Efficient estimation of propagator anisotropy and non‐Gaussianity in multishell diffusion MRI with micro‐structure adaptive convolution kernels and dual Fourier integral transforms

PURPOSE: We seek to reformulate the so‐called Propagator Anisotropy (PA) and Non‐Gaussianity (NG), originally conceived for the Mean Apparent Propagator diffusion MRI (MAP‐MRI), to the Micro‐Structure adaptive convolution kernels and dual Fourier Integral Transforms (MiSFIT). These measures describe...

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Detalles Bibliográficos
Autores principales: París, Guillem, Pieciak, Tomasz, Aja‐Fernández, Santiago, Tristán‐Vega, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Research Articles—Computer Processing and Modeling
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826470/
https://www.ncbi.nlm.nih.gov/pubmed/36121312
http://dx.doi.org/10.1002/mrm.29435

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9826470/
https://www.ncbi.nlm.nih.gov/pubmed/36121312
http://dx.doi.org/10.1002/mrm.29435

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