New York University

Musc Foundation for Research Development

Ali Tabesh

Jens Jensen

Joseph Helpern

Els Fieremans

Exemplary method, system, and computer-accessible medium can be provided for determining a measure of diffusional kurtosis by receiving data relating to at least one diffusion weighted image, and determining a measure of a diffusional kurtosis as a function of the received data using a closed form solution procedure. In accordance with certain exemplary embodiments of the present disclosure, provided herein are computer-accessible medium, systems and methods for, e.g., imaging in an MRI system, and, more particularly for facilitating estimation of tensors and tensor-derived measures in diffusional kurtosis imaging (DKI). For example, DKI can facilitate a characterization of non-Gaussian diffusion of water molecules in biological tissues. The diffusion and kurtosis tensors parameterizing the DKI model can typically be estimated via unconstrained least squares (LS) methods. In the presence of noise, motion, and imaging artifacts, these methods can be prone to producing physically and/or biologically implausible tensor estimates. The exemplary embodiments of the present disclosure can address at least this deficiency by formulating an exemplary estimation problem, e.g., as linearly constrained linear LS, where the constraints can ensure acceptable tensor estimates.

System, method and computer accessible medium for providing real-time diffusional kurtosis imaging and for facilitating estimation of tensors and tensor-derived measures in diffusional kurtosis imaging

One aspect of the present disclosure relates to a system that can determine a kurtosis diffusion orientation distribution function (dODF) that can, for example, be used with diffusional kurtosis imaging fiber tractography (DKI-FT). The system can include a non-transitory memory storing computer-executable instructions and a processor that executes the computer-executable instructions to perform the following operations. Diffusion magnetic resonance imaging (dMRI) data can be received. Based on the dMRI data, a diffusion tensor (DT) and a diffusional kurtosis tensor (DKT) can be determined. A kurtosis dODF can be determined for the dMRI data based on the DT and the DKT. The kurtosis dODF extends a Gaussian approximation of the DT to include non-Gaussian corrections of the DKT.

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Ali Tabesh