu

    AU - Marks, Bonita L.

    AU - Katz, Laurence M.

    AU - Goodlett, Casey B.

    AU - Gerig, Guido

    AU - Styner, Martin

    PY - 2009

    Y1 - 2009

    N2 - Diffusion tensor MRI (DTI) is now a widely used modality to investigate the fiber tissues in vivo, especially the white matter in brain. An automatic pipeline is described in this paper to conduct a localized voxel-wise multiple-subject group comparison study of DTI. The pipeline consists of 3 steps: 1) Preprocessing, including image format converting, image quality check, eddy-current and motion artifact correction, skull stripping and tensor image estimation, 2) study-specific unbiased DTI atlas computation via affine followed by fluid nonlinear registration and warping of all individual DTI images into the common atlas space to achieve voxel-wise correspondence, 3) voxel-wise statistical analysis via heterogeneous linear regression and wild bootstrap technique for correcting for multiple comparisons. This pipeline was applied to process data from a fitness and aging study and preliminary results are presented. The results show that this fully automatic pipeline is suitable for voxel-wise group DTI analysis.

    AB - Diffusion tensor MRI (DTI) is now a widely used modality to investigate the fiber tissues in vivo, especially the white matter in brain. An automatic pipeline is described in this paper to conduct a localized voxel-wise multiple-subject group comparison study of DTI. The pipeline consists of 3 steps: 1) Preprocessing, including image format converting, image quality check, eddy-current and motion artifact correction, skull stripping and tensor image estimation, 2) study-specific unbiased DTI atlas computation via affine followed by fluid nonlinear registration and warping of all individual DTI images into the common atlas space to achieve voxel-wise correspondence, 3) voxel-wise statistical analysis via heterogeneous linear regression and wild bootstrap technique for correcting for multiple comparisons. This pipeline was applied to process data from a fitness and aging study and preliminary results are presented. The results show that this fully automatic pipeline is suitable for voxel-wise group DTI analysis.

    KW - Diffusion tensor

    KW - Group comparison.

    KW - MRI

    KW - Voxel-wise analysis

    UR - http://www.scopus.com/inward/record.url?scp=70449353675&partnerID=8YFLogxK

    UR - http://www.scopus.com/inward/citedby.url?scp=70449353675&partnerID=8YFLogxK

    U2 - 10.1109/ISBI.2009.5193172

    DO - 10.1109/ISBI.2009.5193172

    M3 - Conference contribution

    SN - 9781424439324

    SP - 807

    EP - 810

    BT - Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009

    ER -