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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Vydané v:	Magnetic resonance in medicine Ročník 89; číslo 1; s. 440 - 453
Hlavní autori:	París, Guillem, Pieciak, Tomasz, Aja‐Fernández, Santiago, Tristán‐Vega, Antonio
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Wiley Subscription Services, Inc 01.01.2023 John Wiley and Sons Inc
Predmet:	Algorithms Anisotropy Brain - diagnostic imaging Computational efficiency Computer applications Computing time Convolution Diffusion Diffusion Magnetic Resonance Imaging - methods EAP Evaluation Humans Image Processing, Computer-Assisted - methods Integral transforms Kernels Magnetic resonance imaging MiSFIT multishell non‐Gaussianity propagator Reliability analysis Reproducibility of Results Substantia alba s—Computer Processing and Modeling multishell MiSFIT propagator EAP anisotropy non-Gaussianity
ISSN:	0740-3194, 1522-2594, 1522-2594
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