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Lotfi Chaari

  1. Multidimensional Wavelet-based Regularized Reconstruction for Parallel Acquisition in Neuroimaging.

    Wed, 01/04/2012 - 15:01 — SomNambul
    Authors: Lotfi Chaari, Jean-Christophe Pesquet, Philippe Ciuciu, Sébastien Mériaux, Solveig Badillo
    Subjects: Applications
    Abstract

    Parallel MRI is a fast imaging technique that enables the acquisition of
    highly resolved images in space or/and in time. The performance of parallel
    imaging strongly depends on the reconstruction algorithm, which can proceed
    either in the original k-space (GRAPPA, SMASH) or in the image domain
    (SENSE-like methods). To improve the performance of the widely used SENSE
    algorithm, 2D- or slice-specific regularization in the wavelet domain has been
    deeply investigated.

  2. 4D Wavelet-Based Regularization for Parallel MRI Reconstruction: Impact on Subject and Group-Levels Statistical Sensitivity in fMRI.

    Mon, 03/21/2011 - 16:01 — SomNambul
    Authors: Lotfi Chaari, Jean-Christophe Pesquet, Philippe Ciuciu, Sébastien Mériaux, Solveig Badillo
    Subjects: Methodology
    Abstract

    Parallel MRI is a fast imaging technique that enables the acquisition of
    highly resolved images in space. It relies on $k$-space undersampling and
    multiple receiver coils with complementary sensitivity profiles in order to
    reconstruct a full Field-Of-View (FOV) image. The performance of parallel
    imaging mainly depends on the reconstruction algorithm, which can proceed
    either in the original $k$-space (GRAPPA, SMASH) or in the image domain
    (SENSE-like methods).

  3. An Iterative Method for Parallel MRI SENSE-based Reconstruction in the Wavelet Domain.

    Thu, 09/03/2009 - 17:38 — SomNambul
    Authors: Lotfi Chaari, Jean-Christophe Pesquet, Philippe Ciuciu, Amel Benazza-Benyahia
    Subjects: Optimization and Control
    Abstract

    To reduce scanning time and/or improve spatial/temporal resolution in some
    MRI applications, parallel MRI (pMRI) acquisition techniques with multiple
    coils acquisition have emerged since the early 1990s as powerful 3D imaging
    methods that allow faster acquisition of reduced Field of View (FOV) images. In
    these techniques, the full FOV image has to be reconstructed from the resulting
    acquired undersampled k-space data. To this end, several reconstruction
    techniques have been proposed such as the widely-used SENSE method.

  4. An Iterative Method for Parallel MRI SENSE-based Reconstruction in the Wavelet Domain.

    Thu, 09/03/2009 - 17:38 — SomNambul
    Authors: Lotfi Chaari, Jean-Christophe Pesquet, Philippe Ciuciu, Amel Benazza-Benyahia
    Subjects: Optimization and Control
    Abstract

    To reduce scanning time and/or improve spatial/temporal resolution in some
    MRI applications, parallel MRI (pMRI) acquisition techniques with multiple
    coils acquisition have emerged since the early 1990s as powerful 3D imaging
    methods that allow faster acquisition of reduced Field of View (FOV) images. In
    these techniques, the full FOV image has to be reconstructed from the resulting
    acquired undersampled k-space data. To this end, several reconstruction
    techniques have been proposed such as the widely-used SENSE method.

Math-arch

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