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  1. Chapter and Conference Paper

    MR Diffusion-Based Inference of a Fiber Bundle Model from a Population of Subjects

    This paper proposes a method to infer a high level model of the white matter organization from a population of subjects using MR diffusion imaging. This method takes as input for each subject a set of trajecto...

    V. El Kouby, Y. Cointepas, C. Poupon in Medical Image Computing and Computer-Assis… (2005)

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    Chapter and Conference Paper

    Fiber Tracking in q-Ball Fields Using Regularized Particle Trajectories

    Most of the approaches dedicated to fiber tracking from diffusion-weighted MR data rely on a tensor model. However, the tensor model can only resolve a single fiber orientation within each imaging voxel. New e...

    M. Perrin, C. Poupon, Y. Cointepas, B. Rieul in Information Processing in Medical Imaging (2005)

  3. Chapter and Conference Paper

    A Spin Glass Based Framework to Untangle Fiber Crossing in MR Diffusion Based Tracking

    We propose a general approach to the reconstruction of brain white matter geometry from diffusion-weighted data. This approach is based on an inverse problem framework. The optimal geometry corresponds to the ...

    Y. Cointepas, C. Poupon, D. Le Bihan in Medical Image Computing and Computer-Assis… (2002)

  4. Chapter and Conference Paper

    Regularization of MR diffusion tensor maps for tracking brain white matter bundles

    We propose a new way for tracking brain white matter fiber bundles in diffusion tensor maps. Diffusion maps provide information about mobility of water protons in different directions. Assuming that diffusion ...

    C. Poupon, J. -F. Mangin, V. Frouin in Medical Image Computing and Computer-Assis… (1998)